Python Certification Training in New Jersey, NJ, United States

Learn Python Programming Language from Basics to Advanced

  • 24 hours of Instructor led Training
  • Immersive hands-on training on Python Programming
  • Learn Python Programming core concepts-control flow, operators, functions, syntax & indentations
  • Learn Best Python Coding Practices

Python Training Course Description

Python Certification will assist you in mastering the concepts of Python and its libraries like SciPy, Matplotlib, Scikit-Learn, Pandas, NumPy, Lambda functions, and Web Scraping. Learn how to write Python Programming for Big Data systems such as Spark and Hadoop.  

Python certification is suitable for beginners, intermediate learners as well as Python experts. Learn Python from scratch and work on real-world projects and case studies to get extensive hands-on experience. 

Over the course duration, interact with the instructors in real-time, that is, listen, learn, interact, question, and apply.

Do you know what exactly is Python?

So what exactly is Python? It’s not as complicated as you think!

Python is a high-level performing, object-oriented, multi-purpose programming language. It has an integrated dynamic semantics which is mostly used for web development as well as app development. Python offers dynamic typing and dynamic binding, which makes it appealing in the field of Rapid Application Development. Also, Python supports packages and modules, encouraging code reuse and program modularity.

What Programming skills will you learn with this Python Certification Training Online?

  • About interpreters and Python Script
  • How to install Anaconda and Python distribution
  • To write Python code to implement string operations
  • To write Python code to understand and implement Python Data Structures
  • To write Python code to implement loop and control structures in R
  • To write Python code to create your own custom functions without or with arguments. Also, learn how to call them by passing arguments as per requirements
  • To write Python code to create modules as well as execute them
  • To write Python code to use Regular Expression and match pattern, parse data and so on
  • To write Python code to construct a class and define objects

The course curriculum has been designed in such a manner that you’ll receive the most advanced knowledge and skills. You can become an expert in Python by grabbing the opportunity to learn hands-on coding with guidance and reviews from our mentors. You will be learning from the best in the field as all our trainers and mentors are experienced professionals.

If you have a basic knowledge of programming concepts and object-oriented concepts and wish to make a career out of Python as a Software Engineer, Python Developer, Data Scientist, Data Analyst, Research Analyst or Software Developer, then choose the best Python certification course and make your dream career come true!

Python Tutorial Chapters

Chapter No

Python Tutorial Chapters

1

Python - Introduction

Get a brief idea of what this Python tutorial has to offer. Know about the main features of Python along with the history of its development.  Learn some important applications of Python, including data science, machine learning, image processing etc, along with who uses Python. 

2

Python - Getting Started

Gain a brief idea about Python Online. Learn how to install Python on your Windows and Linux machine with the help of the installation instructions provided in this module. Also, get acquainted with alternative Python distributions such as Anaconda and Canopy.

3

Python - Basic Syntax

Gain an understanding of Keywords, Identifiers and Statements to learn about the basic syntax of Python. Learn the rules of naming identifiers, Intends and Comments with suitable examples. 

4

Python - Variables

Acquire knowledge on the data type systems in Python, viz. Standard or Built-In data types, which include Numbers, Sequences and Mappings. Learn about Variables, Dynamic Typing and Mutability of Objects in this module. Moreover, gain an understanding of the input/output functions input() and print() along with appropriate examples.

5

Python - Numbers

This module deals with the representation of numeric data types, viz. int, bool, float, complex. Learn about the Built-in Conversion Functions such as int(), float(), complex(); as well as the Built-in Mathematical Functions such as abs(), hex(), oct(), pow(), round() with simple examples. 

6

Python - Strings

Get a detailed look at the characteristics of Python’s string data type and the different escape sequences. Learn various useful methods of built-in String class – such as changing cases, finding and replacing within the string, etc. String formatting and format() function is explained with suitable examples. 

7

Python - List and Tuple

Learn about Python’s built-in container types, List and Tuple. Know the similarities and the differences between the two. Gain an understanding of the built-in functions that can be used along with List as well as Tuple. The Conversion functions list(), tuple() and str() are illustrated in this chapter.

8

Python - Dictionary

Definition of Dictionary along with its representation and examples of dictionary objects. Learn how to access and update values in the dictionary. Gain an understanding of the built-in functions and dictionary class methods. Learn about the Keys(), values() and items() methods with suitable examples.

9

Python - Sets

Know everything about Sets and set() function that you need to know with the help of suitable examples. Learn about the different methods by which the set object can be modified. 

This module also explains how various set operations like union, intersection are performed using respective methods in Set class.

10

Python - Operators

This module deals with operators in Python, that perform various operations on Python objects. Learn about the arithmetic and logical operations defined in Python. Moreover, get to know the use of set operators corresponding to methods in Set class. Get to know about the identity, membership and bitwise operators.

11

Python - Conditional Statements

Get to know the proper definition of program and programming. Acquire the knowledge of logical programming and learn how the statements are executed. Learn how to use the different conditional statements, viz. if, else and elif with appropriate examples.    

12

Python - Loops

Gain a basic understanding of loops through this module. This module describes the importance and usage of while loop, for loop as well as nested loop in Python with the help of examples. Python’s loop control keywords break and continue have been dealt with in detail in this module.

13

Python – Built-in Modules

Python library is bundled with a large number of modules, each containing a number of utility functions. In this module, frequently used functions from various modules are explained with examples. The sys module and statistics module has also been covered. 

14

Python - User Defined Functions

Learn how to define a new function as per requirements and how to call it. Different features of defining and passing arguments to a function are explained with suitable examples in this module. Learn how to make a function return value. Moreover, calling the function by reference is also explained.

15

Python – Functional Programming

This module will give you an overview of some important tools supporting functional programming paradigm. Learn about iterator and generator functions in this module. It also deals with list comprehension and related tools in details.  Learn how to use the map(), filter() and reduce() functions.

16

Python - Custom Modules

This chapter will help you learn how to build a module and import functions from it. Learn how to use the various attributes of these modules under diverse programming situations. Additionally, study how to build a module and import functions from it.  

17

Python - Packages

This module deals with packages, as well as how to construct a package and import functions from it. Furthermore, build a package and install it for system-wide use with the help of setup tools module. The process of publishing module on Python package index repository has also been discussed.

