Free Programming and Data Analytics Resources 👇👇

✅ Data science and Data Analytics Free Courses by Google

https://developers.google.com/edu/python/introduction

https://grow.google/intl/en_in/data-analytics-course/?tab=get-started-in-the-field

https://cloud.google.com/data-science?hl=en

https://developers.google.com/machine-learning/crash-course

https://news.1rj.ru/str/datasciencefun/1371

🔍 Free Data Analytics Courses by Microsoft

1. Get started with microsoft dataanalytics
https://learn.microsoft.com/en-us/training/paths/data-analytics-microsoft/

2. Introduction to version control with git
https://learn.microsoft.com/en-us/training/paths/intro-to-vc-git/

3. Microsoft azure ai fundamentals
https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/

🤖 Free AI Courses by Microsoft

1. Fundamentals of AI by Microsoft

https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/

2. Introduction to AI with python by Harvard.

https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python

📚 Useful Resources for the Programmers

Data Analyst Roadmap
https://news.1rj.ru/str/sqlspecialist/94

Free C course from Microsoft
https://docs.microsoft.com/en-us/cpp/c-language/?view=msvc-170&viewFallbackFrom=vs-2019

Interactive React Native Resources
https://fullstackopen.com/en/part10

Python for Data Science and ML
https://news.1rj.ru/str/datasciencefree/68

Ethical Hacking Bootcamp
https://news.1rj.ru/str/ethicalhackingtoday/3

Unity Documentation
https://docs.unity3d.com/Manual/index.html

Advanced Javanoscript concepts
https://news.1rj.ru/str/Programming_experts/72

Oops in Java
https://nptel.ac.in/courses/106105224

Intro to Version control with Git
https://docs.microsoft.com/en-us/learn/modules/intro-to-git/0-introduction

Python Data Structure and Algorithms
https://news.1rj.ru/str/programming_guide/76

Free PowerBI course by Microsoft
https://docs.microsoft.com/en-us/users/microsoftpowerplatform-5978/collections/k8xidwwnzk1em

Data Structures Interview Preparation
https://news.1rj.ru/str/crackingthecodinginterview/309

🍻 Free Programming Courses by Microsoft

❯ JavaScript
http://learn.microsoft.com/training/paths/web-development-101/

❯ TypeScript
http://learn.microsoft.com/training/paths/build-javanoscript-applications-typenoscript/

❯ C#
http://learn.microsoft.com/users/dotnet/collections/yz26f8y64n7k07

Join @free4unow_backup for more free resources.

ENJOY LEARNING 👍👍

🚀 Backend Developer Roadmap 🚀

1. Foundation: 📚 Learn fundamental programming concepts such as variables, data types, and control flow. Master a programming language like Python, Java, or JavaScript.

2. Database Management: 🛢️ Understand database systems like SQL and NoSQL. Learn about relational databases (e.g., MySQL, PostgreSQL) and non-relational databases (e.g., MongoDB, Redis).

3. API Development: 🌐 Explore RESTful API principles and design patterns. Learn how to create, test, and document APIs using frameworks like Flask (Python), Spring Boot (Java), or Express (JavaScript).

4. Authentication & Authorization: 🔒 Dive into authentication methods like JWT (JSON Web Tokens) and OAuth. Understand authorization mechanisms to control access to resources securely.

5. Server-Side Frameworks: 🛠️ Get hands-on experience with backend frameworks such as Django (Python), Spring (Java), or Express (JavaScript). Learn how to build robust, scalable web applications.

6. Middleware & Caching: 🔄 Explore middleware concepts for request processing and handling. Implement caching strategies using tools like Redis to improve performance.

7. Testing & Debugging: 🐞 Master unit testing, integration testing, and end-to-end testing techniques. Use debugging tools and practices to identify and resolve issues effectively.

8. Security Best Practices: 🛡️ Learn about common security threats and how to mitigate them. Implement security measures such as input validation, encryption, and secure communication protocols.

9. Containerization & Deployment: 🚢 Familiarize yourself with containerization technologies like Docker and container orchestration platforms like Kubernetes. Learn how to deploy and manage applications in production environments.

10. Monitoring & Logging: 📊 Understand the importance of monitoring and logging for application health and performance. Explore tools like Prometheus, Grafana, and ELK stack for monitoring and log management.

11. Scalability & Performance Optimization: ⚙️ Learn techniques for scaling backend systems to handle increased loads. Optimize performance through efficient algorithms, caching, and database optimization.

12. Continuous Integration & Deployment (CI/CD): 🔄🚀 Implement CI/CD pipelines to automate testing, building, and deployment processes. Utilize tools like Jenkins, GitLab CI, or GitHub Actions for seamless integration and deployment.

13. Version Control: 📝 Embrace version control systems like Git for managing code changes and collaboration. Learn branching strategies and best practices for efficient team development.

14. Documentation: 📄 Document your code, APIs, and system architecture effectively. Clear documentation improves understanding, maintenance, and collaboration among team members.

15. Stay Updated: 📰 Keep abreast of new technologies, frameworks, and best practices in backend development. Engage with the community, attend conferences, and participate in online forums to stay current.

Angular 2+ Notes for Professionals book

🔗 Download this book

🖥 Get Started with Python

A good course on Python from Google.

More than 30 hours of relevant materials that will help you get into the topic.

Here the basic concepts of programming in Python and other features are discussed. Ideal if you have long wanted to try yourself in IT.

📌 Course