Best Python programming online courses with certification Free & paid


1. Programming for Everybody (Getting Started with Python) (Coursera)

2. Using Databases with Python (Coursera)

3. Crash Course on Python (Coursera)

4. Google IT Automation with Python (Coursera)

5. Hire Python tutor from Fiverr (Fiverr Learn) - you can Hire Python tutor from $5

6. Databases and SQL for Data Science with Python (Coursera)

7. Capstone: Retrieving, Processing, and Visualizing Data with Python (Coursera)

8. Applied Machine Learning in Python (Coursera)

9. Using Python to Interact with the Operating System (Coursera)

10. Automating Real-World Tasks with Python (Coursera)

11. Applied Social Network Analysis in Python (Coursera)

12. Understanding and Visualizing Data with Python (Coursera)

13. Advanced Portfolio Construction and Analysis with Python (Coursera)

14. Free Python online courses (Alison) - Free

15. Free Online Diploma in Python Certification Course (Alison) - Free

16. Applied Plotting, Charting & Data Representation in Python (Coursera)

17. Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript (Coursera)

18. Python and Statistics for Financial Analysis (Coursera)

19. Inferential Statistical Analysis with Python (Coursera)

20. Investment Management with Python and Machine Learning (Coursera)

21. Machine Learning for Accounting with Python (Coursera)

22. Master Python Basics and Understand How to Code (BitDegree)

23. Shop Our Best Selling Python Fundamentals Course (BitDegree)

24. Python Data Science (edX)

25. Introduction to Python Programming (edX)

26. Machine Learning with Python: A Practical Introduction (edX)

27. Probability and Statistics in Data Science using Python (edX)

28. Data Science: Computational Thinking with Python (edX)

29. Building Modern Python Applications on AWS (edX)

30. Python for AI & Development Project (edX)

31. Python for Data Engineering Project (edX)

32. Python for Data Science Project (edX)

33. A Modern learning experience for data science and analytics (Datacamp)

34. Python Certification Training (Edureka)

35. Python Django training and Certification (Edureka)

36. Machine Learning Using Python (Edureka)

37. Python Spark Certification Training using PySpark (Edureka)


1. Programming for Everybody (Getting Started with Python) (Coursera)

This course aims to teach everyone the basics of programming computers using Python. It cover's the basics of how one constructs a program from a series of simple instructions in Python.

The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course.

What you will learn:

+ Install Python and write your first program.

+ Use variables to store, retrieve and calculate information.

+ Describe the basics of the Python programming language.

+ Utilize core programming tools such as functions and loops.

* Rating: 4.8 out of 5 (185,549 ratings)

* Already enrolled: 2,146,082

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2. Using Databases with Python (Coursera)

This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort.

The course will use SQLite3 as its database. will also build web crawlers and multi-step data gathering and visualization processes.

What you will learn:

+ Use the Create, Read, Update, and Delete operations to manage databases.

+ Understand how data is stored across multiple tables in a database.

+ Explain the basics of Object Oriented Python.

+ Utilize the Google Maps API to visualize data.

* Rating: 4.8 out of 5 (19417 ratings)

* Already enrolled: 367009

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3. Crash Course on Python (Coursera)

This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed.

By the end of this course, you'll understand the benefits of programming in IT roles; be able to write simple programs using Python; figure out how the building blocks of programming fit together; and combine all of this knowledge to solve a complex programming problem.

What you will learn:

+ Understand what Python is and why Python is relevant to automation.

+ Understand how to use the basic Python structures: strings, lists, and dictionaries.

+ Write short Python scripts to perform automated actions.

+ Create your own Python objects.

* Rating: 4.8 out of 5 (16587 ratings)

* Already enrolled: 325698

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4. Google IT Automation with Python (Coursera)

This beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.

This program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.

What you will learn:

+ Automate tasks by writing Python scripts.

+ Manage IT resources at scale, both for physical machines and virtual machines in the cloud.

+ Use Git and GitHub for version control.

+ Analyze real-world IT problems and implement the appropriate strategies to solve those problems.