18

Python - Exceptions

This module discusses Exceptions and the numerous predefined Exception classes present in a Python library. Get to know the various exception types. Learn how to use try, except and finally keywords to understand Python’s exception handling mechanism. Define customized exception classes and raise their instances.

19

Python - FileIO

Get acquainted with the built-in File object of Python in this chapter. Various file opening modes like append and simultaneous read/write are explained with relevant examples. A section in this chapter deals with file related exception handling. Moreover, learn how to perform read/write operations on a binary file.

20

Python - CSV

Learn what are Comma Separated Values (CSV) format. Learn about its Reader and Writer classes as well as convenience functions along with suitable examples. 

The various functions discussed are writer(), writerow(), writerows(), reader(), DictWriter(), writeheader(), DictReader(). This module also discusses, in brief, the Dialect class. 

21

Python – Database Connectivity

This chapter introduces the concepts of a relational database, explaining the basic SQL queries for CRUD operations with the help of SQLite and MySQL database. Learn how Python programming can be used to perform SQL operations on the SQLite database.

Here, MySQL connectivity is explained by installing PyMySql module.

22

Python – Tkinter

Get a deeper insight into Tkinter. Learn how to form a basic window and put various widgets like button, label, entry etc. Get to know its layout management with place(), pack() and grid() methods. Learn about Event handling mechanism and how to draw different shapes using the Canvas widget.

23

Python - OOP

Understand the difference between a procedure-oriented approach towards programming from an object-oriented approach. Learn how to build a user-defined class and set up its objects.

Additionally, the concept of constructor, instance attributes and methods are explained along with Python’s built-in property() function using examples.

24

Python - Decorator

Understand what a Decorator is and learn how to define a decorator. Understand the built-in property() function and how to use it as a @property decorator. Moreover,  learn about the @classmethod and @staticmethod built-in decorators as well. 

25

Python - Inheritance

In this chapter, take a look at Python’s implementation of the principle of inheritance. Understand the Syntax of Inheritance. Other topics discussed in this chapter are Overriding, multiple inheritance and Protected attributes.    

26

Python - Magic Methods

This chapter will help you understand what Magic Methods are. In this chapter, magic methods used for object customization are discussed. They are __new__(), __repr__() and __str__(). Get to know about operator overloading and object customization. MyTime class has been used to demonstrate operator overloading.

27

Python - Regex

This chapter explains all the functions that are defined in the regex module of Python’s standard library. This chapter demonstrates searching for, matching, finding and compiling regex patterns. Towards the end of the chapter, typical use cases of regex such as matching domain names are explained.

28

Python - CGI

Important features of Python’s implementation of the CGI protocol has been discussed. It describes how Apache server is configured for running *.py files as a CGI script. Various attributes, methods of FieldStorage class have been used to demonstrate how data is sent from a web client and result is redirected from the server. 

29

Python – Send Mail

This chapter deals with the SMTP protocol with the help of the smtplib module.

A suitable example is used to show how we can use Gmail by configuring its SMTP server to send an email from a Python script.

30

Python - Object serialization

Gain an understanding of serialization and deserialization. In this chapter, understand and learn pickle protocols, which is Python’s own serialization format. Serialization functionality of marshal and shelve module is also explained. Finally, learn how Python objects are represented in JSON format with the help of the JSON module.

31

Python - Multithreading

In this chapter, understand the principles of concurrent threads in a program. The threading module defines functions to initialize, start run and terminate a thread. We shall also see how a thread can be paused and resumed. This chapter takes a look at the concept of thread synchronization.

32

Python - XML

This chapter covers the implementation of the ElementTree API model. With the help of a suitable example, understand and learn how Python objects can be serialized in XML format and reconstructed back. Moreover, learn how to parse, modify an XML file and the comparison between DOM and SAX APIs.

33

Python – Socket Module

This chapter takes a look at the functionality of the 'socket' module that provides access to the BSD socket interface, and focuses mainly on connection-oriented TCP sockets. Understand the various Server Socket methods and learn how to set up a socket server as well as a client application.

34

Python - Dataclasses

Data classes module is the latest addition to Python’s standard library. The @dataclass decorator helps in auto-generation of constructor and operator overloading methods in a class. The functions asdict(), astuple() and make_dataclass() have been discussed with respective examples in this chapter. 

Why Python Certification Course?

Python has been voted as the most wanted technology of the year 2018, according to the 2018 Developer Survey by StackOverflow. Also, it has been ranked as the seventh most popular programming language in the world amongst software developers.

With various resources available in the market that can teach you to code in Python version 3 without any experience of coding in Python version 2, it is necessary that you make the right choice of course for you. Python 3 being the latest version of Python, is also the future. And starting with the latest version of a programming language is a decision that you will never regret.

The Python Certification course provided by KnowledgeHut is an instructor-led, 24 hours live session with 7- hours of MCQs and assignments. It also includes 22 hours of hands-on practical sessions with Python along with three use cases.

The Python certification training will introduce you to the world of Python and enable you to learn Python from scratch. It will expose you to its architecture, design philosophy, basics of scripts, applications, and packages through hands-on practical sessions.

What you will learn in this Python Certification Course

Python Course Prerequisites

We recommend:

  • Knowledge of basic programming concepts
  • Knowledge of object-oriented concepts will be beneficial

3 Months FREE Access to all our E-learning courses when you buy any course with us

Who should Attend this Python Training Course

  • Web developers, programmers, engineers, big data scientists, etc
  • Professionals who want to strengthen their knowledge of Python
  • Suited for beginners and experienced professionals

KnowledgeHut Experience

Instructor-led Live Classroom

Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.

Curriculum Designed by Experts

Our courseware is designed by industry experts who have real-world experience. Get the most advanced knowledge and skills.

Hands-on coding

Learn theory backed by practical case studies, exercises, and coding practices. Apply skills and knowledge effectively in the real world.

Expert Mentorship

Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.

Advance from the Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get reviews and feedback on your final projects from professional developers.

Meet your instructors

Sukesh

Sukesh Marla

Founder

Irrespective of project size I believe in working as a team. We are a team of highly qualified engineers with each specializing in their own field like designing, testing and development.
Working in a team ensures the work is not affected in case of any eventuality of any of team member. This guarantees timely delivery.

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Projects in this Python Certification Course

Jumbled Word

Build a small game to rearrange jumbled letters and create a word. A player is given a jumbled word, player will have to arrange the characters of the word and make a correct meaningful word.

