Python has emerged as the most favored open-source language for Data Analytics. It is viewed as the next big thing and natural for professionals in the Data Analytics domain to know. Python reduces development time by nearly half with its easy to read syntax and simple compilation function. Debugging programs is a straightforward task in Python with its built-in debugger. Python increases productivity and improves results. For a long time now, the use of Python was restricted to scientific computing and highly quantitative domains such as finance, physics, oil and gas, and signal processing but it is now finding increasing acceptance across all domains and especially in Data Science.
KnowledgeHut’s Advanced Python course features are intended to introduce you to the concepts of Python programming including the installation, data structures, conditional statements, object-oriented programming and using Python to visualize data. You will master the art of writing beautiful and powerful Python code by using all of the features that Python offers and become familiar with the most important and advanced parts of the Python code style. Along the way, you can learn the trickier aspects of Python and put it in a structured context for a deeper understanding of the language. This course offers an experts eye overview of how these advanced tasks fit together in Python as a whole along with practical examples.
Learn to install Anaconda - Python distribution.
Learn basic syntax, variables, and types.
Learn about the various data structures that Python can handle, such as regular Python lists, tuple
Learn about control and loops statements
Learn to write user defined functions and object oriented way of writing classes and objects.
Use functions and import packages. Improve your code readability through functions in Python
Manipulate and analyze dataset in Python and perform interesting calculations
Learn to write Python Code to write JSON documents, HTML documents.
Use various Python libraries to visualize data. Create and customize plots
There are no prerequisites. Python programmers who want to learn the more advanced features of Python will find this course useful.
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Learning Objective:
Learn how to install Python distribution - Anaconda. Also learn basic data types, strings & regular expressions.
Topics Covered:
Hands-on:
Install Anaconda
Learning Objective:
Learn about various data structures that are used in Python.
Topics Covered:
Hands-on:
Write Python Code to understand and implement Python Data Structures.
Learning Objective:
Learn all about loops and control statements in Python.
Topics Covered:
Hands-on:
Write Python Code to implement loop and control structures
Learning Objective:
Write user-defined functions in Python. Learn about Lambda function.
Topics Covered:
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 use User inputs in Python. Use CMD or terminal to create command line applications.
Topics Covered:
Hands-on:
Write Python Code to use User Inputs to make it more flexible.
Learning Objective:
Explore the two mechanisms that facilitate modular programming, Python modules and Python packages.
Topics Covered:
Hands-on:
Write Python Code to define a module and implement module search path.
Learning Objective:
Learn about metaclasses and the use of decorators.
Topics Covered:
Hands-on:
Write a Python code to use decorators in order to transform the execution of a function.
Learning Objective:
Learn the concept of OOPs in Python which focuses on creating reusable code. This concept is also known as DRY (Don't Repeat Yourself).
Topics Covered:
Hands-on:
Write Python code to construct a class and define objects.
Learning Objective:
Learn the object oriented way of writing classes & objects.
Topics Covered:
Hands-on:
Write Python Code to design classes and objects.
Learning Objective:
Learn to choose between inheritance and extension. Also, learn to deal with ordered collection.
Topics Covered:
Hands-on:
Write Python Code to manage singleton and global objects. Define an ordered collection.
Learning Objective:
Learn to read various file formats in Python.
Topics Covered:
Hands-on:
Write Python Code to write JSON documents, HTML documents.
Learning Objective:
Learn to use graphical user interface programming and implement graphical icons and visual indicators. Create eye catching GUI with Python.
Topics Covered:
Hands-on:
Write Python code to use colors/fonts and create a GUI layout.
Learning Objective:
Learn basic data visualization techniques to build charts using Python
Topics Covered:
Hands-on:
Write Python code to perform basic visualization of the data.
Learning Objective:
Case Study to explore Python Programming.
Topics Covered:
Hands-on:
Real-life Case Study that explores Python.
Write Python code to perform basic visualization of the data
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.
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.
Overall, the training session at KnowledgeHut was a great experience. I learnt many things. I especially appreciate the fact that KnowledgeHut offers so many modes of learning and I was able to choose what suited me best. My trainer covered all the topics with live examples. I'm glad that I invested in this training.
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.
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 instructor was very knowledgeable, the course was structured very well. I would like to sincerely thank the customer support team for extending their support at every step. They were always ready to help and smoothed out the whole process.
I would like to extend my appreciation for the support given throughout the training. My trainer was very knowledgeable and I liked his practical way of teaching. The hands-on sessions helped us understand the concepts thoroughly. Thanks to Knowledgehut.
The teaching methods followed by Knowledgehut is really unique. The best thing is that I missed a few of the topics, and even then the trainer took the pain of taking me through those topics in the next session. I really look forward to joining KnowledgeHut soon for another training session.
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 language to build applications.
Tools and Technologies used for this course is Python
There are no restrictions but participants would benefit if they have elementary programming knowledge.
Yes, KnowledgeHut offers this 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 cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: Refund Policy.
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.
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