1- Free Python Introduction Course

2- Google’s Python Course

3- Interactive Python Learning

4-Python Learning Path for Beginners & Experts 

5- Learn Python 3 Course

6- Introduction to Python Programming

7- Complete Python Bootcamp: Go from zero to hero in Python 3

8- Python for Data Science and Machine Learning Bootcamp

9- Automate the Boring Stuff with Python Programming

10- Machine Learning, Data Science and Deep Learning with Python

11- Machine Learning A-Z™: Hands-On Python & R In Data Science

12- Complete Python Developer in 2020: Zero to Mastery

13- Python 3: Deep Dive (Part 1 – Functional)

14- The Python Bible™ | Everything You Need to Program in Python

15- Python for Everybody

16- Machine Learning with Python

17- Applied Data Science with Python

18- Python Functions, Files, and Dictionaries

19- Introduction to Scripting in Python

20- Data Analysis with Python

21-An Introduction to Interactive Programming in Python (Part 1)

22- Python for Data Science and AI

Course #1: Free Python Introduction Course 

Are you ready to explore data science, machine learning, and artificial intelligence? Do you want to harness Python, a powerful programming language used by top organizations worldwide? If so, this course is for you. It covers Python fundamentals like variables, data types, lists, functions, and packages. You will learn to use essential data science tools, such as NumPy, to handle data efficiently.

This course stands out by focusing on data science applications and real-world challenges, unlike traditional Python tutorials. You’ll dive into advanced topics like OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion. With hands-on projects, you’ll apply what you learn to real data and see immediate results. Start your data science journey today with DataCamp’s Introduction to Python and unlock the power of Python in data science.

Offered by: Datacamp

Instructed by: Hugo Bowne-Anderson (data scientist and educator).

Price: $25 (basic) and $33.25 per month (premium)

Skills and Knowledge Imparted: 

1. Python basics
2. Modulation
3. Control flow
4. Python syntax

Difficulty Level: all levels

Duration and Total Lectures: 4 hours

Average User Rating: 4.6

Review:

Students rave about the dynamic and clear nature of the course, finding it remarkably helpful. They appreciate the practice-oriented approach, learning by doing, and the integration of OpenAI for error analysis. The course’s practice-leaning style is easy to follow, creating an enjoyable learning experience. Some suggest additional optional exercises for further skill development. Starting with zero knowledge, learners feel they’ve built a solid foundation in Python, ready to advance to the next stage. Overall, the course is interactive, step-by-step, comprehensive, and refreshing, making it stand out for its engaging and effective teaching style.

Course #2: Google’s Python Course

Are you ready to dive into the world of Python programming? Google’s Python Class is your go-to resource, especially if you have a bit of programming experience and a hunger to master Python. This free course, utilized within Google, provides a well-rounded package encompassing written materials, captivating lecture videos, and interactive code exercises. Tailored for individuals with basic programming knowledge, the course takes you on a progressive journey through Python concepts – from fundamental strings and lists to advanced applications involving text files, processes, and HTTP connections. Regardless of your programming expertise, this course is designed to suit your learning needs. Delve into Python installation, language introduction, and coding practices, seamlessly connecting to practical exercises in each section. Crafted by Nick Parlante from Google’s engEDU group, this course, generously shared under the Creative Commons Attribution 2.5 license, ensures not only comprehension but mastery of Python. Choose excellence – opt for Google’s Python Class, where you can grasp Python with unparalleled clarity and expertise, all at your own pace. And yes, it’s free!

Offered by: Google

Instructed by: Google

Price: free

Skills and Knowledge Imparted: 

1. Python set up
2. Strings
3. Lists
4. Sorting
5. Dicts and files

Difficulty Level: all levels

Duration and Total Lectures: self-paced

Average User Rating: 4.4

Review:

While user reviews are not  present on the course page, Google’s Python course exemplifies the consistently high-quality content and educational standards found in Google’s courses. With a reputation for offering helpful and insightful classes, Google ensures a valuable learning experience. Dive into this Python course with confidence, knowing that Google’s commitment to excellence extends to all its educational resources.

Course #3: Interactive Python Learning

LearnPython.org is your gateway to grasp Python programming and data science with DataCamp. You can access a free and interactive Intro to Python tutorial that features practical coding challenges and instructive videos. No matter your skill level, this website has something for you if you want to understand the Python language. Thanks to DataCamp, you can also explore online interactive Python tutorials for data science that cover key topics like data manipulation, visualization, statistics, and machine learning. Become part of the 11 million-strong community and learn from detailed tutorials that span from basics like variables and lists to advanced concepts like decorators and map-reduce. After you finish the tutorials, you can earn a Python Certification from LearnX and boost your professional profile on LinkedIn. Don’t let this opportunity to embark on your Python journey with a user-friendly and well-supported platform pass you by. Start now!