Read More

Dice Rolling Simulator

Build a dice rolling simulator using Python, which will randomly select a number between 1 and 6. After selecting the number, it should print it and ask you if you would like to roll the dice again.

Read More

Tic-Tac-Toe

Create the classic Tic-Tac-Toe game (also called Noughts and Crosses) in Python using user defined functions, while loops etc. Player takes turns marking the spaces in a 3×3 grid.

Read More

Calculator

Calculators are handy and can be used to perform simple tasks using simple operations like addition, subtraction, multiplication and division. Create a calculator using operators in Python to add, subtract, multiply and divide.

Read More
Note:These were the projects undertaken by students from previous batches.  

Python Certification Course Curriculum

Learning Objective:

Learn about the history of Python and its various uses. Learn to use interpreters and also learn about how Python scripts work on UNIX/Windows.

Topic Covered:

  • History of Python
  • Why to use Python?
  • Starting Python
  • Interpreter PATH
  • Using the Interpreter
  • Python Scripts on UNIX/Windows

Hands-on:

Learn about interpreters and Python Script.

Learning Objective:

Learn how to install Python distribution - Anaconda. Learn basic data types, strings & regular expressions.

Topic Covered:

  • Python Editors and IDEs
  • Install Anaconda

Hands-on:

Install Anaconda - Python distribution

Learning Objective:

In this module, you will learn to convert messy text into something useful.

Topic Covered:

  • String Operations
  • Data Types & Variables
  • Commonly used Operators

Hands-on:

Write Python code to implement string operations.

Learning Objective: 

Learn the various data structures that are used in Python.

Topic Covered:

  • Arrays
  • Lists
  • Tuples
  • Dictionaries
  • Sets

Hands-on:

Write Python Code to understand and implement Python Data Structures.

Learning Objective:

Learn all about loops and control statements in Python.

Topic Covered:

  • For Loop
  • While Loop                
  • Break Statement
  • Next Statements
  • Repeat Statement
  • if, if…else Statements
  • Switch Statement

Hands-on: 

Write Python Code to implement loop and control structures in R.

Learning Objective:

Write user-defined functions in Python. Learn about Lambda function. Learn the object oriented way of writing classes & objects.

Topic Covered:

  • Writing your own functions (UDF)
  • Calling Python Functions                 
  • Functions with Arguments
  • Calling Python Functions by passing Arguments
  • Lambda Functions

Hands-on:

Write Python Code to create your own custom functions without or with arguments. Know how to call them by passing arguments wherever required.

Learning Objective: 

Learn to build modules and install packages.

Topic Covered:

  • The Import Statement
  • Module Search Path
  • Package Installation Ways

Hands-on:

Write Python Code to create modules and execute them.

Learning Objective: 

Learn about Regular Expression Objects, subexpressions, tips and tricks to implement while you code.

Topic Covered:

  • RE Objects
  • Pattern matching
  • Parsing data
  • Subexpressions
  • Complex substitutions
  • RE tips and tricks

Hands-on:

Write Python Code to use Regular Expression and match pattern, parse data and so on.

Learning Objective: 

Gain knowledge on OOPs to code easily and efficiently. Learn to construct classes and define objects.

Topic Covered:

  • Introduction to Python Classes
  • Defining Classes
  • Initializers
  • Instance Methods
  • Properties
  • Class Methods and Data
  • Static Methods
  • Private Methods and Inheritance
  • Module Aliases

Hands-on:

Write Python code to construct a class and define objects.

Learning Objective: 

Study Use Cases to explore Python

Topic Covered:

  • Use Case

Hands-on:

Use cases covering conditional statements, functions, classes, modules, regular expressions.

Python Certification Process

What is Python

Python is a popular programming language that is interpreted, high-level and object-oriented. Along with the data structures, it offers dynamic building and typing capabilities which makes it a language that can be used for Rapid Application development. Also, the syntax of Python is easy. Since it can be easily read and inferred, the cost of maintaining the program is quite low. The Python interpreter and standard library make it the most preferred language among developers. It helps remove the compilation steps from the programs, thereby increasing the productivity of the language.

In the late 1980s, a member of the National Research Institute of Mathematics and Computer Science named Guido Van Rossum first conceptualized Python. The language was designed as a response to the ABC programming language. Van Rossum was working as an implementer of the ABC language at the CWI (Centrum voor Wiskunde en Informatica) when he started creating a language with syntax similar to ABC. This language also had access to the distribution system Van Rossum was working on at that time named AMOEBA system cells. He developed the language, overcame the flaws of ABC and introduced the first version of the language in 1991 with the name Modula 3.

The creator of Python, Guido Van Rossum, was a big fan of the comedy TV show of BBC ‘Monty Python's Flying Circus'. It was a hit show in the 1970s. He wanted a short and unique name for his language and this is why he named his pet project, Python.

New Jersey is home to several tech companies hiring Python developers, including AllianceBernstein, ITL USA, Eniac Systems, COIN APEX, Health Recovery Solutions, Softvision, Mizuho Americas, Tradeweb Markets LLC, Classlink, Hudson River Trading, Arch, Avatar Securities, etc. It is also home to around 2800 startups, leaving their mark on the NYC-area tech scene. 

Here are the top 5 reasons that make Python the most popular programming language for beginners and experts in New Jersey:

  • Community: Thanks to the big open-source community of Python, there are several projects available online that you can integrate within your own project.
  • Corporate sponsor: Google uses Python intensively and heavily backs it. It also provides updated Python guides and tutorials for beginners.
  • Academics: Python is used for research purposes due to its usability for general purpose tasks. Its powerful libraries are used in fields like data science and machine learning.
  • Efficiency: You can create a Python script and deploy it in any environment. This makes Python very efficient and versatile. It can minimize the code’s length and maximize its output using Regular Expressions.
  • Learning: Python is easy to learn, read and understand. It has a shorter learning curve. Any beginner can easily take up the language and start coding.

Here are the top reasons for learning Python today:

  • Ease of learning: Python has an easy syntax that is highly readable. Even if you are not an expert, you will be able to understand a Python program.
  • General-purpose: Since Python can be used for general purpose tasks, it is used in different fields like web development, cloud computing, machine learning, and data science.
  • Big community: Thanks to its big global community, Python contains packages that are stable and are regularly updated.
  • Flexibility: It is a very flexible language since it can be implemented with another programming language as well.

