16 Best Online Python Courses And Certifications [Updated March 2023]

Best Python Online Courses Certification Training


Looking for the best website to learn Python? You have hit the jackpot! Not because TrumpLearning will teach you but rather our Python and Data Science experts have compiled a list of 16 best online Python courses. Today, Python is one of the most widely used programming languages. It is used for everything from web development to software development and scientific applications. No wonder, it is the fastest-growing programming language in the world. Also, it is the most popular language for Data Scientists worldwide.


If you get a strong foundation in Python language then your job opportunities include Software Engineer, Python Developer, Research Analyst, Data Analyst, Data Scientist, and Software Developer. Lucrative, isn’t it? According to a research by IEEE, the average Python developer salary in the US is $116,379. If all the above arguments (apart from the technical benefits of course) are reason enough for you to fall in love with Python, then you are ready to begin your Python journey. Also, keep reading till the end to find a bonus resource to get your Python certification online.


16 Best Online Python Courses For Beginners

  1. Python for Everybody Specialization [Coursera]
  2. Python for Analytics by NUS Business School [Emeritus]
  3. Learning Python with PyCharm [Lynda]
  4. Introduction to Python [DataCamp]
  5. Complete Python Bootcamp: Go from zero to hero in Python 3 [Udemy]
  6. Python [Codecademy]
  7. Learn Python Programming Masterclass [Udemy]
  8. The Python Mega Course: Build 10 Real World Applications [Udemy]
  9. Introduction to Python: Absolute Beginner [EdX]
  10. Introduction to Python: Fundamentals [EdX]
  11. Professional Certificate in Introduction to Python Programming [EdX]
  12. Python 3 Programming Specialization [Coursera]
  13. The Python Bible™ | Everything You Need to Program in Python [Udemy]
  14. Python Fundamentals [PluralSight]
  15. Applied Data Science with Python Specialization [Coursera]
  16. Python for Data Science and Machine Learning Bootcamp [Udemy]
Python for Everybody Specialization [Coursera] As the name suggests, it is not simply a Python online course but an entire specialization that comprises of 5 courses. The specialization introduces you to the fundamental programming concepts and culminates in a capstone project. You would also be taught about creating your own applications for data retrieval and processing, basics of the Structured Query Language (SQL) and database design, and data structures. The specialization itself would take around 4 months to complete at the suggested pace of 12-hours per week. Once you successfully complete the project, you will be awarded a certification.


The following five courses make up this Python specialization:
  • Programming for Everybody (Getting Started with Python)
    • In this beginner’s Python online course, learners will cover first 5 chapters of the book “Python for Everybody”; essentially they will be introduced to simple syntax and semantics of the language.
  • Python Data Structures
    • Data Structures form the backbone of any complex data analysis under any programming language. In this Python online course, learners will move past procedural syntax and get introduced to in-built data structures like Lists, Dictionaries and Tuples. Chapters 6-10 from the book “Python for Everybody” will be covered in this course.
  • Using Python to Access Web Data
    • Python is most widely used in 2 areas – web scraping and data analysis. And as a learner, you get introduced to first area in this course. You will be covering chapters 11-13 from the book and work extensively on how to scrape data from the web. Data formats that will be used are – HTML, XML and JSON.
  • Using Databases with Python
    • So if web scraping was done in the previous course, data analysis will happen in this course. As a learner, you will learn how to retrieve data from databases and then deploy D3.js library to do data visualization. This Python online course gets mapped with chapters 14-15 of the book. In case you want to check out the best data visualization courses, then click here.
  • Capstone: Retrieving, Processing, and Visualizing Data with Python
    • Everything learnt so far under this Python specialization culminates into a capstone project where learners will be building a search engine. Beside search engine, learners will also have an opportunity to build other projects.


Reviews by student:
I'm at the top of my class at the institute, and I'm well-informed of the latest research going on in my field. All of this is possible thanks to Coursera.
Siddhant S.


Python for Analytics by NUS Business School [Emeritus]

Having an analytical outlook can prove beneficial not just for you but also for the organisation you work. If you have absolutely no experience in python and wish to learn the language to gain essential insights by evaluating data, you have come to the right programme.