Offered by: learnPython

Instructed by: learnPython tutorials

Price: free

Skills and Knowledge Imparted: 

1. Variables and their types.
2. Lists
3. Basic operators
4. String formatting
5. Basic string operations.
6. Loops
7. Classes and objects.
8. Dictionaries

Difficulty Level: all levels

Duration and Total Lectures: self-paced

Average User Rating: 4.4

Review:

Upon exploring the Python course on Learn Python org, it’s noticeable that user reviews are not visibly present on the course page. While the absence of reviews may leave potential learners curious, it’s essential to explore the course content and structure to make an informed decision about its suitability for your learning journey.

Course #4: Learn Python 3 Course

Python is one of the most in-demand programming languages today. This online course is designed to teach Python from scratch. It’s divided into three phases, starting with a brief overview of Python’s features. You’ll quickly progress to learning key concepts like variables, data types, and conditionals.

As the course continues, the instructor moves beyond the basics and introduces you to the developer’s toolkit. The final section focuses on applying your skills to real-world projects. You’ll work on sample problems and build a job board using Python and Flask. The first 10 days of the course material are free.

The Learn Python 3 course will help you master one of the most versatile programming languages. You’ll learn to create web applications, analyze data, and automate tasks with Python. The course includes 14 lessons, 12 projects, and quizzes covering control flow, lists, functions, and more. Optional coding challenges are available to test your skills. Earn a certificate of completion to showcase on LinkedIn. Join over 2.4 million learners and start mastering Python today!

Offered by: Pluralsight

Instructed by: Pluralsight online instructors

Price: $29 (monthly), $299 (annual) and $499 (premium).

Skills and Knowledge Imparted: 

1. Syntax
2. Python objects
3. Scalar types
4. Operators
5. String I/O
6. Collections

Difficulty Level: all levels

Duration and Total Lectures: 33 hours, 30 minutes

Average User Rating: 4.6

Review:

Enthusiastic learners praise the Python course as not just beginner-friendly but also hands-on, guiding them seamlessly from basics to practical applications. The course’s distinctive feature lies in its interactive and enjoyable structure, breaking down concepts into manageable chunks. This approach ensures learning never feels like a tedious task, and each milestone is easily attainable. The well-crafted content, abundant examples, and slower pace cater perfectly to beginners, making it highly recommended for anyone venturing into programming. These satisfied learners are currently employed at major tech companies like Google, Meta, Apple, IBM, Amazon, YouTube, Uber, Microsoft, Spotify, Instagram, and Reddit.

Course #5:  Introduction to Python Programming

Discover Python for free with Udacity’s Introduction to Python Programming course! This beginner-friendly course helps you learn Python, a versatile and in-demand programming language. Led by expert instructor Juno Lee, you’ll master data types, operators, functions, and modules. Dive deeper into Python’s data structures, control flow, iterators, and generators.

The course includes seven lessons, interactive quizzes, and a supportive community to help you along the way. No prior Python experience is needed. You’ll get hands-on with coding exercises and interactive examples to reinforce your skills. Upon completion, you’ll earn a certificate to showcase on your LinkedIn profile.

This course is an excellent introduction to programming concepts and Python 3, the latest version with many useful enhancements. Whether you’re a complete beginner or looking to strengthen your skills, this course will set you up for success. Enroll now and start exploring Python’s endless possibilities!

Offered by: Udacity

Instructed by: Juno Lee

Price: Join the platform for Free

Skills and Knowledge Imparted: 

1. Understanding the need to learn programming with Python.
2. Representing data using Python’s data types: integers, floats, booleans, strings, lists, tuples, sets, dictionaries, compound data structures.
3. Performing computations and create logical statements using Python’s operators: Arithmetic, Assignment, Comparison, Logical, Membership, Identity.
4. Practicing style guidelines.
5. And writing conditional expressions to add decision making to your Python programs.

Difficulty Level: all levels

Average User Rating: 5.0

Review:

Udacity Courses offer a diverse range of learning opportunities, providing high-quality content across various subjects. The platform’s interactive approach, expert-led instruction, and real-world projects contribute to a dynamic learning experience. However, it’s important to note that specific course reviews are not available, making it challenging to gauge individual course feedback. Overall, Udacity’s commitment to skill-building and career advancement makes it a noteworthy choice for learners seeking comprehensive, industry-relevant education. Keep in mind that detailed insights into particular courses may require additional research.

Course #6: Complete Python Bootcamp: Go from zero to hero in Python 3

Ready to kickstart your Python journey? Join the Complete Python Bootcamp, a beginner-friendly course that covers everything from basic concepts to advanced features like decorators and object-oriented programming. Learn Python by working on hands-on projects such as manipulating PDFs, sending emails, web scraping, and image file processing. With over 100 lectures, coding screencasts, and practical exercises, you’ll gain a deep understanding of Python.

Explore data types, variables, conditionals, loops, and complex data structures like lists, sets, and dictionaries. You’ll also learn to define custom functions, write scripts, handle errors, and use Python’s Standard Library and external libraries. With a certificate of completion, a 30-day money-back guarantee, and access to a supportive student community, this course provides a fun, practical approach to mastering Python. Enroll now and start building your Python project portfolio!