If you are a beginner, here is how you can get started with Python:

  1. Understand why Python: Know why you want to learn Python. It will help you stay motivated in the long run. For this, figure out areas that interest you and learn how you can implement Python in them.
  2. Install Python: Install Python from either the official website or the Anaconda Package Manager.
  3. Use IDE: IDEs are used for debugging your code.
  4. Learn basics: Learn the basics of programming using blogs, courses, and online videos.
  5. Implementation: Create a project for learning the implementation of Python. You can also join various bootcamps in New Jersey to get an experience of building real-world applications.

If you want to learn Python for free, here are 8 tricks to do that:

  • Help in Python: Use the help() function to learn about the workings of an object.
  • Indentation: Python uses indentation in place of curly braces for defining the block’s scope.
  • Data types: Python provides data structures like lists, dictionaries, and tuples. 
  • Flow control statements: The flow control statements include if, for, while, and range (<number>).
  • Functions and classes: Python uses the def keyword for function and class for classes. 
  • Exceptions: Try-except is used for exception handling.
  • I/O: Built-in libraries handle file handling.
  • Importing libraries: Several external libraries can be imported into the main Python program by using:

import <library> or from <library> import <function> keyword.

Python Certification in New Jersey, NJ

No, Python is considered to be an easy programming language. Built-in functions and inbuilt Python library makes programming easy, less complex, and efficient.

It has an easy syntax that is similar to the English language that makes it easier for the developer to learn, read, and understand.

Yes, Python is an easy programming language for beginners. Here are the top reasons that make it easy for beginners to learn Python programming language:

  • It provides a simple yet effective coding approach due to the data structures it offers.
  • Since it is an object-oriented programming language, it will help you while learning other programming languages as well.
  • The vast in-built library of Python and built-in functions saves time by increasing efficiency and decreasing complexity of the program.
  • Its syntax resembles the English language, making it easier to learn, read and build.
  • Python has a short learning curve, as opposed to the steep learning curve of other programming languages.
  • There is a lot of documentation available on Python that can help out a developer when they are stuck.
  • The Python community is a helpful community. There is an online forum of Python developers where they can discuss their queries.

If you are completely inexperienced in programming, it will take you 3 to 4 months to learn Python, provided you spend 4 hrs/day. However, if you are familiar with the basics of programming, you will only have to learn the syntax of Python. This will take you approximately 1 month.

To learn Python, you can try one of the several institutes offering beginners as well as experts level course in New Jersey. Another option is to go through a boot camp. 

Here is a list of the 4 best ways to learn the Python language online in 2019.

  • Complete Python Bootcamp: Go from zero to hero in Python 3: Offered by Udemy, this course is for beginners who want to start their programming career in Python. It will take about 24 hours to complete during which you will learn about classes, decorators, etc. It will also teach you how to develop games on Python.
  • The Python Bible™ | Everything You Need to Program in Python: Another Python course offered by Python, this course aims at turning beginners into professionals. You will be able to complete the course in about 9 hours. You will be learning about variables, loops, and data structures. This course also includes 11 projects that you will be working on.
  • Google's Python Class: This course includes written materials, lectures, and coding exercises. You will be learning about basic and advanced Python libraries like IO, HTTP, etc.
  • Full Stack Python: Best Python videos: This website contains tons of video resources that cover basic as well as advanced topics. This course is recommended for beginners as well as experts.

Since Python is used in several projects and applications, the average Python developer salary is quite high. The average salary for a Python Developer is $65.68 per hour in Jersey City, NJ.

https://www.indeed.com/salaries/Python-Developer-Salaries,-Jersey-City-NJ 

How to Learn Python in New Jersey, NJ

Here is how you can start learning Python the right way:

  • Figure out what motivates you

Find out why you want to learn Python. There are several areas that use Python. Figure out the one that excites you the most and learn how you can apply Python there. Some of those areas include the following:

    • Data Science 
    • Hardware/ Robots/ Sensor development
    • Games
    • Development of scripts in order to automate work
  • Learn the basic syntax

Next step is to start learning the syntax of Python. This shouldn’t take much time as Python has an easy syntax. Once you have a basic understanding of the syntax, you will be able to start creating basic programs.

  • Develop Structured projects

Once you have understood the basic Python syntax, you can move on to developing projects. This is the best way for learning Python. Until and unless you apply your Python knowledge in a project, you won’t be able to retain the knowledge.

There are several applications and projects that still use Python 2. So, if you want to learn Python, here are the 3 best ways to do so:

  • Python 2 Course: This course is meant for beginners. But many intermediates and experts have also taken this course due to the depth of knowledge in this course. There is an online interpreter on the website that will help you gain hands-on experience. You can even download the whole course and print it.
  • Python 2.7 Tutorial: Based on the mybringback YouTube channel’s Python content, this tutorial is for absolute beginners. It is a free course with video-based tutorials.
  • Learn Python 2: In this course, you will be learning Python2 from scratch. It is a combination of two Python courses – Google's Python class and Django's girl Python tutorial. This free course has 22 parts that cover the following topics:
    • Dictionaries and lists 
    • Regular expression and Python 2 utilities
    • Sorting as well as File I/O

Python is one of the most preferred programming languages used by developers. Here are the benefits it offers over other programming languages:

  • Most platforms of big data, automation, and data mining use Python because it can be used for general purpose tasks.
  • It can be used for programming as well as research purposes because of its ease of learning and high readability.
  • The global community of community provides packages and releases newer, in-trend, and stable updates.
  • It powers frameworks like Ruby on Rails, Django, etc. that improves the development process.
  • When compared to other programming languages like Java or C#, a Python coder is more organized.

Here are the 5 best resources to learn Python:

  • Learn Python 2 - Codecademy: This course takes 25 hours to complete and has no prerequisites. You will learn about the fundamentals of Python programming language.
  • KnowledgeHut: This Python Certification course by KnowledgeHut will help you transform from a newbie to an expert. It covers the fundamentals of Python like control flow statements, operators, indentation, functions, and syntax. This is an instructor-led, 24 hours live session with 7- hours of MCQs and assignments.
  • Real Python: Along with the basics, it will teach you how to use Python for web programming. You will learn about web development frameworks like flask, web2py, and Django.
  • Learn Python, it's cake - Udemy: This free course is for beginners with no prior programming experience. The whole course will take about 7 hours for completion.
  • Python for entrepreneurs: This course costs $89 USD and takes 19.3 hours to complete. It is meant for people looking to use the language in their business.