Emeritus provides you with the best platform to learn as it collaborates with top universities across the world to bring you the best online executive education programs. This time, Emeritus has partnered with NUS Business School and designed a 2-month long python online course that would evolve you as a programmer by dedicating only 4-6 hours per week. The programme inducts you into the basics of analytical tools used in python as it is tailored specifically for data analysis.

This offering from Emeritus is one of the best courses to learn python for managers across multiple domains, for software engineers seeking a career in data analytics, and for entrepreneurs who wish to understand data science/analysis and use it for business decision-making.


The programme has been divided into eight modules making it the best online python course enriched with live online classes, discussion boards, assignments, and quizzes. The topics covered in this python online course are:


  • Introduction to Python, Analytics and Data Science
  • Data Type Conversion and Control Flow
  • Working with Built-in Compound Data Types
  • Functions, Methods, and Packages
  • Data Manipulation and Analysis with Pandas
  • Descriptive Analytics with Numerical Summary
  • Descriptive Analytics with Data Visualization
  • Foundation of Predictive Analytics


The programme is taught and mentored by the faculty at the NUS Business School. You can enrol for the programme by paying a fee of USD 1200 that comes with flexible payment options. You will also earn a verified digital certificate on completion issued by NUS Business School.


Learning Python with PyCharm [Lynda]


For those who have a background of coding with great GUI environments like Visual Studio and Eclipse find it a bit bland to work in text editors like Vi or Emacs when coding in the Python language. This is where PyCharm comes to your aid. A cross-platform IDE (Integrated Development Environment), PyCharm takes care of the routine jobs. Further, it also imports traditional tools from the Python language like pip and virtualenv, code refactoring, etc. It’s first rate text editing tools will help you improve the code quality significantly as it uses robust tools from the popular development environments like Visual Studio and Eclipse. A 2 hour - 30 minutes course, it will help you learn Python programming with PyCharm.


The important areas covered in this python online training are:
  • Creating packages using TODO
  • Working with Inline-SQL (DML)
  • Data viewer and SQL console
  • Using generated SQL (DDL)
  • Fixing the missing libraries
  • Scrape page functionality


Introduction to Python [DataCamp]


The Python online course which is around 4-hours long and has 11 videos along with more than 50 exercises will help you master the fundamentals of data analysis in Python. Further, you would be working on scientific computing using numpy. The USP of this online Python course is that unlike many other courses, it focuses solely on using Python for data science. Not only you would be learning about powerful ways to manipulate data but also using these data science tools for your own analysis.


The key concepts learnt in this seemingly best online python course are:
  • Variables and types
  • Manipulating lists
  • Slicing and dicing
  • Replacing list elements
  • Importing packages
  • Subsetting 2D Numpy arrays


The online Python course for beginners is primarily divided into four segments or chapters namely, Python Basics, Python Lists, Functions and Packages, NumPy. Out of these,Python Basics is totally free of cost while the others require a subscription to learn.


Reviews by student:
DataCamp is the top resource I recommend for learning data science.
Louis Maiden


Complete Python Bootcamp: Go from zero to hero in Python 3 [Udemy]


This online Python course will take you from a complete newbie to a level where you would be comfortably developing your own applications and games. You would be learning Python 3 in over 100 lectures and more than 20-hours of video. Further, you would be committing your learning to the memory through quizzes, tests, and homework assignments as well as 3 major projects to create a Python project portfolio. Every lecture comes with a full coding screencast plus corresponding Notebooks for the lectures. Perhaps this is the most enrolled Python online course out there with more than 800,000 enrolments so far.


The important topics taught in the online python course for beginners are:
  • Python 2 and Python 3 basics
  • How to work with timestamps
  • Creating GUIs in the Jupyter Notebook system
  • Development of games with Python, like Tic Tac Toe and Blackjack
  • Object Oriented Programming with classes
  • Advanced Python Objects and Data Structures


If for some reason you don’t like this online Python course, the 30-Day Money-Back Guarantee from Udemy is always there.


