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Posted on • Originally published at madza.hashnode.dev

39 Programming Courses for Beginner Developers ๐Ÿ‘จโ€๐Ÿ’ป๐Ÿ‘ฉโ€๐Ÿ’ป

Coding skills are in high demand across industries in today's technologically driven world. Coding is the foundation for success in numerous fields, whether you want to be a web developer, data scientist, or AI engineer.

This collection aims to help you navigate the world of technology learning resources. I've compiled a comprehensive list to ensure that students have access to relevant resources ranging from foundational intro courses to more advanced specialties.

I've provided brief descriptions to give you a quick overview of each, as well as direct links for easier access. Hopefully, these will lead you to lots of exciting career opportunities on your path to success.


๐Ÿ“š Harvard University

1. Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

๐Ÿ‘‰ https://pll.harvard.edu/course/cs50-introduction-computer-science

2. Programming with Python

Learn how to read and write code as well as how to test and debug it.

Designed for students with or without prior programming experience whoโ€™d like to learn Python.

๐Ÿ‘‰ย https://cs50.harvard.edu/python/2022/

3. Web Programming with Python and JavaScript

This course dives more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.

๐Ÿ‘‰ https://pll.harvard.edu/course/cs50s-web-programming-python-and-javascript

4. Mobile App Development with React Native

Learn about mobile app development with React Native, a popular framework maintained by Facebook that enables cross-platform native apps using JavaScript without Java or Swift.

๐Ÿ‘‰ https://pll.harvard.edu/course/cs50s-mobile-app-development-react-native

5. Introduction to Game Development

Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokรฉmon, Angry Birds, and more.

๐Ÿ‘‰ https://pll.harvard.edu/course/cs50s-introduction-game-development

6. Introduction to Artificial Intelligence with Python

Learn to use machine learning in Python in this introductory course on artificial intelligence.

๐Ÿ‘‰ https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python


๐Ÿ“š IBM

7. R Programming Basics for Data Science

This course introduces you to R language fundamentals and covers common data structures, programming techniques, and how to manipulate data all with the help of the R programming language.

๐Ÿ‘‰ https://www.edx.org/course/r-programming-basics-for-data-science

8. Data Analytics Basics for Everyone

Learn the fundamentals of Data Analytics and gain an understanding of the data ecosystem, the process and lifecycle of data analytics, career opportunities, and the different learning paths you can take to be a Data Analyst.

๐Ÿ‘‰ https://www.edx.org/course/data-analytics-for-everyone

9. AI for Everyone: Master the Basics

Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning, and neural networks.

๐Ÿ‘‰ https://www.edx.org/course/artificial-intelligence-for-everyone

10. Cybersecurity Basics

This course gives you the background needed to understand the basics of Cybersecurity. You will explore information security from its history to a description of various cybercriminals and cybersecurity threats concluding with the tools needed to prevent an attack.

๐Ÿ‘‰ https://www.edx.org/course/cybersecurity-basics


๐Ÿ“š Microsoft

11. Data Science for Beginners

A 10-week, 20-lesson curriculum all about Data Science. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment.

๐Ÿ‘‰ https://microsoft.github.io/Data-Science-For-Beginners/#/

12. Machine Learning for Beginners

A 12-week, 26-lesson curriculum all about Machine Learning. In this curriculum, you will learn about what is sometimes called classic machine learning, using primarily Scikit-learn as a library.

๐Ÿ‘‰ https://github.com/microsoft/ML-For-Beginners

13. Artificial Intelligence for Beginners

A 12-week, 24-lesson curriculum all about Artificial Intelligence.

๐Ÿ‘‰ https://microsoft.github.io/AI-For-Beginners/

14. Create serverless applications

Learn how to leverage functions to execute server-side logic and build serverless architectures

๐Ÿ‘‰ https://learn.microsoft.com/en-us/training/paths/create-serverless-applications/

15. Microsoft Power Platform Fundamentals

Learn the business value and product capabilities of Microsoft Power Platform. Create simple Power Apps, connect data with Microsoft Dataverse, build a Power BI Dashboard, automate a process with Power Automate, and build a chatbot with Power Virtual Agents.

๐Ÿ‘‰ https://learn.microsoft.com/en-us/training/paths/power-plat-fundamentals/

16. Develop solutions that use Azure Cosmos DB

Learn how to create Azure Cosmos DB resources with the appropriate consistency levels, choose and create a partition key, and perform data operations by using the .NET SDK V3 for Azure Cosmos DB.

๐Ÿ‘‰ https://learn.microsoft.com/en-us/training/paths/az-204-develop-solutions-that-use-azure-cosmos-db/


๐Ÿ“š Udemy

17. Introduction To Python Programming

A Quick and Easy Intro to Python Programming.

๐Ÿ‘‰ https://www.udemy.com/course/pythonforbeginnersintro

18. Object Oriented Programming in Python

This course is focused on object-oriented Python features implementation. You will write classes and create objects.

Also, you will learn about data hiding, class variables, class methods, static methods, and many more.

๐Ÿ‘‰ https://www.udemy.com/course/object-oriented-python-programming/

19. Git & GitHub Crash Course

Learn how to create a Git repository, clone it, make changes, and submit changes to GitHub in less than 30 minutes.

๐Ÿ‘‰ https://www.udemy.com/course/git-and-github-crash-course-creating-a-repository-from-scratch

20. Learn Android Application Development

A beginner course on Android Application development.

๐Ÿ‘‰ https://www.udemy.com/course/learn-android-application-development-y

21. Welcome to Artificial Intelligence

Non-technical course - specifically created for AI/ML/DL aspirants. Gives insight about Road map to A.I.