If you have no experience in programming and want to learn Python, you need to follow the below-mentioned steps:

  • Find motivation: It is easy to lose motivation while learning Python. You need to find your area of interest and then learn how you can implement Python in it. Some of the fields that rely heavily on Python include Data science, Web development, Machine learning and Game programming, etc.
  • Learning basics: Next, you can start learning the basics of Python that includes its syntax. Python has an easy syntax that can be learnt in a short span of time. You can try one of the following courses for getting familiar with the syntax of Python:
  • Implementation: Once you have got the knowledge, you need to start implementing it. You can try creating projects which can be as small as an automation script. 
  • Social coding: Contribute to an online open-source project for gaining knowledge of how projects work. Try websites like GitHub etc. for the same. It will also help you build your network.
  • Competitions: Participate in online or offline competitions. This will help you learn how to obtain optimum solution under given restrictions. It encourages out of the box thinking.

Python is one of the most preferred programming languages used in the field of Data Science. Here is how you can learn the language in 7 steps:

  • Step 1: The first step is to set up Python on the system. You need to set up the environment containing all the basic tools required for programming.
  • Step 2: Start with the basics. Learn about dictionaries, lists, tuples, importing and exporting of libraries/functions, etc. You will also learn how to get the result by using different libraries in a single program.
  • Step 3: Data science projects heavily rely on data cleaning because the data that is available is in the form of raw data. This input data can be in the form of text data which you can process using Regular Expressions offered by Python.
  • Step 4: Learn about data science libraries such as NumPy, matplotlib, SciPy, scikit-learn, etc. Use these libraries to create projects.
  • Step 5: Data visualization is an important part of the job of a data scientist. With the matplotlib library, you will be able to visualize data sets easily.
  • Step 6: Next comes implementing your Machine learning knowledge. There are several libraries offered by Python that can be used to set up your ML model. Scikit-learn is the library used for the same.
  • Step 7: Practice. Use online projects or online competitions to improve your skills.

Python Developer Salary in New Jersey, NJ

In New Jersey, the average income of a Python developer is $122,348 per year. On the other hand, in New York, the average income for the same is $131,981.

https://www.indeed.com/salaries/Python-Developer-Salaries,-New-York-NY 

The average salary of a Python Developer in New Jersey is $122,348, which is less than the average salary in Boston, $124,237 per year.

https://www.indeed.com/salaries/Python-Developer-Salaries,-Boston-MA 

In comparison to Chicago, $118,878, a Python developer earns more in New Jersey, which is $122,348 per year.

https://www.indeed.com/salaries/Python-Developer-Salaries,-Chicago-IL 

Owing to several tech companies established in New Jersey like ADP, IDM People, Bank of America, Cognizant Technology Solutions, ClassLink Inc., Softvision, Mizuho Americas, etc. and the popularity of the Python programming language, the demand for Python developers in New Jersey is quite high.

A Python developer in New Jersey enjoys the following benefits:

  • Hefty salary
  • Tremendous growth in career
  • Multiple job opportunities

There are certain perks and advantages that a Python developer enjoys over other tech jobs in New Jersey. Since it is such a simple, easy, and versatile language, it is used in several projects by different companies. This allows them to connect with upper level management. Also, there are multiple opportunities to network with other Python developers through tech talks, meetups, and conferences.

Some of the companies that are hiring Python developers in New Jersey are Bank of America, JP Morgan Chase, Goldman Sachs, Marsh & McLennan Companies, Synechron, EPAM Systems, FliptRx, BNY Mellon, Brown Brothers Harriman, AllianceBernstein, COIN APEX, Eniac Systems, ITL USA, Health Recovery Solutions, etc.

Python Conferences in New Jersey, NJ

S. NO.CONFERENCE NAMEDATEVENUE
1.Python Immersive Bootcamp 
Mon, Jul 22, 2019- Fri, Jul 26, 2019

Practical Programming 115 West 30th Street 5th Floor, 501 New York, NY 10001 United States

2.Python Programming 101
Tue, July 30, 2019

Practical Programming 115 West 30th Street 5th Floor, 501 New York, NY 10001 United States

3.Python for Web Scraping
Mon, August 12, 2019

Practical Programming 115 West 30th Street 5th Floor, 501 New York, NY 10001 United States

4.Python for Data Science (Weekend course)
Sat, August 17, 2019- Sat, September 7, 2019

Practical Programming 115 West 30th Street 5th Floor, 501 New York, NY 10001   United States

5.Python Programming Bootcamp

Mon, Aug 19, 2019- Thu, Sep 12, 2019

845 3rd Avenue New York, NY 10022 United States

1. Python Immersive Bootcamp

  • About the Python Immersive Bootcamp: The program will help you learn Python from scratch to creating your own applications and games.
  • Event Date: July 22, 2019-July 26, 2019
  • Venue: Practical Programming West 30th Street. 5th Floor, 501, New York, NY 10001, United States
  • Days of Program: 5 Days
  • Timings: 10:00 AM-5:00 PM Daily
  • Purpose: The boot camp aims at teaching the fundamentals of Python and lay a solid foundation for a career in Data Science, Application Development and IT operations.
  • With whom can you Network in this conference: You can interact with both experts and beginners to explore Python as a programming language, thereby enhancing your skills.
  • Registration cost: $999

2. Python Programming 101

  • About the Python Programming 101: This class aims to help beginners to feel confident to start using the Python programming language through the basics.
  • Event Date: July 30, 2019
  • Venue: Practical Programming 115, West 30th Street. 5th Floor, 501, New York, NY 10001, United States
  • Days of Program: 1 Day
  • Timings: 6 PM TO 9 PM EDT
  • Purpose: It is a foundation for Python. It will help beginners to work with built-in data structures. It will also make them feel comfortable with Text Editor and Terminal.
  • Registration cost: $99

3. Python for Web Scraping

  • About the Python for Web Scraping conference: This conference will focus on how to scrape Amazon Product Details and Pricing using Python.
  • Event Date: August 19, 2019- September 12, 2019
  • Venue: Practical Programming West 30th Street. 5th Floor, 501, New York, NY 10001, United States
  • Days of Program: 1 Day
  • Timings:  6 PM TO 9 PM EDT
  • Purpose: The workshop will explore different methods to gather data from the Web. The conference will include the whole process of gathering, storing and analyzing data. During the course, the attendees will learn how to use numerous Python libraries - Urllib, Requests, Wget, BeautifulSoup 4.0, SSL, PDFminer3k, Twitter and others.
  • Registration cost: $149

