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22 Best Free Online Python Courses

Our Favorite Free Online Python Course

Python Data Structures

Python Data Structures

This course is in English. There are subtitles in 10 other languages. You will learn the core data structures of python programming language and advance beyond the basics of procedural programming and see how we utilize python built-in data structures like lists, dictionaries, and tuples to perform complex data analyses. Keep your book in “Python for Everybody” close at hand as this course covers chapters 6 - 10 and covers Python 3. You will learn the principals of data structure and how they are used, you will create programs that can read and write data from files . You will also learn how to store data as key/value pairs using python dictionaries. Finally, you will perform multi-step tasks like sorting or looping tuples. Skills Acquired: Python Syntax and Semantics, Data Structure, Tuple, and Python Programming. Duration: Approx 19 hours over 7 weeks. Rating: 4.9/98%

What are the Top Free Online Python Courses

After much research on all online Python Courses on offer, we have found the top 22 Python  courses to make it easier for you to choose

22 Introduction to Python Programming

Introduction to Python Programming

The course is a beginner course in English. Many take this course because it is a powerful programming language use in a wide range of professions, and ranks very high in the most popular technologies. It is a user friendly language for beginners and using Python you can program almost anything. This course is perfect for students with some experience in programming in another language but are new to Python. The course will teach you the fundamentals of Python and programming best practices. You will represent and store information using Python data types and variables while using conditionals and loops to control your program flow. You will incorporate complexed structures like lists, sets, dictionaries, and tuples to store your data. The learner sill create and document their own custom functions, write scripts, and deal with any errors. Finally, you will find and use modules for your programs in Python library and other libraries. Skills Acquired: Python Programming,Data types, Control Flow, Functions, and Scripting

Duration: Approx 5 weeks, it is self paced.

21 Visualizing Data with Python

Visualizing Data with Python

This course is in English. You will learn to present data using some data visualization libraries in Python, like Matplotlib, Seaborn, and Folium. Also taught is how to use visualization tools like area plots, histograms and bar charts. You will also be shown the use of more specialized visualization tools like pie charts, box plots, scatter plots, and bubble plots. You will then progress to advanced visualization tools including waffle charts, word clouds, Seaborn and regression plots. And finally how to create maps and visualize geoscientific data. The modules include: An introduction to Visualization Tools, Basic Visualization Tools, Specialized Visualization Tools, Advanced Visualization tools and finally creating maps and visualizing geoscientific data using Choropleth maps and Maps with Markers. Skills Acquired: Data Visualization, Matplotlib, Seaborn, and Folium. Duration: Approx 2-4 hours per week for 5 weeks. Rating: 56 977 enrolled

20 Machine Learning with Python: A Practical Introduction

Machine Learning with Python

The course is in English. This course takes you into the essentials of machine learning using Python. You will be taught supervised and unsupervised learning and see how statistical modelling relates to machine learning and differentiate between them. Many Algorithms like classification, Regression. Clustering and Dimensional Reduction will be looked at as well as models like Train/Test split, Root Mean Squared Error and Random Forests. You will also see through actual real examples of machine learning, how society is effected in the most surprising way. You will convert your theory and knowledge into practical skills. Skills Acquired: Machine Learning, Decision Trees, Clustering, Recommender Systems and Regression. Duration: Approx 4-6 hours per week for 5 weeks. Rating: 124 328+ enrolled

19 Probability and Statistics in Data Science using Python

Probability and Statistics in Data Science using Python

This is an advanced course is in English, it requires undergrad level education in multivariate calculus and linear algebra. Thinking rationally about unpredictably is central in the analysis of noisy data. Statistics and probability provide a structure behind such reasoning. I this course you will learn the foundations of statistics and probability and the mathematical theory with hands on experience of applying this theory to data using Jupyter notebooks. Some of the concepts covered include random variables, dependence, correlations, regression, PCA, Entropy and MDL.  