Reviews by student:
Very good course. First-time contact with Python. I have learned a while ago HTML but not practised too much, so I was a bit familiar with programming. What I would recommend is to insert a bit more exercises with explanations. Otherwise, I recommend this course along with practice. The learning will start from now on.


Python [Codecademy]


Python by Codecademy is not a single course but rather a collection of skill paths where each skill path consists of multiple lessons. Skill paths, unlike a single course, will specialize you in one area through a specialized skill. We are laying out what exactly you will be learning by going down each path.


1. Analyze data with Python This path focuses on the fundamentals of data analysis through Python. If you want to move beyond Excel and work on lucrative projects like A/B Testing for Shoefly.com, Fetchmaker etc. then this path will help you achieve your goals. You should take around 10 weeks to complete this path.


A few things that you will you learn:
  • Data Manipulation with Pandas
  • Data Visualization with Matplotlib
  • Hypothesis Testing with SciPy


2. Analyze financial data with Python If data analysis became your specialization with the last path then it is time to tailor it for the world of financial data. You would be learning to process, analyze, and visualize financial data faster than ever. The projects in this path include US Financial Health, Analyzing Stock Data, etc. A time of 7 weeks is required to complete this path.


Some key concepts covered in this path are:
  • Visualizing Finance Data
  • Regression
  • Introduction to Pandas and Numpy


3. Get started with Machine Learning As the name suggests, you will be building machine learning models that recognize patterns in data. The path takes around 7 weeks to complete and provides you an opportunity to work on projects like Handwriting Recognition, Sports Vector Machine and Breast Cancer Classifier.


Important topics covered in the path are:
  • Regression Cumulative Project
  • Supervised Learning: Regression
  • Perceptrons and Neural Nets


In case you are looking for a separate list for the best machine learning courses, click here.


4. Visualize data with Python Taking around 6 weeks to complete, this path will help you create powerful data visualizations with Python, which is the core of compelling arguments and great stories. Visualizing World Cup Data, Sublime ‘Lime’ Path and Python Gradebook are some of the projects that you will be working on.


Via this path you will be learning:
  • Graphing in Python
  • Data Manipulation in Python
  • Advanced Graphing in Python


These four paths covered in one course is perhaps one of the biggest reasons why it is one of the best online python course available in the market today.


Learn Python Programming Masterclass [Udemy]


If either one or all of these : building your skills from scratch, moving to a more senior position, getting started with machine, developing your Python apps are the motives behind you wanting to learn Python, then this is your go to guide. This online Python course will give you core skills quickly and make you confident about programming in Python. However, it will not teach you data science, machine learning and artificial intelligence as these topics are branches of Python programming. The course instructors, Tim and Jean-Paul have around 70 years of professional programming experience combined together.


This online Python course for beginners covers the following topics quite well:
  • Program Flow Control
  • List, Ranges and Tuples
  • Generators, Comprehensions and Lambda Expressions
  • Input and Output
  • Modules and Functions
  • Packages and Databases


It is an extremely exhaustive course with more than 46-hours of video and 270+ lectures.


Reviews by student:
It was a long and massive course. It took me about half a year to finish. I liked it, but I think some things could be improved: - The videos could be a little bit shorter than 20 minutes. - The challenges shouldn't be placed in the middle of the videos but rather in the end. Using Python for creating small, practical applications made the learning experience better. The beginning of the course was a bit long and not so interesting, I almost quit during the data types part.
Gyorgy Beszedics


The Python Mega Course: Build 10 Real World Applications [Udemy]


This is a hands-on Python training course where both beginners and intermediate level students will be learning Python 3 in a very practical way by working on 10 applications.  Ranging from webcam object detection apps, to data collector web apps that query data from SQL databases, this Python online course will arm you with the professional tools and technologies to build real world applications. Each application that you build would be touching areas like databases, web development, desktop apps, web scraping scripts, webcam object detectors, web maps, and data visualization dashboards.