4. Python For Data Science

  • About the Python Programming Bootcamp: The program serves as the foundation for many well-known concepts of data science. It will provide students with knowledge on how to apply Python to solve linear algebra, statistics, and probability problems.
  • Event Date: August 17, 2019- September 7, 2019 (Every Saturday)
  • Venue: Practical Programming, 115 West 30th Street. 5th Floor, 501, New York, NY 10001, United States 
  • Days of Program: 4 days (Saturday every week)
  • Timings: 10:00 AM TO 3 PM EDT on all days
  • Purpose: It is a foundation course for Python learners which will enable them to learn the necessary tools to use Python programming in Data Science.
  • Registration cost: Starting from $1060

5. Python Programming Bootcamp

  • About the Python Programming Bootcamp: This class aims to help maximize learning and know about the fine details of Python as a programming language.
  • Event Date: August 19, 2019- September 12, 2019
  • Venue: 845 3rd Avenue, New York, NY 10022, United States
  • Days of Program: 25 Days
  • Timings: 6 PM TO 9 PM EDT on all days
  • Purpose: It is a foundation course for Python. It will help attendees learn the basics and the details of Python programming.
  • Registration cost: $5400
S.NO.CONFERENCE NAMEDATE
VENUE
1.Coding with Python
October 25, 2017

SCLSNJ’s Warren Township Library branch 42 Mountain Blvd. Warren, 07059

2.IEEE North Jersey Section Course: Introduction To Python Programming
September 29, 2018- November 10, 2018

FDU Metro Campus 960 River Road, Teaneck, NJ 07666 Teaneck, New Jersey 07666

3.Python Fundamentals
November 7, 2018
Summit Free Public Library, 75 Maple Street Summit, NJ, United States

1. Coding with Python

2. IEEE North Jersey Section Course: Introduction To Python Programming

  • About the Conference: This course covered intermediate features of the language including object oriented programming, common data processing libraries related to different data storage and exchange formats (pickle, xml, json libraries), building and organizing larger programs using packaging capabilities. It also covered web-services, database (sqlite3), and graphical user interface programming.
  • Event Date: September 29, 2018- November 10, 2018
  • Venue: Becton Building, FDU Metro Campus 960 River Road, Teaneck, NJ 07666 Teaneck, New Jersey 07666
  • Days of Program: Seven weekly classes
  • Timings: 9 AM to 12:00 PM 
  • Registration cost: Members- $300, Non-members- $400

3. Python Fundamentals

Python Developer Jobs in New Jersey, NJ

New Jersey is home to more than 16,100 tech business establishments. Python is widely used by these companies to build web apps, examine data, and build reliable, scalable enterprise applications. So, naturally Python developers are in high demand in New Jersey. Currently, there are around 1402 Python jobs available in New Jersey on Indeed.com. 

Below are some of the companies hiring for Python developers in New Jersey:

  1. Bank of America
  2. JP Morgan Chase
  3. EPAM Systems
  4. Synechron

The main responsibility of a Python developer is writing code for developing applications. Apart from this, they also have to work on creating logic for computing and processing data in high-performance applications. They also help in protecting data by implementing security measures.

Learn Python Programming in New Jersey, NJ

Here are the reasons why one should start learning the Python programming language in New Jersey:

  • Popularity and potential for high salaries: Python is a popular programming language that is universally used for several development needs. The language offers several options to the program. The popularity of the language has also helped the developers get the highest salary in the industry. 
  • Extensible and portable: In order to perform cross languages operations, extensibility and portability properties of Python are used. The language is supported by some of the major platforms of the industry like Linux, Solaris, Macintosh, and PlayStation.
  • Simple and Easy to learn: Python programming language is very easy to learn. Its syntax is similar to the English language. Also, it is an interpreter, free, high-level, open source programming language that is supported by a huge, active developers' community.
  • Web Development: There are several frameworks available for Python developers that help them in developing websites. Also, most of the frameworks used for building websites are created using Python. So, using Python will help you work faster and in a stable manner.
  • Testing Framework: Various established companies use Python for validating ideas and products. It consists of several testing networks including frameworks that provide fast workflows and debugging. Python makes the tedious task of testing easier.
  • Computer Graphics: There are several online and offline project in which Python is used. The Tkinter library of Python helps in creating applications fast and easily. The ‘pygame’ module can be used for developing games.
  • Scripting and Automation: During the scripting process, the code is written in an executable form. The machine then reads and interprets the scripts and checks for errors occurred during runtime.

Here is how you can create your first program in Python in 4 steps:

  • Step 1: The first step is to check if Python is installed in the system or not. To do so, you can check the version of Python installed on your computer. Type in the following command:

Python --version

  • Step 2: Next, open any text editor and write the following code:

print “Hello world!”

  • Step 3: Save the file as <filename>.py. The .py extension will inform the Python interpreter that it is a Python file.
  • Step 4: The last step is to open the terminal or command prompt, navigate to the directory where the file is stored and run the command:

hello.py

Output: Hello world!

Here are the 2 different ways to run a Python program:

  • In a Python shell
    • Open the IDLE (Python GUI) file
    • Type in the Python script and hit enter
    • The program will start running
  • In a file
    • Use an independent file to type in your script. 
    • Save the file with a ‘.py’ extension. This will tell the system that the file is a Python program.
    • Next step is to open the terminal on the system.
    • Navigate to the directory where the file is stored. You can type in the following command in the terminal:
      • Cd directoryName.
      • Hit enter
  • Type in the command
    • Chmod a+x filename.py to tell your system that the file is an executable program.
  • Next, type ./filename.py to run the program.