Skills Acquired: Probabilities and Statistics, Jupyter, Regression, PCA, and MDL

Duration: Approx 10-12 hours per week for 10 weeks

Rating: 125 279+ enrolled

18 Analyzing Data with Python

Analyzing Data with Python

This course is in English and you will learn how to analyze data using Python, how to import data sets, clean and prepare the data for analysis, summarizing the data and building a data pipeline. You will also learn how to use Pandas, DataFrames, Numpy arrays, and SciPy libraries to work with different data sets. Also on this course you will be taught to load, manipulate, analyse, and visualize data sets with Pandas and finally build the machine-learning models and make predictions with Scikit-learn which is an open-source library through the use of some of its machine-learning algorithms. There are 5 modules in this course covering: Importing Data Sets, Cleaning and Preparing the Data, Summarizing the Data Frame, Model Development and Model Evaluation. Skills Acquired: Data Analysis, Numpy, DataFrames, Pandas, SciPy, and Scikit-learn. Duration: Approx 2 -4 hours per week for 5 weeks. Rating: 133 117+ enrolled

17 CS50’s Introduction to Programming with Python

CS50’s introduction to Programming with Python

The course is in English. You will be taught the Python Programming Language, how to read and write the code, to test it, and debug it. Whether you have or not any experience in programming is not necessary, you will learn about functions, arguments, variables, and types, conditionals and Boolean expression, and loops. You will learn to use 3rd party libraries, to validate and extract data with regular expressions, model real world scenarios with classes, objects, methods, and properties, and read and write files. You will be given much practice with exercises related to real world programming issues. No specialized programs are needed for this course. Skills Acquired: Conditionals, Variables, Loops, Exceptions, Libraries, Object-orient ted programming. Duration: Approx 3 - 9 hours per week for 10 weeks. Rating: 179 597+ enrolled

16 Computing in Python1: Fundamentals and Procedural Programming

Computing in Python

This is am introductory course in English. In this course you will learn how to write programs and see how computers interpret these lines of code. You will learn to evaluate the results of your program and learn how to amend the code. Further, working with variables and their changing values together with the use of mathematics, Boolean and relational operators is also taught. By the conclusion of the course you will be able to write simple programs to carry out complex maths operations. The course is divided in several sections with instruction given in 2 - 3 minute video formats., between which you will complete some coding issues. There are no prerequisites except basic knowledge of mathematics.

Skills Acquired: Computing, Programming, Debugging, Procedural Programming, Variables. Logical Operators and Mathematical Operators. Duration: Approx 9-10 hours per week for 5 weeks

Rating: 219 271+ enrolled

15 Using Python for Research

Using Python for Research

The course is in English and bridges the gap between introductory courses and advanced courses in Python programming. IN the main, most Python courses do not delve deep enough for you to apply your Python skills to research projects. However, in this course while introducing Python 3 you will learn about common used tools in the research situation. This course includes a new module on statistical learning. You will get to utilize your Python skills with a variety of case studies which have been chosen for their scientific breadth and coverage of different Python features. A pre-requisite for the course is that you have had some previous Python experience in any version. You will learn Python 3 programming and Python tools like NumPy, and SciPy modules for research applications and how to apply Python research tools in practical situations.. Skills Acquired: Python 3, Numpy, SciPy, and Statistical learning. Duration: Approx 2 -4 hours per week for 12 weeks. Rating: 320 196+ enrolled

14 Python Basics for Data Science

Python Basics for Data Science

The course is in English. This introductory course will get you on the right track to learning Python for data science and programming generally, By the time course is completed yo will be writing your own Python scrips and performing data analysis on the IBM Jupyter-based laboratory environment . For those wanting to learn Python fro the very beginning this is the right course for you to begin with. You will create your won data science projects and collaborate without other scientists using the IBM Watson Studio. Through this platform yo will learn the basics of programming, machine learning, and data visualization. Pre-requisite is basic mathematics. Duration: Approx 4 - 10 hours per week for 3 weeks. Rating: 526 634+ enrolled.

13 Introduction to Data Science in Python

Intro to data science in python

This is an intermediate course in English and has subtitles in 10 other languages. You will be introduced to the basics of Python programming including techniques such as lambdas, reading and manipulating CSV files, and the Numpy library. You will learn data manipulation and techniques using Pandas data science library and be introduced to the Series and DataFrame as data structures for data analysis. There are also tutorials on using functions like groupby, merge, and pivot tables. Finally you will manipulate and clean tabular data and run basic inferential statistical analyse. Skills Acquired: Python Programming, Numpy, Pandas, and Data Cleansing. Duration: Approx 31 hours over 4 weeks

Rating: 4.5/92%

12 Python for Data Science, AI & Development

Python for data science, AI & development

This course is in English and has subtitles in 2 other languages. In this course you will learn Python on for data science and programming in general with this introduction to Python. No previous programming experience is required and you will learn the fundamentals of Python programming including data structure and analysis through exercises throughout the modules and create a project demonstrating your skills. By the conclusion of this course you will be creating basic programs working with data and solving problems, further you will be gaining a strong foundation for more advanced learning in the field. You will work with data in Python using Pandas and Numpy libraries. 