Offered by: Udemy

Instructed by: Jose Portilla (head of data science at Pierian Data Inc.).

Price: $14.39

Skills and Knowledge Imparted: 

1. Command line basics
2. Installing Python.
3. Running Python code.
4. Strings
5. Lists
6. Dictionaries
7. Tuples
8. Sets
9. Number data types
10. Print formatting
11. Functions
12. Scope
13. Built-in functions
14. Debugging and error handling.

Difficulty Level: all levels

Duration and Total Lectures: 186 lectures, 24 hours

Average User Rating: 4.5 (195,689 ratings)

Review:

Students unanimously found the Complete Python Bootcamp transformative, praising its clarity and practical approach. The course excels in teaching Python comprehensively, making it superior to community college experiences. Beginners appreciate the detailed concepts, engagingly presented by the expert instructor, Jose Portilla. The course sets a strong foundation, making it suitable for various fields like machine learning and data science. While some desire more advanced content, the majority laud its efficiency. The hands-on projects and milestone assignments enhance understanding, ensuring students gain confidence and practical skills. Instructors’ teaching styles receive accolades, making this course a top choice for mastering Python.

Related: 12 Best Graphic Designing Courses!

 

Course #7: Python for Data Science and Machine Learning Bootcamp

This thorough course will be your manual for figuring out how to use Python to dissect information. Make excellent perceptions. And use ground-breaking AI calculations. Information scientist has been claimed the main employment on Glassdoor. And the normal pay of an information researcher is over $120,000 in the United States as per Indeed! Thus information science is a very compensating vocation. Because it enables you to settle a portion of the world’s most intriguing issues.

This certification is intended for the two learner types. One with some programming knowledge. And experienced engineers hoping to make the bounce to Data Science. Ideally, this complete course is practically identical to other Data Science bootcamps that generally cost a huge number of dollars. However, now you can gain proficiency with such data at a small amount. This class shows you how to program with Python. And how to make stunning information representations. But also shows you how to use Machine Learning with Python.

Offered by: Udemy

Instructed by: Jose Portilla (head of data science at Pierian Data Inc.).

Price: $13.79

Skills and Knowledge Imparted: 

1. Learning to use NumPy for numerical data.
2. Using Plotly for interactive dynamic visualizations and SciKit-learn for machine learning tasks.
3. Logistic regression
4. Linear regression
5. Random forest and decision trees.
6. Natural language processing and spam filters.
7. Neural networks
8. Support vector machines

Difficulty Level: all levels

Duration and Total Lectures: 149 lectures, 22.5 hours

Average User Rating: 4.5 (54,066 ratings)

Review:

Students who completed the Python for Data Science and Machine Learning Bootcamp on Udemy found it to be an outstanding learning experience. The course, led by Jose Portilla, stood out for its clear, concise, and engaging teaching style, making complex topics accessible even for beginners. The emphasis on practical application, through real-world examples and hands-on projects, was particularly helpful and rewarding. The instructor’s support and responsiveness to questions created a positive learning environment, contributing to the overall success of the course. Students praised the course for its comprehensive coverage, from the basics of Python to advanced concepts in data science and machine learning, setting it apart from others. The affordable price and valuable skills acquired make this bootcamp a worthwhile investment for both beginners and those looking to deepen their knowledge in the field.

Course #8: Automate the Boring Stuff with Python Programming

Tired of wasting time on boring tasks? This course is for you! Whether you’re an office worker, student, or manager, learning Python can boost your productivity and help you automate everyday chores like updating spreadsheets and sending emails.

Based on the popular book Automate the Boring Stuff with Python, this course is perfect for complete beginners. No prior programming knowledge is required. Forget about complex algorithms – this course focuses on writing code that gets things done. You’ll learn Python basics through hands-on projects like web scraping, PDF parsing, and Excel automation.

Led by Al Sweigart, author of the book, this course teaches practical Python skills that can revolutionize your work or hobbies. Enroll now and start automating tasks today!

Offered by: Udemy

Instructed by: Al Sweigart (software developer)

Price: $11.39

Skills and Knowledge Imparted:

1. Web scraping
2. Parsing PDFs and Excel spreadsheets.
3. Automating the keyboard and mouse.
4. Sending emails and texts.
5. Pro-grammatically controlling the mouse and keyboard to click and type for you.
6. Using Python’s debugging tools to quickly figure out bugs in your code.

