Top 10 Python Tutorials to Learn in 2020

by June 11, 2020

Python Tutorials

Python ranks top on the Pypl (Popularity of Programming Language) index, with an impressive worldwide share of 31.6% as of June 2020. Python has grown its popularity by almost 20.3% in the last 5 years. It is not only one of the most sought-after programming languages but is best known for its easy readability with great design principles.

Python is apt for data science, machine learning career aspirants. Being a server-side programming language, it is used by global behemoths. The famous websites built using Python include Instagram, Netflix, Uber, Spotify, Reddit, Dropbox, Quora, Facebook to name a few.

Analytics Insights brings you the top 10 python tutorials, divided into five best online python courses, two high rated python books, and three interactive python video channels. This exclusive listing includes a compilation of free and paid courses and training programmes for data science professionals and those who are just fascinated by the language and want to master in 2020-


Top Online Python Resources

Programming for everybody- Getting Started with Python by University of Michigan (Coursera) Format- Online Course


Duration-Approx. 19 hours

Resources- Reading Material, Videos, and Quizzes

USPs- Shareable Certificate, Flexible Deadlines

One of the best online Python certifications, Programming for Everybody- Getting Started with Python has over 2,27,000 enrolments. The specialization introduces you to the fundamental programming concepts build on data structures, databases, and networked application program interfaces. You will use all the technologies you have learned to design your applications for data retrieval, processing, and visualization in the final capstone project. The specialization is divided into five courses, Programming for Everybody (Getting Started with Python), Python Data Structures, Using Python to Access Web Data, Using Databases with Python, and Retrieving, Processing, and Visualizing Data with Python.

The course is delivered by Charles Russell Severance, Clinical Professor at the University of Michigan School of Information. He is the author of several books including Using Google App Engine, and Python for Everybody.


Python Introduction (DataCamp)

Format- Online

Ratings- N.A

Duration- 4 Hours

Resources- 11 Videos, 57 Exercises

USPs- Trusted by learners from top companies

Datacamp is renowned for its extensive programming course offerings. Python Introduction will introduce beginners to the basic concepts of Python in addition to advanced concepts like python lists, functions, and packages. Through this course, DataCamp aims to teach you powerful ways to store and manipulate data to begin conducting your analyses using data science tools. The course is segmented into Python Basics, Python Lists, Functions and Packages, and NumPy.

Hugo Bowne-Anderson will be your instructor throughout this course, promoting data & AI literacy, he hosts and produces DataFramed, the DataCamp podcast.


Python for Data Science and Machine Learning Bootcamp (Udemy)

Format- Online


Duration-25 Hours on-demand Video

Resources – 13 Articles, 5 downloadable resources

USPs- Full lifetime access, Certificate of Completion, Access on mobile and TV

This course addresses both beginners and experts alike and helps you learn Python to analyze data, create visualizations, and build powerful machine learning algorithms. In this course, you will learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, and TensorFlow.

Divided into 165 lectures Python for Data Science and Machine Learning Bootcamp explains the basics of Machine Learning covering Linear Regression, Bias Variance Trade-Off, Logistic Regression KNN with Python, Decision Trees and Random Forests, PCA, NLP, Deep Learning, Big Data, and Spark with Python to name a few.

Jose Marcial Portilla will be your instructor for this course. He is credited with publications and patents in various fields such as materials science, and data science technologies.


Introduction to Python Programming Professional Certificate (Georgia Tech- edx)

Format- Online


Duration- 5 weeks per course, 9 to 10 hours per week

Resources – 4 skill-building courses, access to SmartBook from McGraw Hill education

USPs- Short videos with live programming, multiple-choice questions, and interactive exercises.

Introduction to Python Programming Professional Certificate follows a series of courses from Georgia Tech. You will learn the fundamental design cycle of programming starting with writing code, executing it, interpreting the outcomes, and revising the code based on the outcomes. The course is divided into four segments, Fundamental and Procedural Programming, Control Structures, Data Structures, and Objects & Algorithms.

David Joyner will be your instructor. David is the Senior Research Associate at the College of Computing, Georgia Tech.


The Python Mega Course: Build 10 Real World Applications

Format- Online

Ratings- 4.5/5

Duration- 25 hours on-demand video

Resources- 69 articles, 47 downloadable resources, 70 coding exercises

USPs- Full lifetime access, Certificate of Completion

Python Mega Course rounds up our best online Python courses list. A complete bundle of python knowledge aimed at both beginners and intermediates to help them create 10 real-world Python programs including a web-mapping app, a mood uplifting mobile app, a webcam video app, a geocoding web app, a data visualization app among others. You will learn GUIs (Graphical-User Interfaces), OOP (Object-Oriented Programming) from the 272 lectures segmented over 25 hours on-demand interactive videos.

Ardit Sulce will be your instructor, he is a Python and GIS expert and is accredited to leveraging Python as a data science tool and also as a language to develop both desktop and web applications.


Best Python Books

Python Crash Course: A Hands-On, Project-Based Introduction to Programming

Author- Eric Matthes

Rating-4.3/5 (Goodreads)

Python Crash Course is a fast-paced and highly recommend for pure amateurs in Python. The first section of the book introduces the reader to the various fundamentals of programming (lists, looping, classes, functions, etc) before shifting focus to specific projects in the second half. The try-it-yourself challenges; ensures you understand each point explained in the book.

Eric Matthes writes very clearly with a host of examples to make you understand the concepts. There are practical examples in the second half like basic game development, working with data, and web development.


Introduction to Machine Learning with Python: A Guide for Data Scientists

Author- Andreas C. Müller and Sarah Guido

Rating-4.3/5 (Goodreads)

A great book explaining the most important machine learning topics with sample Python codes. Focused on statistical learning, the authors give an overview of tools/libraries you’ll likely need without deep-diving into the linear algebra and/or any relevant math. The book uses Python, sci-kit-learn, bumpy, classifying, regression, clustering, PCA to make you measure the outcome of an ML model.

Introduction to Machine Learning with Python: A Guide for Data Scientists will walk you through sci-kit-learn and the popular algorithms. Basic knowledge of python programming is needed for a better understanding.


Video Channels to learn Python

CS Dojo

Subscribers on YouTube- 1.37 million

Founded by YK Sugi, CS Dojo makes python coding easy with tutorials curated for beginners, and data science professionals. You will learn how to build a Q&A site, twitter bot, and Python coding for business applications. The extensive video channel enlists coding interview questions, data science career guides, tips to get a data science job, and even how to build a start-up.

CS Dojo is an absolute must for budding data science enthusiasts.


Programming with Mosh

Subscribers on YouTube- 1.09 million

With over 20 years of experience, 9M students taught, and 30 Coding courses Mosh Hamedani teaches you Python programming with the right ratio of information and complexity. Users credit the easy to understand technical examples, and the “you can do this” encouragement Mosh shares over the interactive videos.

You will learn the how’s and whys behind coding, from carefully designed real-world examples & exercises that will truly prepare you for jobs and technical interviews.



Subscribers on YouTube- 899K

Harrison Kinsley brings you Python Programming tutorials which are curated for beginners to the advanced audience on a massive variety of topics. On the Sentdex YouTube channel, you will learn how to code in Python for Data Analysis, Data Visualization, Robotics, Finance & Investing through easy to access playlists.

The popular topics on the channel include Neural network from Scratch, Facial Recognition, Programming Autonomous self-driving cars with Carla, and Python among others.