Skills Acquired: Data Science, Python Programming, Data Analysis, Panda, and Numpy. Duration: Approx 21 hours over 4 weeks. Rating: 4.6/92%

11 Python Data Visualization

Python data visualization

This course is in English and has subtitles in 9 other languages. In this course you will be taught how to install external packages to use within your Python program, to acquire data from various sources on the web, and how to clean, process, analysis, visualize the data. It will combine all the skills you have learnt so far to write interesting and usable programs. By the conclusion of the courses you will be comfortable installing Python packages and creating visualizations of your analyzed data. It will conclude your training as a scripter so you can locate, install and use Python packages written by other people and also to effectively utilize tools and packages which are widely available to enhance your effectiveness. Skills Acquired: Python 3, Writing documentation, Packages and Modules, Sets and Visualization. Duration: Approx 9 hours over 4 weeks. Rating: 4.7

10 Learn to Program: The Fundamentals

Learn to Program: The Fundamentals

The course is a beginner level in English and has subtitles in 11 different languages. Behind every action you do on a computer, there is a program that makes things happen. This course will take you through the elementary building blocks of programming and teaches you to write interesting programs using Python language. The syllabus covers Python, Variables and Functions in week 1, Strings and Designing functions in week 2, in week 3 you will look at Booleans, Import, Name spaces, and if Statements. Week 4 will go into Loops, and Fancy String Manipulation. In week 5 you will look at While Loops, Lists, and Mutability. And finally week 6 and 7you will look at Loops over Indices, Parallel, and Nested Lists and Strings and Files, Tuples and Dictionaries.  The instruction medium is via video and readings. Skills Acquired: Python Syntax and Semantics, Computer Programming, Python Programming, and Idol (Python). Duration: Approx 25 hours over 7 weeks. Rating: 4.7/94%

09 Python Data Analysis

Python Data Analysis

This course is a beginners level course in English and has subtitles in 8 other languages. In this course you will learn about reading, storing, and processing tabular data which are basic tasks. You will also learn about CSV files and python ability to read and write them. These concepts and skills will extend your programming knowledge thus allowing you to process more complex data. By the end of this course you will be capable of working with tabular data in Python so you can write a wider range of scripts. This course uses Python 3 and uses desktop Python development environments so you can run the programs on your computer. Skills Acquired: Python , Dictionaries, Tabular data, Nested data, and CSV data. Duration: Approx 9 hours over 4 weeks. Rating: 4.7/95%

08 Python Data Representations

Python data representations

This course is in English with surtitles in 8 other languages. You will be learning about the array of data representations including stings, list and tuples which form the basis of all Python programs. You will be taught how to access files so you store and retrieve data within your programs. This will help you manipulate data and you will be able to write more complex programs. By the conclusion of the course your Python programs will be able to manipulate data stored in files thus expanding your programming expertise and enabling you to write wider range of Python scripts. You will be using Python 3 and this course introduces best top python development environments so that you can run python programs directly on your laptop or computer. Skills Acquired: Tuple, Python Programming, Debugging, and List & Label. Duration: Approx 9 hours over 4 weeks. Rating: 4.7/96%

07 Crash Course on Python

Crash Course on Python

This course is in English and has subtitles in 9 other languages. This course will each you the foundations in Python to write simple programs using the most common structures. You will require no prior experience in programming. By the end of the course you will be able to write simple programs, see how the building blocks of programming work together and combine this knowledge to solve a complex programming problem. The course begins by delving into the basics of writing a computer program during which you will get experience with programming concepts through exercises and examples. You will begin to understand how computers form many tasks as a result of the code that you have written them what to do. Skills Acquired: Basic Python Data Structure, Fundamental Programming Concepts, Basic Python Syntax, Python Programming and Object-Oriented Programming (OOP). Duration: Approx 28 hours over 6 weeks. Rating: 4.8/96%

06 Python Programming Essentials

Python programming essentials

This course is a beginner course in English and has subtitles in 10 other languages. In this course you will learn the essentials of programming and construction of basic Python programs. You will cover experiences, variables, functions, logic and conditionals which are foundations in computer programming. You will also be taught the use of python modules so you can benefit from the functionality that is already a part of the language. This will assist you to think like a programmer and understand how to go about writing programs in Python. On completion of the course you will be able to write Python programs which will accomplish real practical tasks. The course uses Python 3 which is the future of python programming language and the course uses a Python 3 version of the CodeSkulptor environment which is designed to help learners achieve their goals faster. You are not required to install any software which allows you to start writing and running programs immediately. 