* Rating: 4.8 out of 5 (16618 ratings)

* Already enrolled: 225751

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5. Hire Python tutor from Fiverr (Fiverr)

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What you will learn:

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6. Databases and SQL for Data Science with Python (Coursera)

The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment.

The emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python.

No prior knowledge of databases, SQL, Python, or programming is required.Best Python programming online courses with certification Free & paid.

What you will learn:

+ Create and access a database instance on cloud.

+ Filter, sort, group results, use built-in functions, access multiple tables.

+ Write basic SQL statements: CREATE, DROP, SELECT, INSERT, UPDATE, DELETE.

+ Access databases from Jupyter using Python and work with real world datasets.

* Rating: 4.7 out of 5 (13068 ratings)

* Already enrolled: 182215

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7. Capstone: Retrieving, Processing, and Visualizing Data with Python (Coursera)

In the capstone, students will build a series of applications to retrieve, process and visualize data using Python.

The projects will involve all the elements of the specialization. In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find.

What you will learn:

+ Make use of unicode characters and strings.

+ Select and process the data of your choice.

+ Understand the basics of building a search engine.

+ Create email data visualizations.

* Rating: 4.7 out of 5 (11283 ratings)

* Already enrolled: 189957

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8. Applied Machine Learning in Python (Coursera)

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled.

Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e.g. cross validation, overfitting).

What you will learn:

+ Describe how machine learning is different than descriptive statistics.

+ Explain different approaches for creating predictive models.

+ Create and evaluate data clusters.

+ Build features that meet analysis needs.

* Rating: 4.6 out of 5 (7247 ratings)

* Already enrolled: 230132

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9. Using Python to Interact with the Operating System (Coursera)

By the end of this course, you’ll be able to manipulate files and processes on your computer’s operating system. You’ll also have learned about regular expressions -- a very powerful tool for processing text files -- and you’ll get practice using the Linux command line on a virtual machine. And, this might feel like a stretch right now, but you’ll also write a program that processes a bunch of errors in an actual log file and then generates a summary file. That’s a super useful skill for IT Specialists to know.

What you will learn:

+ Setup, configure, and use your own developer environment in Python.

+ Understand and use regular expressions (regex), a powerful tool for processing text files.

+ Manipulate files and processes running on the Operating System using Python.

+ Know when to choose Bash or Python, and create small scripts using Bash.

* Rating: 4.7 out of 5 (3479 ratings)

* Already enrolled: 91345

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10. Automating Real-World Tasks with Python (Coursera)

In the final course, it would tie together the concepts that you’ve learned up until now. You'll tackle real-world scenarios in Qwiklabs that will challenge you to use multiple skills at once.

What you will learn:

+ Use Python external libraries to create and modify documents, images, and messages.

+ Understand and use data serialization to send messages between running programs.

+ Understand and use Application Programming Interfaces (APIs) to interact with web services.

+ Build a solution using the skills you have learned.

* Rating: 4.8 out of 5 (1415 ratings)

* Already enrolled: 36640

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11. Applied Social Network Analysis in Python (Coursera)

This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem.

What you will learn:

+ Represent and manipulate networked data using the NetworkX library.

+ Measure the importance or centrality of a node in a network.

+ Analyze the connectivity of a network.

+ Predict the evolution of networks over time.

* Rating: 4.7 out of 5 (2407 ratings)

* Already enrolled: 77183

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12. Understanding and Visualizing Data with Python (Coursera)

In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling.

What you will learn:

+ Properly identify various data types and understand the different uses for each.

+ Communicate statistical ideas clearly and concisely to a broad audience.

+ Create data visualizations and numerical summaries with Python.

+ Identify appropriate analytic techniques for probability and non-probability samples.

* Rating: 4.7 out of 5 (1891 ratings)

* Already enrolled: 81185

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13. Advanced Portfolio Construction and Analysis with Python (Coursera)

The practice of investment management has been transformed in recent years by computational methods. Instead of merely explaining the science, help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming language. In this course, cover the estimation, of risk and return parameters for meaningful portfolio decisions, and also introduce a variety of state-of-the-art portfolio construction techniques that have proven popular in investment management and portfolio construction due to their enhanced robustness.

