Best Free Python Courses

In the fast few years, the demand for python increased exponentially, due to its lightweight nature, ease of learning & tremendous power of functionality. Many MOOs are Free Python Courses to students due to the current situation, and it is worth learning python in this free time.

As companies dealing with IT systems & Data are heavily dependent on python. Python is also an in-demand skill for 2020! 

Even if you are a beginner in development, learning python can be beneficial for you in the long-run, it will enable you to learn the concepts of programming quickly, and get a grip over other technologies.

In this article, we have listed the Best Free Python Courses, so that you can learn for free! 

Note: Read the complete article, so that you find the right course for yourself. You may require a student account with Coursera to access some of these free courses!

Free Python Course #1: [Specialization] Python For Everybody

Michigan

By far, one of the most popular, python courses to learn. With over 6,50,000+ enrolled students, this course is mainly aimed at beginners. The course is a specialization course, meaning it will an in-depth course and will help you specialize python. The course will help you build on the fundamental concepts of programming, which includes data structures, networking, and databases using python.

The specialization course is designed as such to give you an overall working experience of python, with quizzes and projects! After this course, you will be able to utilize python to develop your applications for data retrieval, processing, and visualization.

Duration: 4-5 Months Approx

Skills You Will Learn :

  • Python Programming
  • JSON,XML,SQL
  • Data Structures & Database Management
  • Functionalities of Python

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Free Python Course #2: Google IT Automation Python

Google

Yet, another Google course free! This is a beginner course introduced by Google especially for IT engineers, for automation using python.

Did You Know: Top 5 Free Certification by Google!

The course is a six-level specialized course developed by Google especially for beginners, to empower IT professionals with in-demand skills such as Git, Python & IT-automation. The course will enable professionals to give a boost to their careers.

You will also learn about Github and troubleshooting complex problems remotely, and apply automation at scale by using Google Cloud.




Duration: 6-8 Months

Skills You Will Learn :

  • Python Programming
  • Automation
  • Object-Oriented Programming
  • Fundamental Programming
  • Data Structures
  • Trouble Shooting & Debugging
  • REGEX and Testing
  • Using Version Control
  • Configuration Management

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Free Python Course #3: Data Science in Python

University of Michigan

This course is offered as an introduction to Data Science using Python, By the University of Michigan. Mainly aimed at beginners who want to work in the field of Data Science, the course is a comprehensive collection of various python programming mixed with data science basics. 

The course includes data manipulation & cleaning techniques using python pandas data science libraries. By the end of the course, the students will be able to handle, manipulate, and clean basic statistical data analysis.

This course is an introductory course for data science, after learning it, you can proceed with intermediate & advanced courses on Data Science by the University of Michigan. 

Duration: 14-16 Hours

Skills You Will Learn :

  • Python Programming
  • Numpy
  • Pandas Library
  • Data cleansing
  • Data Handling using Python

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Free Python Course #4: Machine Learning with Python [IBM]

IBM

This course is offered by IBM, and dives into the basics of machine learning using python. This course is also one of the most in-demand courses, as, after completion of the course, you not only earn the certificate, but you earn an IBM digital badge, which you can put in your resume. 

The course is divided into mainly two components: 

1st Component: Deals with the basics of Machine learning & its application.

2nd Component: General overview of Machine learning topics such as model evaluation, machine learning algorithms & supervised vs nonsupervised learnings.

The course also includes hands-on project exercise, after successful completion of the course, you can also use these projects in your portfolio, which includes predicting economic trends, recommendation engines,  predicting customer churn, & many more.

Duration: 15-20 Hours

Skills You Will Learn :

  • Python Programming for Machine Learning
  • ML using Python
  • ML algorithms
  • ML Models
  • Predictive Analysis using ML

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