Difficulty Level: all levels

Duration and Total Lectures: 51 lectures, 9.5 hours

Average User Rating: 4.6 (30,205 ratings)

Review:

Students universally praise this Python course as one of the most practical and hands-on experiences on Udemy. They appreciate the immediate applicability of the skills learned, citing instances where they automated routine computer tasks right after completing the course. The clarity and conciseness of the instructor, Al Sweigart, stand out, with particular mention of the engaging section on Regex. Students commend the course’s breadth, covering foundational concepts, effective debugging, and automation of everyday tasks. Despite some outdated content after section 9, students find the course valuable for its clear language, comprehensive material, and Al’s effective teaching style. Overall, it’s hailed as an excellent entry-level course for Python beginners, providing a strong foundation and practical knowledge.

Course #9: Machine Learning, Data Science and Deep Learning with Python

Ready to dive into the world of data science and machine learning with Python? If you’re excited about using Python to explore AI breakthroughs like generative models, transformers, and OpenAI, this course is for you. Imagine building your own neural networks, recommender systems, or even a Pac-Man bot. This course covers everything you need to know, including tools like TensorFlow, Keras, Spark, Matplotlib, and Seaborn.

Led by Frank Kane, a former data scientist at Amazon and IMDb, the course is designed for those with coding experience looking to transition into data science and AI. With over 100 lectures and 13 hours of video, you’ll learn strategies used by real industry professionals. Each lesson includes hands-on Python code models for practice, and the instructor presents ideas in simple, easy-to-understand language. You’ll get valuable notes to keep for reference as you progress. Enroll now to gain the expertise you need for a career in Python, machine learning, and AI!

Offered by: Udemy

Instructed by: Frank Kane (founder of Sundog Education).

Price: $11.39

Skills and Knowledge Imparted: 

1. Building artificial neural networks with Tensorflow and Keras.
2. Classifying images, data, and sentiments using deep learning.
3. Understanding reinforcement learning.
4. Classifying data.
5. Using train/test to choose and tune your models.
6. Building a movie recommendation system using item-based and user-based collaborative filtering.

Difficulty Level: beginner

Duration and Total Lectures: 101 lectures, 13 hours

Average User Rating: 4.5 (16,697 ratings)

Review:

The students find this Machine Learning and AI course exceptional. They appreciate its hands-on approach, providing ready-to-run code, comprehensive coverage, and useful lecture PDFs. Frank Kane and Sundog Education stand out for keeping the content constantly updated, ensuring its relevance and functionality. The course’s practicality and real-world application receive praise, and the instructor’s professional insights add valuable perspectives. Some suggest references for further exploration, but overall, it’s deemed one of the best ML courses, offering a deep understanding with practical examples. The course is highly recommended for those entering the fields of ML, AI, and Data Science.

Course #10: Machine Learning A-Z™: Hands-On Python & R In Data Science

Unlock the power of data science with the best Python courses on machine learning, AI, and Python programming. Delve into the world of machine learning algorithms using Python and R, the leading computer languages for data science. Gain expertise from two seasoned data science experts who simplify complex theories, algorithms, and coding libraries. This course is a dynamic journey, offering step-by-step guidance and hands-on experience. Master essential machine learning models, including regression, classification, clustering, and deep learning. Choose your preferred language—Python, R, or both—and practice with real-life case studies and exercises. Access downloadable Python and R code templates for your own projects.

Perfect for anyone with high school-level math knowledge, this comprehensive course covers the A-Z of machine learning and AI topics. Instructed by Kirill Eremenko and Hadelin de Ponteves, this Udemy-offered program ensures you’re equipped with the sought-after skills employers desire. Don’t miss the chance to enroll in this transformative course and elevate your understanding of machine learning, AI, and data science!

Offered by: Udemy

Instructed by: Kirill Eremenko (data scientist) and Hadelin de Ponteves (AI entrepreneur).

Price: $13.79

Skills and Knowledge Imparted: 

1. Mastering Machine Learning on Python & R.
2. Making accurate predictions, powerful analyses and robust Machine Learning models.
3. Using Machine Learning for personal purpose.
4. Handling specific topics like reinforcement learning.

Difficulty Level: all levels

Duration and Total Lectures: 294 lectures, 41 hours

Average User Rating: 4.5 (95,468 ratings)

Review:

Students found the course helpful for various reasons, leading to positive reviews and recommendations. The instructors did an excellent job explaining the intuition behind machine learning tools, making complex concepts more accessible. The practical exercises and hands-on experiences were valued, aiding understanding and application. While some suggested separating Python and R into distinct courses, others praised the course’s well-structured content and the instructors’ enthusiasm. A few students highlighted the need for more in-depth theoretical explanations, but overall, the course received commendation for providing a solid foundation in machine learning. Enthusiastic recommendations showcase its effectiveness for both beginners and those looking to advance their skills.

Course #11: Complete Python Developer in 2020: Zero to Mastery

Do you want to learn Python, the most popular computer language for data science and web development? Do you want to earn the Python certification? Do you want to master the latest Python 3.11 features and best practices? If yes, then this course is perfect for you! This course will teach you everything you need to know to become a professional Python developer. You will start from the basics and progress to advanced topics and different career fields in Python. You will practice with hands-on exercises and code templates. You will explore various Python applications, such as web development, machine learning, data science, automation, scripting, web scraping, image detection, data visualization, and more. You will use the most powerful tools and libraries, such as PyCharm, Jupyter Notebooks, VS Code, Tensorflow, Keras, Pandas, NumPy, scikit-learn, Selenium, BeautifulSoup, and more.