What you will learn:

+ Analyze style and factor exposures of portfolios.

+ Implement Black-Litterman portfolio construction analysis.

+ Implement robust estimates for the covariance matrix.

+ Implement a variety of robust portfolio construction models.

* Rating: 4.8 out of 5 (360 ratings)

* Already enrolled: 12462

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14. Free Python online courses (Alison)

This free online course in programming in Python will teach you the concepts of programming using the Python language. You will learn about creating variables and storing different types of data in them, working with dates and time, and making decisions with your code and using loops. This course will also teach you how to save and read files with your program, create functions and handling errors with your code, and more!.


15. Free Online Diploma in Python Certification Course (Alison)

This free Online Diploma in Python Certification Course in Python will teach you the concepts of programming using the Python language. You will learn about creating variables and storing different types of data in them, working with dates and time, and making decisions with your code and using loops. This course will also teach you how to save and read files with your program, create functions and handling errors with your code, and more!.


16. Applied Plotting, Charting & Data Representation in Python (Coursera)

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations.

What you will learn:

+ Describe what makes a good or bad visualization.

+ Identify the functions that are best for particular problems.

+ Understand best practices for creating basic charts.

+ Create a visualization using matplotlb.

* Rating: 4.5 out of 5 (5638 ratings)

* Already enrolled: 147216

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17. Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript (Coursera)

As our world is increasingly impacted by the use of algorithms, designers must learn how to use and create design computing programs. Designers must go beyond the narrowly focused use of computers in the automation of simple drafting/modeling tasks and instead explore the extraordinary potential digitalization holds for design culture/practice.

What you will learn:

+ Apply Python fundamentals including: module importing, conditionals, iteration, operators, functions, comments, booleans, tuples, and dictionariesApply Python fundamentals including: module importing, conditionals, iteration, operators, functions, comments, booleans, tuples, and dictionaries.

+ Produce code that produces variable geometric form (in 2D and 3D) in still image and animated formats.

* Rating: 5 out of 5 (26 ratings)

* Already enrolled: 4258

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18. Python and Statistics for Financial Analysis (Coursera)

In this course, you will learn Python and Statistics for Financial Analysis. Best Python programming online courses with certification.

What you will learn:

+ Import, pre-process, save and visualize financial data into pandas Dataframe.

+ Manipulate the existing financial data by generating new variables using multiple columns.

+ Build a trading model using multiple linear regression model.

* Rating: 4.4 out of 5 (2422 ratings)

* Already enrolled: 87326

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19. Inferential Statistical Analysis with Python (Coursera)

In this course, will explore basic principles behind using data for estimation and for assessing theories. will analyze both categorical data and quantitative data, starting with one population techniques and expanding to handle comparisons of two populations. will learn how to construct confidence intervals.

What you will learn:

+ Determine assumptions needed to calculate confidence intervals for their respective population parameters.

+ Create confidence intervals in Python and interpret the results.

+ Run hypothesis tests in Python and interpret the results.

* Rating: 4.6 out of 5 (678 ratings)

* Already enrolled: 26642

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20. Investment Management with Python and Machine Learning (Coursera)

The Data Science and Machine Learning for Asset Management Specialization has been designed to deliver a broad and comprehensive introduction to modern methods in Investment Management, with a particular emphasis on the use of data science and machine learning techniques to improve investment decisions.By the end of this specialization, you will have acquired the tools required for making sound investment decisions, with an emphasis not only on the foundational theory and underlying concepts, but also on practical applications and implementation. Instead of merely explaining the science, help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming language through a series of dedicated lab sessions.

What you will learn:

+ Write custom Python code and use existing Python libraries to build and analyse efficient portfolio strategies.

+ Learn the principles of supervised and unsupervised machine learning techniques to financial data sets.

+ Write custom Python code and use existing Python libraries to estimate risk and return parameters, and build better diversified portfolios.