Important topics covered in this Python online course are:
  • Web-mapping
  • Creating a translator
  • Development of a desktop app for storing data for books
  • Creating web scrapers
  • Object-Oriented Programming
  • Publishing a portfolio website on a real server


The course will take you from the very basics where you know absolutely nothing about Python to a point where you will be building these applications on your own. With more than 70 coding exercises to make you adept, this 24-hour video course also has 68 articles and 48 downloadable resources to aid your learning. And then there is the lucrative 30-Day Money-Back Guarantee in case you feel this course is not for you.


Reviews by student:
Great course with real-world examples. I would recommend to those who are starting to learn Python, as well as to those who want to do more complex programs. Most things explained very clearly. Plenty of opportunities for learning additional materials, like how to troubleshoot errors, how to install python libraries, use SQL or HTML with Python. Many thanks to the tutor.
Lillian Sk


Introduction to Python: Absolute Beginner [EdX]


If you have absolutely no knowledge about Python but still want to start coding right away, then this online Python course by Miscrosoft is just the right thing for you. It quickly covers the fundamentals and jumps on to the exciting parts. The course is a part of a professional certificate (Professional Certificate in Computer Science) and  using Jupyter Notebooks on Azure, it gives you ample practical training. By the end of the course, you will be able to create simple programs that are based on user input and provide responses. Further, you would also be able to troubleshoot your own code.


The fundamental skills you would have after this Python online course are:
  • Jupyter Notebooks
  • Accepting input and manipulating the output
  • Understanding on usage of reusable functions
  • Conditional statements
  • Decisions and repetitions
  • Parameters and return values


At the suggested pace of 3-4 hours per week, the course should take you around 5 weeks to complete. The course is governed by Microsoft and is free to take unless you want to add a verification certificate.


Introduction to Python: Fundamentals [EdX]


When you are done with the Introduction to Python: Absolute Beginner [EdX] course, this is the route that you should take. Building on what you learned in the previous course, this one digs deep into data structures. It is also a part of a professional certificate (Professional Certificate in Computer Science). The teaching style would provide you with lots of practice through sample codes in Jupyter Notebooks on Azure. After sifting through strings, lists, range sequences, list iteration, and list methods, you would proceed to file input and output and various actions associated to files.


The key elements you would study in this Python online course are:
  • Python 3 fundamentals
  • String Indexing
  • List Manipulation
  • Iteration
  • File Input and Output
  • Creating, reading and writing to files


This course too should take you no more than 5-weeks to complete if you maintain the suggested pace of 3-4 hours per week. You can take this course for free but the verification certificate comes at a cost.


Professional Certificate in Introduction to Python Programming [EdX]


“Introduction to Computing in Python” is a cluster of courses from Georgia Tech’s online for-credit version CS1301: Introduction to Computing. This is an exhaustive course that will take you from a complete beginner with no programming knowledge whatsoever to a skilled individual with proficiency in the basics of programming and particularly Python. There has been a research that students who have taken this course on-campus have exited with the same level of expertise and skill sets as those taking the online version. Live programming problems along with several multiple choice questions serve as a feedback to your learning curve and help you grow exponentially.


The following courses make up this exhaustive Python certificate program:


After completing this Python certificate program, you will feel confident in:

  • Write-run-debug cycle of writing code
  • Procedural programming
  • Control structures
  • Conditionals and complex reasoning
  • Tuples and lists
  • Replicating object-oriented reasoning using dictionaries
  • Common sorting algorithms
  • Data structures


Though it is a self-paced certificate program,you will be able to complete it in 5-months if you work at the suggested pace of 9-10 hours per week. Again this is a very exhaustive resource which makes it one of the best python course for beginners.


Python 3 Programming Specialization [Coursera]


Next one on the list of the best Python online courses comes from the University of Michigan. And this is not a course but a specialization much like the first one on the list. It takes around 5-months to complete at the recommended pace of 15-hours per week. It teaches you the basics and then proceeds to advanced stuff. The end result is a fluent Python programmer.