For running a Python script on Windows, you need to follow one of the below mentioned methods:

  • Running the Python file containing the command
  • Using the Python REPL (interpreter) for running commands

Both the methods require installation of Python on the operating system. You can check if Python is installed on your system or not by checking the version of Python installed. Type in the following command:

Python --version

  • To enter the REPL shell, you can simply type Python. This works only if the Python executable binary is already present in the classpath.
  • If your window classpath contains the Python executable and you want to run a file, all you need to do is open a command prompt and type in the location of the file. For example:

>> C:\Users\y\hello.py - For Windows

$ /usr/bin/hello.py - For Linux (Ubuntu)

Here is how you can effectively run Python scripts on Mac OS X in 5 simple steps:

  • If you want to use the Finder or the Terminal window for running the Python scripts, you will need to create a script using a document editor.
  • Mac OS X comes with some pre-installed, standard Unix command line editors like vim and emacs.
  • If you want to run the Python script through the terminal window, you will have to add /usr/local/bin to the shell search path.
  • In order to run the Python script through the finder, you need to follow one of the following methods:
    • Dragging the Python script to the PythonLauncher
    • Set PythonLauncher as the default application to open the Python script through Finder. This will allow the user to change the settings for a single invocation or change it globally by using the Preferences menu.
  • You can use Python instead of Python for initializing the scripts that you want to run with a GUI.

Python Applications

Python is a multi-paradigm language that is extensively used for the following applications:

  1. Web application development: Python can be adapted to both fast prototyping and bigger projects. Hence, it is widely used in web application development. Creating a Python-driven web application will help you determine what content to show a user and what actions to take. 
  2. Academics: Due to its useful libraries like Pandas, Scikit-learn, matplotlib, NumPy, and SciPy, Python can be used for academic projects and research purposes. The language is extensively used in fields like Machine Learning, Data Science, etc.
  3. GUI-based applications: If you want to create desktop applications containing smooth interfaces, you can use the GUI library of Python, TkInter.
  4. Business and enterprise applications: Several e-commerce and ERP applications use Python due to its massive libraries, scalability, readability, and extensibility. 

Python is one of the most preferred programming languages in New Jersey. Many popular companies in New Jersey use Python for their programming including the following:

  1. Goldman Sachs
  2. Marsh & McLennan Companies
  3. FliptRx
  4. Brown Brothers Harriman

Python Setup

Once you have created a Python script, it can be used on any platform that is supported by Python. The method to install Python depends on the operating system you are working on.

To download and install Python 3 in Windows, follow the below mentioned steps:

  • Visit https://www.anaconda.com/
  • From the menu, select the Anaconda tab and then click on the Download tab to reach the Download page.
  • Choose the download for Windows.
    • Choose the Python 3.6 option 
    • Select the Graphical Installer
  • Install Anaconda
    • You need to have administrative privileges before installing Anaconda.
    • Click the downloaded Anaconda file.
    • The Anaconda installation wizard will open up that will quickly install the Anaconda package within 10 minutes. The package will take not more than 1GB of your hard drive.
  • Initialize and update Anaconda
    • You need to check if the Anaconda Python environment is up to date or not.
    • This package contains a full suite of Graphical Tools called Anaconda Navigator which can be launched from the application launcher.
    • Select the Conda option. 
    • Open a command line window and type in the following command to make sure that conda is installed in your system:
      • Conda -V
    • Next, to confirm if Python is installed in your system, just type in the following command:
      • Python -V
    • If no error is shown, it means that Conda was successfully installed.

Here is how you can download and install Python on Mac OS X in these easy steps:

  • Visit the Python Website (https://www.Python.org) where you can download the latest version of the programming language.
  • Once the Python is installed on Mac OS X, you will get the following:
    • A framework, viz. /Library/Frameworks/Python.framework, which will include the executables and the Python libraries. The installer will add this location to the shell path automatically. If you want to uninstall MacPython, just remove them from the system.
    • A MacPython 2.7 folder created in the Applications folder. In here, you will see the IDLE, a part of the standard Python distributions that is the development environment.
      • It also includes the PythonLauncher, that is used for handling double clicking Python scripts from the Finder.
      • This will contain the Build Applet tool that will allow the developer to present the Python scripts as standalone applications.
  • The build of Python is installed in /usr/bin/Python and /System/Library/Frameworks/Python.framework. A user should not modify or delete any of these.
  • The IDLE contains a help menu that provides the developer access to the Python documentation. This documentation includes tutorials and FAQs that will help the developer use the programming language easily.

Python 2.7 and Python 3.5 are preinstalled in Ubuntu LTS. However, your Ubuntu doesn’t have Python, here is how you can download and install it in 3 easy steps:

  • Fire up the terminal and update the apt-get package. Type in the following command and enter the password:

$ sudo apt-get update

  • To install Python 3.6, enter the following command and password:

$ sudo apt-get install Python3.6

  • Use the following command to run Python 3.6:

$ Python3

This will launch the Python 3 interpreter.

Note: You would have to install pip and setuptools that are important third-party Python packages.

Python Projects

Here are the 4 best programming projects for Python beginners:

  • Guess the number game: In this game, a random number is generated and the player has to guess the number. If the player guesses correctly, it is shown accordingly. However, if the player makes a wrong guess, the game displays by how much the guess deviated from the answer. The following concepts are used in this game:
    • Variables – For storage and access to data
    • Random function – For generating the random number
    • Conditional statements – For checking the validity of the answer and continuing the game accordingly
    • I/O – For taking the guessing number from the player
  • To-do list application: This is a mandatory project for every programmer. In the to-do list, you must be able to add, update or delete any item. During the project, the following concepts are used:
    • I/O: Takes inputs and provides outputs
    • UI – Creates smooth UI with buttons using GUI libraries
    • Variables – Stores and accesses the program’s data
    • Conditional statements – Controls the program’s flow
  • Adventure game: In this adventure game, an entity moves according to the directions provided by the player. Walls are used as constraints in the game. A suitable message is shown as an output every time a player is confronted with a wall. This game requires the usage of the following concepts:
    • List and data structures: For storing the game’s map
    • UI – For creating UI with buttons using GUI libraries
    • Variables – For storing and accessing the game's data
    • I/O: For taking directions as input and providing messages as output
    • Conditional statements – For controlling the program’s flow
  • Calculator: This is one of the simplest programs. It uses the following concepts:
    • Variables – Stores and accesses the game’s data
    • UI – Creates display fields and buttons using GUI libraries 
    • Conditional statements – Checks the statement’s validity
    • I/O: Takes numbers as input and provides the result as an output

If you want to structure a Python project, here are 3 good resources to do that:

  1. Learn Python the Hard Way

This book will help you transform into an experienced and professional Python developer. It contains tricks used by Python experts for debugging and fixing their code. You will learn how to structure your projects in order to get maximum benefits.

  1. scikit-learn documentation

This machine learning library of Python has several algorithms that are frequently used in data science projects.