๐Ÿ‘‰ https://www.udemy.com/course/road-map-to-artificial-intelligence-and-machine-learning/

22. Introduction to Game Development with Unity

Quick and simple video guide to get you up and running with Unity game development.

๐Ÿ‘‰ https://www.udemy.com/course/introduction-to-game-development-with-unity/

23. Introduction to Databases and SQL Querying

A step-by-step introduction to the concept of Databases and an Introduction to SQL Querying.

๐Ÿ‘‰ https://www.udemy.com/course/introduction-to-databases-and-sql-querying/

24. Database Design and Management

Learn how to design and manage a database with ERD, database generation, and reversal with Visual Paradigm.

๐Ÿ‘‰ https://www.udemy.com/course/database-design-and-management/


๐Ÿ“š DataCamp

25. Introduction to Statistics

Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved.

๐Ÿ‘‰ https://www.datacamp.com/courses/introduction-to-statistics

26. Introduction to ChatGPT

Learn how to use ChatGPT. Discover best practices for writing prompts and explore common business use cases for the powerful AI tool.

๐Ÿ‘‰ https://www.datacamp.com/courses/introduction-to-chatgpt

27. Understanding Data Visualization

An introduction to data visualization with no coding involved.

๐Ÿ‘‰ https://www.datacamp.com/courses/understanding-data-visualization

28. Understanding Data Engineering

Discover how data engineers lay the groundwork that makes data science possible. No coding is involved.

๐Ÿ‘‰ https://www.datacamp.com/courses/understanding-data-engineering

29. Web Scraping in Python

Learn to retrieve and parse information from the internet using the Python library Scrapy.

๐Ÿ‘‰ https://www.datacamp.com/courses/web-scraping-with-python

30. AI Fundamentals

Learn the fundamentals of AI. No programming experience is required.

๐Ÿ‘‰ https://www.datacamp.com/courses/ai-fundamentals

31. GitHub Concepts

Learn how to use GitHub's various features, navigate the interface, and perform everyday collaborative tasks.

๐Ÿ‘‰ https://www.datacamp.com/courses/github-concepts


๐Ÿ“š Linux Foundation

32. Introduction to Linux

Develop a good working knowledge of Linux using both the graphical interface and command line across the major Linux distribution families with this free training course.

๐Ÿ‘‰ https://training.linuxfoundation.org/training/introduction-to-linux/

33. Open Source Software Development: Linux for Developers

Start your open-source software (OSS) adventure today by learning the key concepts of developing open-source software and how to work productively in a Linux environment.

๐Ÿ‘‰ https://training.linuxfoundation.org/training/open-source-software-development-linux-for-developers-lfd107x/

34. Introduction to Node.js

This course helps you get started with Node.js, the most popular open-source JavaScript runtime.

The course allows you to discover ways in which Node.js helps in everyday computing scenarios, from service-mocking, rapid-prototyping, and real-time applications to Command Line Interfaces (CLI).

๐Ÿ‘‰ https://training.linuxfoundation.org/training/introduction-to-nodejs-lfw111/

35. Introduction to WebAssembly

Get a solid foundation on the WebAssembly runtime and its capabilities, and learn how and why WebAssembly has succeeded in bringing new programming languages to the web when others have failed.

๐Ÿ‘‰ https://training.linuxfoundation.org/training/introduction-to-webassembly-lfd133/

36. Introduction to Kubernetes

In the course, you will get an in-depth primer on Kubernetes for managing containerized applications.

๐Ÿ‘‰ https://training.linuxfoundation.org/training/introduction-to-kubernetes/

37. Introduction to Serverless on Kubernetes

Learn how to build serverless functions that can run on any cloud, without being restricted by limits on the execution duration, languages available, or the size of your code.

๐Ÿ‘‰ https://training.linuxfoundation.org/training/introduction-to-serverless-on-kubernetes-lfs157/

38. Blockchain: Understanding Its Uses and Implications

Understand what blockchain is and gain an appreciation for this transformative technology and its impact around the globe by analyzing use cases and future trends in technology, business, and enterprise products and institutions.

๐Ÿ‘‰ https://training.linuxfoundation.org/training/blockchain-understanding-its-uses-and-implications/

39. Introduction to DevOps and Site Reliability Engineering

Learn how to start transforming your organization using the principles and practices of DevOps in this course.

๐Ÿ‘‰ https://training.linuxfoundation.org/training/introduction-to-devops-and-site-reliability-engineering-lfs162/


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Top comments (9)

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brense profile image
Rense Bakker

So much focus on data science and backend :( not to say that those are bad, but honestly... More and more stuff happens with web technologies now and that trend doesn't show any signs of stopping. Historically things have been driven by backend technologies and there's still some merit in knowing a thing or two about those, but for new devs, I would focus much more on learning the web stack... JavaScript, HTTP, browser APIs... Maybe serverless architecture and functional programming...

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madza profile image
Madza

Thanks for the insight, mate! ๐Ÿ‘๐Ÿ’ฏ

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arjuncodess profile image
Arjun Vijay Prakash

This is huge! Thanks for sharing.

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madza profile image
Madza

My pleasure, thanks for checking it out! ๐Ÿ™๐Ÿ’–

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kehoecj profile image
Clayton Kehoe

Such an excellent and comprehensive list. Thanks for putting this together!

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madza profile image
Madza

My pleasure, Clayton! ๐Ÿ™๐Ÿ’– Thanks a lot for checking it out! ๐Ÿ‘๐Ÿ’ฏ

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meekworks profile image
Meekworks

thanks! for sharing

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madza profile image
Madza

My pleasure, you are welcome! ๐Ÿ™๐Ÿ’–