You will be beginning, with variables, conditionals, and loops and then work on intermediate level concepts like keyword parameters, list comprehensions, lambda expressions, and class inheritance. With this comprehensive  course offered by the University of Michigan, you would be writing programs that query Internet APIs and use new modules and APIs towards the end of your learning journey. We recommend you to move to the Applied Data Science with Python specialization once you complete this one.


There are 5 courses in this specialization:


Major topics covered in this specialization are:

  • Sequences and Iteration
  • Sequence Mutation and Accumulation Patterns
  • Files and CSV Output
  • Dictionaries and Dictionary Accumulation
  • Map, Filter, and List Comprehensions
  • Nested Data and Nested Iteration
  • Unit Testing and Exceptions
  • Inheritance
  • Tesseract and Optical Character Recognition
  • Computer Vision with OpenCV


Reviews by student:
Learning from leading scientists about what's going on in the field right now is so much different than the experience of reading a textbook.
Peter W.


The Python Bible™ | Everything You Need to Program in Python [Udemy]


This Python online course will help you go from Beginner to Pro level in Python by making you work on 11 projects. This 9-hour course focuses on project based learning methodology instead of purely theoretical videos. Along with the course comes a Zero Risk, 30 Day 100% Money Back Guarantee. This authoritative and illuminating course will begin with the most basic concepts assuming you know nothing about programming and make you adept in the more advanced concepts with the help of 11 projects. As the course is for complete beginners, therefore, we suggest you to refrain from it in case you are a seasoned developer.


The important topics taught in this online Python course for beginners are:
  • Object-Oriented Programming
  • Building Custom Python Functions
  • Creating “Behind-the-Scenes” Functionality
  • Logical and conditional flow
  • Python data structures
  • Keyword Arguments and Default Parameters
Reviews by student:
"Hello beautiful people...!" This is absolutely beginner course for whom no background in programming world. Ziyad, the lecturer is fun and motivate person, explain in details and give quiz, exercises to ensure learner understand the theory of Python. I am glad that i taken this course which gain me more confident and get me ready to take Python advance course in near future.
Jensen Ko C S


Best Online Python Courses for Intermediate/Advanced Learners

  1. Python Fundamentals [PluralSight]
  2. Applied Data Science with Python Specialization [Coursera]
  3. Python for Data Science and Machine Learning Bootcamp [Udemy]


Python Fundamentals [PluralSight]


Before you proceed, you must know that this is an intermediate level course that requires you to have at least some know how about the programming world. In case you are a complete newbie just stepping into the world of coding, we suggest you to refrain from this course. By no means we mean to say that this is a bad course. It’s just that the teaching methodology and terminology assumes that you are not a complete newbie and have some idea about basic programming concepts. However, you will be learning them again in the course. This 5-hour online Python course comes with a 10-day free trial from the PluralSight platform.


Key concepts covered in this Python online course are:
  • Read-Eval-Print Loop
  • Significance of Whitespace
  • Conditional Statements
  • Variable scoping
  • Imprudent error codes
  • Fractal images


Applied Data Science with Python Specialization [Coursera]


Offered by the University Of Michigan, this intermediate level specialization is a cluster of 5 courses. You would be learning to apply data science methods and techniques through Python, and acquire analytical skills. So in case you are looking to learn Python as a beginner, then this online Python course is not for you. You will be working in the field of data science. As expected, the prerequisites are that you should have a basic python or programming background. You would be getting to work with popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx.


The 5-courses that you would be studying are:


The primary concepts taught in this Python Specialization include:
  • Query DataFrame structures
  • Lambdas and manipulating csv files
  • Charting Fundamentals
  • Applied Visualizations
  • Supervised Machine Learning
  • Intro to SciKit Learn
  • Basic Natural Language Processing
  • Topic Modeling
  • Network Connectivity
  • Influence Measures and Network Centralization


The specialization suggests you to complete Courses 1-3 in a chronological order and gives you the liberty to do Courses 4 and 5 in any order. If you are looking for a certification then all the 5 courses need to be completed. At the suggested pace of 8-hours per week, you should not take more than 4-months to complete the course.


In case you are looking for recommendation for the best data science online courses, then click here.