  1. Python Cookbook

This all-in-one book is a must-read for every Python developer. It contains everything you need to know to become an industry grade Python developer. You will learn about the basics of the language, structuring the project and its consequences.

The best way to learn Python is by implementing it in a project. Here is how you can find interesting Python projects:

  • Meetups: There are several meetups organized globally for Python developers. In these meetups, latest trends, technology, innovation, and projects are discussed. You can get inspiration from there.
  • Social coding: Social coding is a great way to engage yourself. You can take up projects from NGOs or your friends and help contribute.
  • Self-made projects: If you have any necessity, you can create a project to help yourself out.
  • Hackathons: Online competitions like hackathons are great for taking on projects. If you like a project, you can even contribute to the codebase.
  • Open-source: There is a big, open-source Python community that has several packages. You can start contributing towards it.

Python Books

There are several books written by Python developers that will help you learn the programming language. Here, we have put together a list of the 4 best books to learn Python:

  1. Python Cookbook

This book covers everything. From the basics to writing industry grade code, this book has a comprehensive guideline that will help you learn Python. All the basic topics like text, strings, generators, concurrency, and File I/O are covered. In the later section of the book, you will move on to more advanced topics like utility scripting, data processing, data encoding, and system administration.

  1. Head First Python

Instead of a text-based approach, this book follows a visual approach. This book will help you kickstart your career by using hands-on exercises to understand the fundamentals of the programming language. You will be learning how to create simple built-in functions, data wrangling, exception handling and creating a web application with a database.

  1. Learn Python the Hard Way

This is one of the most popular books used for learning Python. It includes 52 exercises that will help you write industry-standard code. Written by Zed Shaw, this book is for experienced programmers. It will teach you structuring the program, debugging, testing, avoiding common mistakes made by professionals, etc. What makes it a must-read is the tricks mentioned in the books that are used by professionals for finding errors in their code.

  1. Python Programming: An Introduction to Computer Science

This book is for people with zero programming experience. It begins by introducing you to the concepts of computer science and slowly moving up to implementing that knowledge using Python.

There are so many books and tutorials available on Python that a beginner can easily get confused and end up getting the wrong resource. Here, we have compiled a list of 3 best Python books for beginners:

  • Python Programming: An Introduction to Computer Science: This book was written for college students who want to start their developer’s career with Python. Python is used extensively throughout the book to explain the major computer science concepts.
  • Murach's Python Programming: Anyone who is new to programming and wants to start with Python must get this book. The book contains 4 sections:
    • Section 1: Basic concepts of programming and computer science.
    • Section 2: Skills required by every Python developer.
    • Section 3: OOPs concepts and developing OOP programs.
    • Section 4: Implementation. Database and GUI are used to guide the student on creating a program for the real world.
  • Learn Python in One Day: This short book is for programmers who are just starting out and have had bad luck with other books and guides. The book covers the basic Python programming concepts. There are several examples in the book that will help you understand the concept better.

If you want to be an expert in Python, you can try one of the following Python books:

  • Python Cookbook: This book will teach you the basics as well as advanced features of Python and cover up the current coding standards in the industry. Specifically written for Python 3, this book will teach you how to perform common tasks that can be applied to different application domains. This book is meant for experienced programmers. You will learn about all the core language topics including:
    • Metaprogramming
    • Using C extensions in your Python program
    • Network and web programming
    • Data processing and encoding
    • Exception handling, debugging, and testing
  • Learn Python the Hard Way: There are 52 exercises in the book that highlight the common mistakes made by programmers. You will learn to fix those mistakes, structure your program, and so much more. The author has introduced several tricks that are used by experts for debugging and fixing their errors. The book covers the following topics:
    • Debugging and testing
    • Python packaging
    • Basic game and web development
    • Composition and inheritance
    • Organizing, writing code, and program designing
  • Python Crash Course: A Hands-On, Project-Based Introduction to Programming: The book has two halves. The first half will help you learn the basics of Python while the other half will help you implement that knowledge. There are three projects in the book that you can deploy to the internet. The major topics covered by the book include:
    • Integrating robust and powerful libraries like matplotlib, NumPy, etc. to your program.
    • Creating interactive 2D games.
    • Debugging one’s own code.
    • Data visualization

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Frequently Asked Questions on Python Certification Course

Python Certification Course

Python is an object-oriented, interactive programming language which is supple and allows the lucid expression of concepts in fewer lines of code than in other languages. It is widely deployed for processing text, numbers, images or scientific data, and finds popular application in many development environments. Our course will hand hold you through the various fundamentals of Python going from basic to advanced and helping you master the language in a short time. Our experienced instructors will help you understand the fundamentals and give you hands-on training in handling and delivering Python packages. You can get up to speed with the latest best practices in coding with this multi-paradigm programming language that is actively used both in industry and academic circles. Python is among the most in-demand programming languages and Python developers can earn upto $116, 379 annually. This is the best time to learn this language.

You will learn:

  • How to use the Python and its environment
  • How to use Python functions to manipulate data
  • How to use Python modules, regular expressions and object oriented concepts

By the end of this course, you would have gained knowledge on the use of Python programming language to build applications.

There are no restrictions but we recommend having basic programming knowledge.

Yes, KnowledgeHut offers python programming training online.

On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.

Your instructors are Python experts who have years of industry experience. 

Finance Related

Any registration canceled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% reduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of the written request for refund. Kindly go through our Refund Policy for more details.

KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy..

The Remote Experience

In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.

Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor

Have More Questions?

Python Programming Course in New Jersey, NJ

A view at a map of the United States will tell you that New Jersey is one of the smallest states. But did you know that it is the most thickly populated state in the union? A state that was the site of several decisive battles during the American Revolutionary War, New Jersey has come a long way. Today is one of the most progressive, well defined places in terms of high-tech and banking headquarters. A vibrant place, New Jersey is surrounded on the southeast and south by the Atlantic Ocean, it borders on the north and east by New York State, on the west by Pennsylvania, and on the southwest by Delaware. Interestingly, the first organized baseball game was played in Hoboken, NJ in 1846. It has the highest number of horses per square mile than any other state. This amazing city is full of opportunities for those armed with the right credentials. KnowledgeHut helps you with this by offering a range of courses to choose from including-- PRINCE2, PMP, PMI-ACP, CSM, CEH, CSPO, Scrum & Agile, Big Data Analysis, Apache Hadoop, and many more.