* Rating: 4.5 out of 5 (1083 ratings)

* Already enrolled: 20490

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21. Machine Learning for Accounting with Python (Coursera)

This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems.

What you will learn:

+ The concept of various machine learning algorithms.

+ How to evaluate machine learning models.

+ How to apply machine learning models on datasets with Python in Jupyter Notebook.

* Rating: 4.6 out of 5 (23 ratings)

* Already enrolled: 5629

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22. Master Python Basics and Understand How to Code (BitDegree)

This Python basics course is pointed towards beginners to teach the fundamentals of this language, although some knowledge can be helpful for data scientists, IT people, and programmers as well. Although Python for beginners won't teach you all the possible functionality and possibilities of this language, it can be a perfect start to begin your career in the IT section!.

What you will learn:

+ How to Code With Python.

+ How to Power Up Programs.

+ Where Can You Use Python.

* Rating: 4.3 out of 5 (224 ratings)

* Already enrolled: 15053

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23. Shop Our Best Selling Python Fundamentals Course (BitDegree)

This interactive Python tutorial is the best place to learn Python for absolute beginners – and here are the reasons why!.

What you will learn:

+ What Python fundamentals are and how to use them.

+ What functions, loops, and statements are.

+ How to create a dictionary in Python.

* Rating: 4.4 out of 5 (521 ratings)

* Already enrolled: 16882

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24. Python Data Science (edX)

The shortage of skills in Data Science is a wonderful opportunity for anyone looking to enter a hot area of the job market. When hire data scientists highly value hands-on practical skills, especially with Python. This five course program is a great way to upgrade your skill set with an applied focus on Data Science and Machine Learning.

What you will learn:

+ Understand Python language basics and how they apply to data science.

+ Practice iterative data science using Jupyter notebooks on IBM Cloud.

+ Analyze data using Python libraries like pandas and numpy.

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25. Introduction to Python Programming (edX)

Python certificate program shows how an online class can deliver a truly superior instructional experience. With hundreds of authentic practice problems, immediate evaluation, and constant feedback, it is one of the best possible ways for new students to start to learn computer science and Python programming.

What you will learn:

+ Usage of the fundamental atoms of programming: variables, mathematical operators, logical operators, and boolean arithmetic.

+ Control structures for developing dynamic programs, including Python libraries: conditionals, loops, functions, and error handling.

+ The core data structures for creating useful programs: strings, lists, dictionaries, and file manipulation.

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26. Machine Learning with Python: A Practical Introduction (edX)

This Machine Learning with Python course dives into the basics of machine learning using Python, an approachable and well-known programming language. You'll learn about supervised vs. unsupervised learning, look into how statistical modeling relates to machine learning, and do a comparison of each.

What you will learn:

+ The difference between the two main types of machine learning methods: supervised and unsupervised.

+ Supervised learning algorithms, including classification and regression.

+ Unsupervised learning algorithms, including Clustering and Dimensionality Reduction.

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27. Probability and Statistics in Data Science using Python (edX)

In this course, part of the Data Science MicroMasters program, you will learn the foundations of probability and statistics. You will learn both the mathematical theory, and get a hands-on experience of applying this theory to actual data using Jupyter notebooks.

Concepts covered included: random variables, dependence, correlation, regression, PCA, entropy and MDL.

What you will learn:

+ The mathematical foundations for machine learning Statistics literacy: understand the meaning of statements such as "at a 99% confidence level.

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28. Data Science: Computational Thinking with Python (edX)

This course emphasizes learning through doing: you will work on large real-world data sets through interactive assignments to apply the skills you learn. Throughout, the underlying thread is that data science is a way of thinking, not just an assortment of methods. You will also hone your interpretation and communication skills, which are essential skills for data scientists.

What you will learn:

+ Basics of the Python programming language, and how to use it as a tool for data analysis.

+ Tools widely used by industry and academic data scientists, such as Jupyter Notebooks.