This course is designed for anyone who wants to learn Python or improve their Python skills. This course is comprehensive and up-to-date, covering the A-Z of Python 3. This Udemey course is instructed by Andrei Neagoie, an industry expert who has worked in Silicon Valley and Toronto. Join the course and become a complete Python developer today!

Offered by: Udemy

Instructed by: Andrei Neagoie (senior software developer and instructor)

Price: $11.99

Skills and Knowledge Imparted:

1. Mastering modern Python 3 fundamentals as well as advanced topics.
2. Machine learning with Python.
3. Learning data science.
4. Using Python to process images and other files.
5. Learning to test, debug and handle errors in your Python programs.
6. Setting up a professional work space with Jupyter Notebooks and more.

Difficulty Level: all levels

Duration and Total Lectures: 318 lectures, 30.5 hours

Average User Rating: 4.8 (846 ratings)

Review:

Graduates commend Andrei for his thorough coverage of Python’s extensive features and practical applications across various domains. While some suggest more exercises in the basics sections, the majority applaud the course’s in-depth exploration of Python, its libraries, and real-world projects. Noteworthy is the positive feedback on extra videos, thorough content updates, and the creation of personal projects. Despite occasional outdated files, students highly recommend this course for its affordability, extensive content, and foundational understanding of Python’s applications.

Course #12: Python 3: Deep Dive (Part 1 – Functional)

Ready to dive deep into Python 3? This course takes you through the core mechanics of Python, covering everything from basic concepts to advanced topics. You’ll explore variables, memory, scopes, numeric types, boolean expressions, callables, decorators, functional programming, modules, packages, and more.

Engage with hands-on coding videos, exercises, and fully-annotated Python notebooks that you can download and practice with. Designed for learners with basic Python knowledge, this course focuses on the latest Python 3 version and its standard library, known for its powerful built-in functionality.

Taught by Python expert Fred Baptiste, the course is hosted on Udemy. It’s perfect for anyone looking to gain a deeper understanding of Python and its capabilities. Enroll now and start mastering Python 3!

Offered by: Udemy

Instructed by: Fred Baptiste (professional developer and mathematician).

Price : $11.39

Skills and Knowledge Imparted: 

1. Variables, memory, namespaces and scopes.
2. Understanding how Python works.
3. Advanced Boolean expressions and operators.
4. Using functions.
5. Functional programming techniques. Such as reduction and filtering.
6. Creating advanced decorators.
7. Understanding Python’s compile-time and run-time. And how this affects your code.

Difficulty Level: intermediate

Duration and Total Lectures: 158 lectures, 44.5 hours

Average User Rating: 4.8 (1,993 ratings)

Review:

Enthusiastic students unanimously praise the Python course for its unparalleled depth and practical insights. The course’s unique strength lies in its intricate exploration of Python, not just teaching functions but delving into the language’s inner workings. Students appreciate the course’s professional and comprehensive nature, ideal for those with some Python experience seeking a deeper understanding. Despite some lengthy lectures, learners value the engaging content, clear explanations, and the course’s visual appeal. Its emphasis on fundamentals distinguishes it as an essential resource for refining Python proficiency.

Course #13: The Python Bible™ | Everything You Need to Program in Python

Ready to master Python? The Python Bible™ is the ultimate course to take you from beginner to expert! You’ll build 11 exciting projects that will help you learn Python step by step. Each project will teach you key programming concepts like data structures, object-oriented programming, and automation. You’ll even get to work with loops, create custom functions, and explore areas like data science and web development.

This hands-on Python course is packed with real-world projects to make you a confident Python coder. Whether you’re interested in data science, web development, or robotics, The Python Bible has everything you need to get started. Plus, it comes with a 30-day money-back guarantee, so there’s no risk. Sign up now and start your Python journey!

Offered by: Udemy

Instructed by: Ziyad Yehia (Udemy instructor)

Price: $11.39

Skills and Knowledge Imparted: 

1. Building 11 easy-to-follow python 3 projects.
2. Automating coding tasks.
3. Using variables to track data in python programs.
4. Creating programs that can think using logic and data structures.
5. And creating customized user experiences.
6. Using loops to improve efficiency, save time and maximize productivity.

Difficulty Level: beginner

Duration and Total Lectures: 74 lectures, 9 hours

Average User Rating: 4.6 (20,238 ratings)

Review:

Students express appreciation for Ziyad’s effective teaching style, making Python understandable and engaging. They value the step-by-step explanations and find the practical exercises interesting. The course is praised for being detailed and suitable for beginners, providing a strong foundation. While some find it more basic than expected, others appreciate the clarity for those with no programming background. Feedback suggests improvements, such as more details in certain sections and additional coding challenges. Despite varied opinions, Ziyad’s positive energy and unique teaching approach receive consistent acclaim. Overall, the course is recognized as valuable for beginners entering the Python coding world.

