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.
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Get started on your Python journey by learning to Install Anaconda - Python distribution.
Create your first Python program by learning basic syntax, variables, types and so on...
Learn about data structures that Python can handle. Create, manipulate Python lists, tuples, etc.,
Learn to write complex decision making code by mastering control structures like if, for, while, break and more
Learn to write and import your own Python modules and use them in other directories
Learn all about Regular Expressions; their uses in matching patterns and parsing files and text for information
Learn to write user-defined functions and object-oriented way of writing classes and objects.
Take your Python programming skills to the next level with functions, import packages and improved code readability
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Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.
Our courseware is designed by industry experts who have real-world experience. Get the most advanced knowledge and skills.
Learn theory backed by practical case studies, exercises, and coding practices. Apply skills and knowledge effectively in the real world.
Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Get reviews and feedback on your final projects from professional developers.
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.
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.
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.
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.
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.
Learn about interpreters and Python Script.
Learn how to install Python distribution - Anaconda. Learn basic data types, strings & regular expressions.
Install Anaconda - Python distribution
In this module, you will learn to convert messy text into something useful.
Write Python code to implement string operations.
Learn the various data structures that are used in Python.
Write Python Code to understand and implement Python Data Structures.
Learn all about loops and control statements in Python.
Write Python Code to implement loop and control structures in R.
Write user-defined functions in Python. Learn about Lambda function. Learn the object oriented way of writing classes & objects.
Write Python Code to create your own custom functions without or with arguments. Know how to call them by passing arguments wherever required.
Learn to build modules and install packages.
Write Python Code to create modules and execute them.
Learn about Regular Expression Objects, subexpressions, tips and tricks to implement while you code.
Write Python Code to use Regular Expression and match pattern, parse data and so on.
Gain knowledge on OOPs to code easily and efficiently. Learn to construct classes and define objects."
Write Python code to construct a class and define objects.
Study Use Cases to explore Python
Use cases covering conditional statements, functions, classes, modules, regular expressions.
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:
Here are the top reasons for learning Python today:
If you are a beginner, here is how you can get started with Python:
If you want to learn Python for free, here are 8 tricks to do that:
import <library> or from <library> import <function> keyword.
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:
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.
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.
Here is how you can start learning Python the right way:
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:
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.
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 is one of the most preferred programming languages used by developers. Here are the benefits it offers over other programming languages:
Here are the 5 best resources to learn Python:
If you have no experience in programming and want to learn Python, you need to follow the below-mentioned steps:
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:
A Python developer in New Jersey has an average annual income of $122,348.
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.
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.
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:
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.
|S. NO.||CONFERENCE NAME||DATE||VENUE|
|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|
|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
2. Python Programming 101
3. Python for Web Scraping
4. Python For Data Science
5. Python Programming Bootcamp
|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
3. Python Fundamentals
The average salary for a Python Developer is $1,22,348 in Jersey City, 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:
Here is a list of groups based in New Jersey where you can network with fellow Python developers:
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.
Here are the reasons why one should start learning the Python programming language in New Jersey:
Here is how you can create your first program in Python in 4 steps:
print “Hello world!”
Output: Hello world!
Here are the 2 different ways to run a Python program:
For running a Python script on Windows, you need to follow one of the below mentioned methods:
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:
>> 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:
Python is a multi-paradigm language that is extensively used for the following applications:
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:
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:
Here is how you can download and install Python on Mac OS X in these easy steps:
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:
$ sudo apt-get update
$ sudo apt-get install Python3.6
This will launch the Python 3 interpreter.
Note: You would have to install pip and setuptools that are important third-party Python packages.
Here are the 4 best programming projects for Python beginners:
If you want to structure a Python project, here are 3 good resources to do that:
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.
This machine learning library of Python has several algorithms that are frequently used in data science projects.
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:
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:
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.
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.
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.
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:
If you want to be an expert in Python, you can try one of the following Python books:
Everything from the course structure to the trainer and training venue was excellent. The curriculum was extensive and gave me a full understanding of the topic. This training has been a very good investment for me.
KnowledgeHut is a great platform for beginners as well as experienced professionals who want to get into the data science field. Trainers are well experienced and participants are given detailed ideas and concepts.
The KnowledgeHut course covered all concepts from basic to advanced. My trainer was very knowledgeable and I really liked the way he mapped all concepts to real world situations. The tasks done during the workshops helped me a great deal to add value to my career. I also liked the way the customer support was handled, they helped me throughout the process.
I am glad to have attended KnowledgeHut's training program. Really I should thank my friend for referring me here. I was impressed with the trainer who explained advanced concepts thoroughly and with relevant examples. Everything was well organized. I would definitely refer some of their courses to my peers as well.
The workshop was practical with lots of hands on examples which has given me the confidence to do better in my job. I learned many things in that session with live examples. The study materials are relevant and easy to understand and have been a really good support. I also liked the way the customer support team addressed every issue.
I am really happy with the trainer because the training session went beyond my expectations. Trainer has got in-depth knowledge and excellent communication skills. This training has actually prepared me for my future projects.
Trainer really was helpful and completed the syllabus covering each and every concept with examples on time. Knowledgehut staff was friendly and open to all questions.
The workshop held at KnowledgeHut last week was very interesting. I have never come across such workshops in my career. The course materials were designed very well with all the instructions were precise and comprehenisve. Thanks to KnowledgeHut. Looking forward to more such workshops.
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:
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.
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.
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
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.