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29. Building Modern Python Applications on AWS (edX)

In this class, explore how to build an API driven application using Amazon API Gateway for serverless API hosting, AWS Lambda for serverless compute, and Amazon Cognito for serverless authentication. will follow an API driven development process and first mock up what the API will look like. will cover all the ins and outs of the service Amazon API Gateway, and as you’ll learn- it does a lot more than just hosting an API.

What you will learn:

+ How to build a modern, greenfield serverless backend on AWS.

+ How to build an API driven application using Amazon API Gateway for serverless API hosting.

+ How to build an API driven application using AWS Lambda for serverless compute.

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30. Python for AI & Development Project (edX)

This course is designed for the learner to apply prior Python knowledge. It is not intended to teach you Python and includes minimal instructional content.

What you will learn:

+ Demonstrate Python basic skills for developing AI powered Applications.

+ Describe the purpose of unit testing and packaging.

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31. Python for Data Engineering Project (edX)

The Python Basics for Data Science course from IBM is a pre-requisite for this project course. Before taking this course, please ensure that you have either completed the Python Basics for Data Science from IBM or have equivalent proficiency in working with Python and data.

What you will learn:

+ Webscraping and data extraction using APIs Transforming data into specific data types.

+ Working with Jupyter notebooks and IBM Watson Studio.

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32. Python for Data Science Project (edX)

This mini-course is intended for you to demonstrate foundational Python skills for working with data. The completion of this course involves working on a hands-on project where you will develop a simple dashboard using Python.

What you will learn:

+ Demonstrate your skills for working with Python and Data.

+ Create a dashboard that shows key performance indicators from a specific data set.

Click here to sign up


33. A Modern learning experience for data science and analytics (Datacamp)

The Data Science is a wonderful opportunity for anyone looking to enter a hot area of the job market. When hire data scientists highly value hands-on practical skills, especially with Python. This five course program is a great way to upgrade your skill set with an applied focus on Data Science and Machine Learning.


34. Python Certification Training (Edureka)

Python training by Edureka is curated by industry professionals as per the industry requirements and demands. This extensive Python Certification course is created to help you master important Python programming concepts such as Data Operations, File Operations and OOPs concepts. This Python Training is live, instructor-led & helps you master various Python libraries such as Pandas, Numpy and Matplotlib to name a few, with industry use cases. Enroll now to this Python certification course and learn Python online to be a certified Python professional with Edureka.

What you will learn:

+ Working with Modules and Handling Exceptions.

+ Data Visualization using Matplotlib.

+ Developing Web Maps and Representing Information using Plots.

Click here to sign up


35. Python Django training and Certification (Edureka)

Designed to meet the industry benchmarks, Edureka’s Python Django Training and Certification course is curated by top industry experts. This extensive online interactive course is created to help you gain expertise in the Django REST framework, Django Models, Django AJAX, Django jQuery, and much more. You will also master the Django web framework while working on real-time use cases and receive Django certification at the end of the course. Enroll now to become a certified Python Django expert with Edureka.

What you will learn:

+ Object Oriented Programming in Python.

+ Debugging, Databases and Project Skeletons.

+ Introduction to Django Web Framework.

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36. Machine Learning Using Python (Edureka)

Edureka’s Machine Learning Certification Training using Python will help you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes, and Q-Learning. This Machine Learning Training will also help you understand the concepts of Statistics, Time Series, and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Machine Learning Training, you’ll be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR.

What you will learn:

+ Introduction to Machine Learning with Python.

+ Association Rules Mining and Recommendation Systems.

Click here to sign up


37. Python Spark Certification Training using PySpark (Edureka)

Edureka’s Python Spark certification training is curated by top industry experts. This PySpark online course is created to help you master skills that are required to become a successful Spark developer using Python. This Spark online course is live, instructor-led & helps you master key PySpark concepts, with hands-on demonstrations. This PySpark course is fully immersive where you can learn and interact with the instructor and your peers. Enroll now in this PySpark certification training.

What you will learn:

+ Introduction to Python for Apache Spark.

+ Functions, OOPs, and Modules in Python.

+ Deep Dive into Apache Spark Framework.

+ Machine Learning using Spark Mllib.

Click here to sign up