Related: 10 Best Website Design Courses Online

Course #14: Python for Everybody

Python for Everybody Specialization is a course that will help you understand how to program and analyze data with Python. You will grasp the basics of Python and how to construct programs from simple instructions. You will also work on data science projects with Python and learn how to gather, clean, analyze, and visualize data. You will comprehend topics like memory, control flow, functions, loops, and more. You will earn a career certificate that you can showcase on your LinkedIn profile, resume, or CV. The course includes seven modules, videos, readings, quizzes, peer reviews, and app items. You will also learn from industry experts and a textbook. The course has no prerequisites and covers Python 3. Whether you are a beginner or an advanced learner, this course is for you if you want to master Python for any purpose. Enroll now and join the Python for Everybody Specialization!

Offered by: University of Michigan via Coursera

Instructed by: Charles Russell Severance (professor, School of Information).

Price: free

Skills and Knowledge Imparted: 

1. Creating your own applications for data retrieval and processing.
2. Describing the basics of database design.
3. Explaining the basics of programming computers using Python.
4. Understanding fundamental programming concepts such as data structures.
5. Python Programming

Difficulty Level: beginner

Duration and Total Lectures: 4 months

Average User Rating: 4.8 (80,897 ratings)

Review:

Students highlight the course’s simplicity, appreciating Dr. Chuck’s engaging teaching style. Despite varying opinions on its basic nature, many find it beneficial for beginners with minimal programming knowledge. The well-paced lectures, relevant assessments, and easy navigation contribute positively. Positive remarks extend to the enthusiastic instructor and helpful content, fostering a supportive learning environment. However, some critique the course’s pacing, relevance to real-world applications, and lack of in-depth content in certain areas. While satisfaction levels vary, Dr. Chuck’s teaching style receives consistent praise, making the course an accessible starting point for Python beginners.

Course #15: Machine Learning with Python

This Machine Learning with Python certification program plunges into the fundamentals of AI utilizing Python. You will find out about the reason for Machine Learning and where it applies to this present reality; and get a general review of Machine Learning themes, for example, managed versus unaided learning, model assessment, and Machine Learning calculations.

This course allows you to master essential skills in machine learning, using Python as the primary programming language. Delve into various ML algorithms, including supervised and unsupervised learning, linear and non-linear methods, regression, classification, and clustering. Compare and evaluate techniques such as KNN, decision trees, logistic regression, SVM, k-means, and DBSCAN, and implement them with Python code using libraries like SciPy and scikit-learn. The course includes hands-on labs, a final project, and covers applications in healthcare, banking, and telecommunications. Earn a career certificate from IBM and showcase your expertise on LinkedIn, your resume, or CV. With six modules, videos, readings, quizzes, and app items, this course is perfect for both advancing your data science career and starting your journey into machine learning. Enroll now to grasp Machine Learning with Python!

Offered by: IBM via Coursera

Instructed by: Saeed Aghabozorgi (senior data scientist)

Price: free

Skills and Knowledge Imparted: 

1. Theoretical concepts about machine learning.
2. And applications of machine learning.

Difficulty Level: intermediate

Duration and Total Lectures: 16 hours

Average User Rating: 4.7 (3,943 ratings)

Review:

Students have found this Machine Learning with Python course to be a comprehensive and valuable learning experience. The theoretical background on mathematical aspects of machine learning tasks was appreciated, offering a deeper understanding of algorithms. The practical application of algorithms through labs and exercises is highlighted, contributing to a solid understanding. Despite concerns about peer grading and course duration discrepancies, the majority commend the instructor’s clarity, making it a recommended course for beginners and those seeking a foundational understanding of machine learning with Python.

Course #16: Applied Data Science with Python

The University of Michigan’s Applied Data Science with Python Specialization introduces you to data science using Python. This program is ideal for learners with a basic understanding of Python or programming. You’ll apply various techniques in statistics, machine learning, data visualization, text analysis, and social network analysis using popular Python tools like pandas, matplotlib, scikit-learn, nltk, and networkx.

The specialization consists of five courses and hands-on projects, offering a deep dive into data science concepts. You’ll learn to analyze and visualize data, create clusters, and explore social network connections. As you progress, you’ll gain valuable skills that can help advance your data science career. Upon completion, you’ll earn a career certificate from the University of Michigan to showcase on your LinkedIn profile, resume, or CV. This course is perfect for anyone looking to apply data science techniques using Python.

Offered by: University of Michigan via Coursera

Instructed by: Christopher Brooks, Kevyn Collins-Thompson and others (University of Michigan faculty).

