Top 10 Online Courses to Learn Python in a Month in 2022

Top 10 Online Courses to Learn Python in a Month in 2022
Published on

Online courses to learn Python are creating a plethora of opportunities for aspiring coders

Python is one of the top trending programming languages of recent times among tech companies and the community of programmers. Aspiring programmers or data scientists need to have a good understanding of Python before applying for job vacancies. There are multiple online courses on Python to learn in a month from professional websites such as Coursera, edX, LinkedIn, and many more. Python online courses are offering the fundamentals as well as an overview of the programming language within a short period of time. Thus, by learning Python, one can code and create applications without any error in the future. Let's explore some of the top ten online courses to learn Python in 2022 within a month. 

Top Ten Online Courses to Learn Python in 2022 

Python for Beginners: Learn Python Programming (Python 3) at udemy

Duration: 2 hours 52 mins

The online course on Python at udemy offers to learn the programming language efficiently with examples, quizzes, exercises, and many more. There are 12 sections with 78 lectures including the Python setup, strings and variables, booleans and conditionals, functions, tuples, files, and so on. 

Click here for more details

2022 Complete Python Bootcamp from Zero to Hero in Python at udemy

Duration: 22 hours 13 mins

udemy offers the Python online course as a professional start from the introduction to the creation of applications and games at an advanced level. The online course to learn Python covers the advanced features of this trending programming language and provides a deep understanding of how to create GUIs in the Jupyter Notebook systems with 23 sections and 155 lectures. Aspiring programmers can create games such as blackjack or tic tac toe with the help of libraries. 

Click here for more details

Learn Python Programming Masterclass at udemy 

Duration: 65 hours 9 mins

Aspiring coders can take up this Python online course to gain a fundamental understanding of the trending programming language and how to create their own Python programs efficiently without any error. Learning Python at udemy provides 21 sections with 472 lectures including the introduction, install and setup, lists and tuples, functions, and program flow control in this programming language. 

Click here for more details

Python for Everybody Specialization at Coursera

Duration: 1 month 

The online course to learn Python teaches to develop programmes to gather, clean, analyze, and visualize data efficiently. It is offered by the University of Michigan to provide an understanding of installing Python, writing the first programme, and basics including variables to store and retrieve information with functions and loops. There are five courses in specialization including programming for everybody, Python data structures, using Python to access web data, using databases with Python, and many more. 

Click here for more details

Crash Course on Python at Coursera 

Duration: 31 hours 

This Python online course is a part of the Google IT Automation with Python Professional Certificate programme. The online course to learn Python is designed to know the foundations to write simple programmes in Python with the most common structures. Aspiring techies can have an understanding of the benefits of programming in IT roles and also how the building blocks of programming fit together efficiently. This online course on Python can help to write short Python scripts to perform automated actions and create Python objects. 

Click here for more details 

Python for Data Science, AI & Development at Coursera

Duration: 19 hours

The online course on Python at Coursera covers the fundamentals including data structures, data analysis, hands-on exercises, and a final project to demonstrate newly-learned programming language skills. The Python online course explains the types, expressions, variables, data structures, Pandas, branching, loops, functions, and many more with the help of IBM. 

Click here for more details 

Using Python for Research at Harvard Online 

Duration: 5 weeks

The Python online course bridges the gap between the introductory and advanced courses in Python with the in-depth exploration and the coverage of different multiple Python features. The online course to learn Python covers the basics, research tools, case studies, statistical learning, and how to apply Python research tools in practical settings. 

Click here for more details

Programming for Everybody (Getting Started with Python) at edX

Duration: 1 month

edX offers the Python online course to offer in-depth knowledge of variables, conditional execution, repeated execution, functions, and many more. The course curriculum includes the definition of program, variables in programs, conditional execution, repeated execution, codes, and many more. 

Click here for more details

Computing in Python I: Fundamentals and Procedural Programming at edX

The online course to learn Python at edX covers the fundamentals of computing in Python including variables, operators, writing, and debugging own programmes efficiently without any error. Aspiring programmers can write programmes, evaluate output, revise code, and many more like how to use mathematical, boolean, and relational operators.  There are a total of seven chapters in this Python online course. 

Click here for more details

Learn Python 2 at codecademy

Duration: 25 hours

The online course on Python provides an introduction to both fundamental programming concepts as well as this trending programming language. The online course covers Python syntax, strings, and console output, conditionals and control flow, functions, lists,  loops, as well as some advanced topics for a greater understanding. 

Click here for more details

Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

                                                                                                       _____________                                             

Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.

Related Stories

No stories found.
logo
Analytics Insight
www.analyticsinsight.net