Reviews by student:
I'm at the top of my class at the institute, and I'm well-informed of the latest research going on in my field. All of this is possible thanks to Coursera.
Siddhant S.


Python for Data Science and Machine Learning Bootcamp [Udemy]


This intermediate level course from Udemy requires you to have some programming experience in order to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, and Tensorflow. The course focuses on using Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms. This is a 22-hour course with more than a 100 lectures and detailed code notebooks for every lecture has been provided for this comprehensive course.The 30-Day Money-Back Guarantee by Udemy ensures that you are always backed up in case the course is not what you were looking for.


The following key concepts are present in this online Python course:
  • Pandas for Data Analysis
  • Implementation of Machine Learning Algorithms
  • Natural Language Processing and Spam Filters
  • Neural Networks
  • Support Vector Machines
  • Matplotlib for Python Plotting


Reviews by student:
Overall, I felt this course was an excellent introduction to Data Science, particularly for Python coders. I especially enjoyed the lessons on Data Visualizations. The lessons are concise and the exercises are practical. Each succeeding lesson builds on and reinforces what you have already learned. The sections on Big Data and Deep Learning may have room for growth, but I'm happy for the lead-in to these topics, nonetheless.
Kenny Batallones



OpenEDG Python Institute Certifications [Note: This Is Not A Course]

If you are looking for an independent and vendor-neutral Python certification online then OpenEDG Python Institute offers one in cooperation with Pearson VUE. Pearson VUE is the world’s leader in computer-based testing. You can take the certification exams at three competency levels namely: Entry, Associate, and Professional. You can take the entry-Level certification exam in both invigilated and non-invigilated form at a time and location convenient to you. Whereas the Associate- and Professional-Level certification exams have to be taken as an invigilated test in one of the 5,000 Pearson VUE® Authorized Test Centers and Pearson VUE® Authorized Test Center Selects. However, the time and location can be of your choice.


The details about them are as follows:


PCEP – Certified Entry-Level Python Programmer Shows that you are familiar with basic concepts like data types, containers, functions, conditions, loops, and the Python programming language syntax, semantics, and runtime environment.


PCAP – Certified Associate in Python Programming The Associate certification rates you as an intermediate level Python programmer and gives you a head start on preparing for and advancing to the professional level.


PCPP-32-1 – Certified Professional in Python Programming : Part 1 This certification recognizes your advanced Python programming knowledge and skills, mainly in the areas of Advanced OOP, GUI Programming, PEP conventions, Text File Processing, Communicating with a program’s environment as well as maths, science, and engineering modules.


PCPP-32-2 – Certified Professional in Python Programming : Part 2 This certification reflects your wide programming skills and experience in Python and related technologies in the areas of Creating and Distributing Packages, Design Patterns, IPC, Network Programming, and Python-MySQL Database Access. It is a proof of acquisition of the highest level of expertise.


You so not need the PCEP (Entry-Level) certification for the PCAP (Associate) or PCPP (Professional) certifications. However, PCAP certification is a pre-requisite for the PCPP certification. Also, PCPP-32-1xx certification (PCPP – Certified Professional in Python Programming 1) is a pre-requisite for the PCPP-32-2xx certification (PCPP – Certified Professional in Python Programming 2.


If and when you pass the PCAP-31, PCPP-32-1, and PCPP-32-2 exams, you will be recognized as an OpenEDG Python Institute Certified Expert in Python Programming (CEPP). You would be known for your expert Python programming skills as well as mastery of Python-related technologies.


This ends our discussion on Python certification online.



We have provided some of the best resources to learn Python online. Technically speaking, there is no best online course to learn Python. Each of these best online Python courses are incredibly good and it all boils down to your dedication and commitment to learn it. Therefore, leaving you with that thought, we take your leave. See you in the next article. If you are already enrolled in a python course and are struggling, then we recommend TAE for python homework help


Best Python Online Courses Certification Training Reviewed by 10 Python Experts 4.8
Disclaimer: When you buy through some links on our site, we may earn a commission. However this commission will not cost you anything extra.