Price: free

Skills and Knowledge Imparted: 

1. Text Mining
2. Python Programming
3. Pandas
4. Matplotlib

Difficulty Level: intermediate

Duration and Total Lectures: 5 months

Average User Rating: 4.5 (14,833 ratings)

Review:

Students have varied opinions on the “Applied Social Network Analysis in Python” course. Some find it well-structured, praising the clear explanations and pace of lectures. The instructor is appreciated for introducing the networkx library and basic graph concepts effectively. However, there are concerns about outdated material, particularly the auto-grader issues persisting for years. The course is regarded as lighter compared to others in the specialization. The final programming assignment is highlighted as valuable for integrating skills learned in the preceding courses. Mixed reviews suggest both strengths and areas for improvement in the course content and structure.

Course #17: Python Functions, Files, and Dictionaries

This course is part of the Python 3 Programming Specialization. It focuses on the core aspects of the Python programming language. You’ll learn about Python’s grammar and structure, along with how it handles sorting and functions. You’ll also explore how to manipulate data and control the order in which Python processes it.

For your final project, you’ll work with simulated social media data. You’ll read data from a file, calculate sentiment scores, and write the results into .csv files. This course is ideal for anyone who has completed the “Python Basics” course and wants to build on that knowledge.

Taught by experts Paul Resnick and Steve Oney, this course covers key topics like creating functions, handling files, and using dictionaries to organize data. By the end, you’ll solve real-world problems and earn a valuable certificate to add to your LinkedIn profile or CV. Ready to take your Python skills further? Enroll now and start mastering Python 3!

Offered by: University of Michigan via Coursera

Instructed by: Paul Resnick, Steve Oney and Jaclyn Cohen (University of Michigan faculty).

Price: free

Skills and Knowledge Imparted: 

1. Python Functions
2. Files
3. Dictionaries

Difficulty Level: beginner/intermediate

Duration and Total Lectures: 23 hours

Average User Rating: 4.8 (913 ratings)

Review:

It’s a well-made Python course for beginners. Students lauded the “Python Functions, Files, and Dictionaries” course for its practical challenges, notably sorting using anonymous lambda functions. The final project, though initially confusing, proved valuable as it encouraged independent problem-solving, fostering confidence. Participants appreciated the course’s balance between entry and intermediate levels, praising the meticulous preparation, well-structured content, and engaging pacing. However, some noted repetition in coding exercises and occasional challenges in navigating the course material. Despite these aspects, the majority recommended the course for its depth, interactive features like Runestone, and the hands-on approach to Python programming

Course #18: Introduction to Scripting in Python

Ready to start your Python programming career? This “Introduction to Scripting in Python Specialization” is perfect for beginners. It’s a four-course series designed to help you master the core concepts of Python 3. You’ll learn key programming ideas, including expressions, variables, functions, logic, and conditionals. These basics form the foundation of computer programming and will prepare you for scripting tasks.

Throughout the courses, you’ll work on real-world projects, such as processing dates, sports analytics, and data visualization. You’ll also gain hands-on experience with Python syntax, debugging, and data manipulation. The course smoothly transitions from online to desktop environments, making it easy to follow along.

By the end of the specialization, you’ll have the skills to write impactful Python programs. Plus, you’ll earn a certificate from Rice University to showcase your achievements. Join over 44,000 students who’ve already enrolled and take the first step toward a career in data science, software engineering, or related fields. Start building your Python skills today!

Offered by: Rice University via Coursera

Instructed by: Scott Rixner and Joe Warren (computer science professors).

Price: free

Skills and Knowledge Imparted: 

1. Data analysis
2. Python programming
3. Data visualization

Difficulty Level: beginner

Duration and Total Lectures: 2 months

Average User Rating: 4.7 (1,329 ratings)

Review:

Students found the Python Certification for from Rice University to be a helpful and insightful course. They appreciated the emphasis on breaking down problems for easier resolution and the didactic approach of the basic yet comprehensive curriculum. Some students mentioned the need for more explanation on specific topics like using datetime for generating the current date based on local time. The course introduced valuable tools such as Codeskulptor and Pythontutor for debugging, saving substantial time. It provided practical, real-world challenges, from sports analytics to data visualization, reinforcing Python skills. Overall, the course was considered a robust foundation for those aiming to master Python scripting skills.

Related: 6 Best and Free Certifications Courses by Top Universities!

Course #19: Data Analysis with Python

Turn your passion for data into valuable insights with this hands-on Python data analysis course. Start by learning to handle data using powerful libraries like Pandas, NumPy, and Scipy. You’ll master cleaning and preparing complex datasets, making them ready for analysis. Learn to manipulate data through dataframes, spot hidden patterns, and understand data distributions and correlations.

The course covers everything from data collection and formatting to building machine learning models. You’ll practice creating regression models to make informed predictions and data-driven decisions. With six modules packed with labs, projects, and real-world exercises, you’ll get a full, practical experience.