Skills Acquired: CodeSkulptor, Python Syntax and Semantics, Python Programming, and Debugging. Duration: Approx 10 hours over 4 weeks. Rating: 4.8/96%

05 Google IT Automation with Python Professional Certificate

Google IT Automation

The course is in English and has subtitles in 13 different languages. The course is designed to give IT professionals in-demand skills like Python Git, and IT Automation. Knowledge on writing problem solving code and automation solutions is crucial for anyone in IT and Python is the most sought after skill needed by employers. This course is designed around programming with Python and using Python to automate common system administration tasks. Further you will learn to use Git and GitHub, how to troubleshoot and debug complex problems and apply automation using configuration management and the Cloud. Google recommend that you have Python installed and where possible, an installation of Git. You will practice your technical skills with projects including capstone project where you will use your new found knowledge to solve a real IT problem. Skills Acquired: Using Version Control, Troubleshooting and Debugging, Python Programming, Configuration Management, Automation, Basic Python Data Structures, Fundamental Programming Concepts, Basic Python Syntax, Object-oriented Programming, Setting up your development environment, Regular expression and Testing in Python. Duration: Approx 10 hours per week over 6 months covering 6 courses. Rating: 4.8

04 Using Databases with Python

Using Database with Python

The course is in English with subtitles in 9 languages. You will learn the basics of structured Query Language (SQL) and basic Database Design for storing data as part of a stepped gathering of data, analysis and processing. You will be using SQLite 3 as your database. You will also learn how to build web crawlers, muti-step data gathering, and visualization activity. You will use D3.js library to perform your data visualization. Chapter 14 and 15 of “Python for Everybody” is covered in this course. This course also covers Python 3. By the end of the course you will be able to use the create, read, delete, and update operations in managing your database and also explain the elements of object orientated Python. You will also come to see how data is stored across a few tables in a database, and you will use the Google maps API for data visualization. Skills Acquired: Python Programming, Database (DBMS), Sqlite, and SQL. Duration: Approx 15 hours over 5 weeks. Rating: 4.8/97%

03 Using Python to Access Web Data

Using Python to access the web

This course is in English and has subtitles in 9 other languages. This course will teach you how to treat the internet as a source of data. You will scrape, parse, and read web data and access data using web API’s. You will work with data formats like HTML, XML, and Json. In your text book “Python for Everybody” this section is covered chapters 11 - 13. To succeed you should be familiar with the material covered in chapters 1 - 10. The topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, data structures like stings, lists, dictionaries and tuples), and manipulating files. You will learn to use regular expressions to extract data, understand the protocols, web browsers used to retrieve documents and web apps as well as retrieve data from websites and work with XML data. Skills Acquired: Json, Xml, Python Programming, and Web Scraping. Duration: Approx 19 hours over 6 weeks. Rating: 4.8/98%

02 Programming for Everybody (Getting Started with Python)

Programming for everybody (getting started with python)

This course is in English and has subtitles in 11 other languages. This course teaches the basics of programming computers using Python. How to construct a a program from a series of simply instructions are the basics we cover in this python course. There are no pre-requisites necessary, and anyone who is computer literate should be able to master this course. You should get a copy of “Python for Everybody” as this course covers chapter 1 - 5. This course covers Python 3. You will learn about installing Python and writing your first program. You will come to understand the use of variables to store, retrieve, and calculate information as well as the use of functions and loops as programming tools. Skills Acquired: Python Syntax and Semantics, Basic Programming Language, Computer Programming, and Python Programming. Duration: Approx 19 hours over 7 weeks. Rating: 4.8/98%

01 Python Data

Python Data Structures

This course is in English. There are subtitles in 10 other languages. You will learn the core data structures of python programming language and advance beyond the basics of procedural programming and see how we utilize python built-in data structures like lists, dictionaries, and tuples to perform complex data analyses. Keep your book in “Python for Everybody” close at hand as this course covers chapters 6 - 10 and covers Python 3. You will learn the principals of data structure and how they are used, you will create programs that can read and write data from files . You will also learn how to store data as key/value pairs using python dictionaries. Finally, you will perform multi-step tasks like sorting or looping tuples. Skills Acquired: Python Syntax and Semantics, Data Structure, Tuple, and Python Programming. Duration: Approx 19 hours over 7 weeks. Rating: 4.9/98%

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