You’ll also learn how to import, clean, and visualize data. The course introduces you to Pandas, an open-source library that will help you stack, manipulate, and analyze datasets efficiently. By the end, you’ll earn a Coursera course certificate and an IBM digital badge to showcase your skills. Get ready to gain a solid foundation in Python programming, data analysis, and predictive modeling!

Offered by: IBM via Coursera

Instructed by: Joseph Santarcangelo (data scientist at IBM).

Price: free

Skills and Knowledge Imparted:

1. Python programming
2. Data analysis
3. Data Visualization
4. Model selection

Difficulty Level: beginner

Duration and Total Lectures: 10 hours

Average User Rating: 4.6 (5,715 ratings)

Review:

42% students began a new career after taking this course. Thus it’s perfect for beginners. The course stands out for its practical approach, guiding learners through Python commands for data analysis and offering hands-on labs. While some students acknowledge a few typos and minor issues, the overall coverage of data manipulation, statistics, and machine learning is well-received. The course is particularly beneficial for beginners, taking them from basics to a proficient level in data analysis. Despite occasional challenges with lab maintenance and grammar/spelling, students appreciate the valuable skills gained and the insightful application of Python libraries. The course’s practicality, real-world relevance, and the opportunity to earn an IBM digital badge contribute to its distinction from other offerings in the field.

Course #20: An Introduction to Interactive Programming in Python (Part 1)

Are you looking for Python courses for beginners? Do you want to learn how to build simple interactive applications in Python? If yes, then you should enroll in the An Introduction to Interactive Programming in Python (Part 1) course. This course is designed for beginners who have little or no computing background. You will learn the basics of Python programming, such as expressions, conditionals, and functions. You will also create fun applications that involve graphics, buttons, keyboard, and mouse, using a new browser-based programming environment. You will apply your skills to make a digital stopwatch and a version of the classic arcade game “Pong”. The course includes five modules, videos, readings, quizzes, and peer reviews. You will also earn a certificate that you can showcase on your LinkedIn profile, resume, or CV. The course is part of a two-part series that covers more topics in Python programming. Whether you want to prepare for more advanced courses or just have fun with Python, this course is for you. Enroll now and grasp interactive programming in Python!

Offered by: Rice University via Coursera

Instructed by: John Greiner and Scott Rixner (Rice University’s computer science faculty).

Price: free

Skills and Knowledge Imparted: 

1. Programming principles
2. Python syntax and semantics
3. Computer programming
4. Python programming

Difficulty Level: beginner

Duration and Total Lectures: 30 hours

Average User Rating: 4.8 (2,335 ratings)

Review:

Students who took this course found it exceptionally helpful in making programming accessible and enjoyable. The instructors, Joe Warren and Scott Rixner, received praise for their effective teaching style. Despite a few challenges, the comprehensive lectures, engaging homework, and support made the learning process manageable for all. The course structure was commended for guiding even those new to programming through advanced and interesting projects. Enrolling in the full specialization was recommended, emphasizing the importance of consistent daily practice. The use of Python 2 was acknowledged but deemed inconsequential, with an emphasis on the real-world application of learned concepts. Overall, the course was lauded for its unique approach, providing a solid foundation and practical understanding of Python.

Course #21: Python for Data Science and AI

Want to learn Python for data science and programming? This course is the perfect way to get started. It’s designed to take you from beginner to Python expert in just a few hours. The course is divided into four modules: Python basics, data structures, programming fundamentals, and working with data. You’ll also create a project to test your skills at the end.

This course can be applied to multiple fields, including data science, AI, and software development. Completing it can help you progress in programs like the Applied Data Science Specialization or IBM’s Applied AI and Data Science Professional Certificates.

In Python for Data Science, AI & Development, you’ll master Python, the go-to language for data science and software development. Learn Python basics, data structures, functions, classes, and libraries. You’ll also apply Python to tasks like data collection, web scraping, and automation with APIs. The course includes hands-on labs using Jupyter Notebooks, so you’ll practice your skills in real time.

By the end, you’ll earn a certificate to add to your resume or LinkedIn profile. The course is great for beginners and advanced learners alike, whether you’re looking to dive into data science, AI, or software development. Join now and level up your Python skills!

Offered by: IBM via Coursera

Instructed by: Joseph Santarcangelo (data scientist at IBM).

Price: free

Skills and Knowledge Imparted: 

1. Data science
2. Python programming

Difficulty Level: beginner

Duration and Total Lectures: 11 hours

Average User Rating: 4.6 (8,496 ratings)

Review:

Students who joined on this Python course praised its clarity and organization, deeming it one of the best in the introductory realm. The immediate accessibility of online labs, sparing them the hassle of dealing with installation and setup, was highly commended. The course stood out for its focus on essential data structures crucial for Data Science, avoiding unnecessary Python syntax. Despite the acclaim, a recurrent concern emerged about the final assignment’s clarity and relevance. Some expressed dissatisfaction with video quality, while others found the course structure less effective than its predecessor in the Data Science Specialization. Despite challenges, many acknowledged the course’s value for Python novices.