Wanna find out how to earn and learn to code at the same time? ๐ค๐ป
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88%
Yes ๐
12%
How ๐ค
๐4
Free Online courses with certificate from Microsoft
Python for beginners
https://learn.microsoft.com/en-us/training/paths/beginner-python/
Get started with Azure Cosmos DB for NoSQL
https://learn.microsoft.com/en-us/training/paths/get-started-azure-cosmos-db-sql-api/
Introduction to machine learning with Python and Azure Notebooks
https://learn.microsoft.com/en-us/training/paths/intro-to-ml-with-python/
Automate development tasks by using GitHub Actions
https://bit.ly/48E75xT
SQL, Power BI & AI Fundamentals
https://bit.ly/3ZL2820
Write your first code using C#
https://learn.microsoft.com/en-us/training/paths/get-started-c-sharp-part-1/
Join @coderslearning for more free resources
ENJOY LEARNING ๐๐
Python for beginners
https://learn.microsoft.com/en-us/training/paths/beginner-python/
Get started with Azure Cosmos DB for NoSQL
https://learn.microsoft.com/en-us/training/paths/get-started-azure-cosmos-db-sql-api/
Introduction to machine learning with Python and Azure Notebooks
https://learn.microsoft.com/en-us/training/paths/intro-to-ml-with-python/
Automate development tasks by using GitHub Actions
https://bit.ly/48E75xT
SQL, Power BI & AI Fundamentals
https://bit.ly/3ZL2820
Write your first code using C#
https://learn.microsoft.com/en-us/training/paths/get-started-c-sharp-part-1/
Join @coderslearning for more free resources
ENJOY LEARNING ๐๐
Docs
Browse all training - Training
Learn new skills and discover the power of Microsoft products with step-by-step guidance. Start your journey today by exploring our learning paths and modules.
๐20
Websites and platforms where you can practice Python projects, do hands-on coding, and gain valuable experience
1. w3schools
(https://www.w3schools.com/python): Offers interactive Python courses and coding exercises. Great for beginners.
2. Learn Python (https://learnpython.org/): Good resource for beginners
3. Freecodecamp (https://www.freecodecamp.org/learn/data-analysis-with-python/#data-analysis-with-python-course): Offers Python courses, including those from top universities. You can earn certificates upon completion.
4. Hackerrank (https://www.hackerrank.com/domains/tutorials/10-days-of-python): Offers Python tutorials and coding challenges to practice your skills.
5. Google (https://developers.google.com/edu/python): Free resource to learn python from Google.
6. Project Euler (https://projecteuler.net/): Provides mathematical and computational problems that can be solved with Python. Great for honing your programming skills.
7. Python.org (https://docs.python.org/3/tutorial/index.html): The official Python website has a tutorial section that includes exercises and examples to practice Python concepts.
8. GitHub (https://github.com/): Explore Python repositories, contribute to open-source projects, or start your own Python project to build a portfolio.
9. Kaggle (https://www.kaggle.com/): Offers Python datasets, competitions, and notebooks for data science and machine learning projects.
10. Udemy (https://bit.ly/45q7pxh): Amazing course to master Python in 100 days with coding challenges with certificate. Learn data science, automation, build websites, games and apps!
11. Real Python (https://realpython.com/): Offers tutorials and articles on various Python topics, including practical projects.
Remember that practice is key to mastering Python. Choose projects and exercises that align with your interests and goals, and don't hesitate to explore multiple platforms to diversify your learning experience.
1. w3schools
(https://www.w3schools.com/python): Offers interactive Python courses and coding exercises. Great for beginners.
2. Learn Python (https://learnpython.org/): Good resource for beginners
3. Freecodecamp (https://www.freecodecamp.org/learn/data-analysis-with-python/#data-analysis-with-python-course): Offers Python courses, including those from top universities. You can earn certificates upon completion.
4. Hackerrank (https://www.hackerrank.com/domains/tutorials/10-days-of-python): Offers Python tutorials and coding challenges to practice your skills.
5. Google (https://developers.google.com/edu/python): Free resource to learn python from Google.
6. Project Euler (https://projecteuler.net/): Provides mathematical and computational problems that can be solved with Python. Great for honing your programming skills.
7. Python.org (https://docs.python.org/3/tutorial/index.html): The official Python website has a tutorial section that includes exercises and examples to practice Python concepts.
8. GitHub (https://github.com/): Explore Python repositories, contribute to open-source projects, or start your own Python project to build a portfolio.
9. Kaggle (https://www.kaggle.com/): Offers Python datasets, competitions, and notebooks for data science and machine learning projects.
10. Udemy (https://bit.ly/45q7pxh): Amazing course to master Python in 100 days with coding challenges with certificate. Learn data science, automation, build websites, games and apps!
11. Real Python (https://realpython.com/): Offers tutorials and articles on various Python topics, including practical projects.
Remember that practice is key to mastering Python. Choose projects and exercises that align with your interests and goals, and don't hesitate to explore multiple platforms to diversify your learning experience.
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C Programming for Embedded Applications
Learn to write embedded software in C and deliver applications that are small, efficient, and fast.
Source-
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Learn to write embedded software in C and deliver applications that are small, efficient, and fast.
Source-
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Java Collections Framework + Generics, Lambdas & Stream API
Learn Java Collections Framework from scratch to PRO level with practical exercises
Rating โญ๏ธ: 4.4 out 5
Students ๐จโ๐ : 158,811
Duration โฐ : 5.5 hours on-demand video
๐งฎ 9 coding exercises
๐ 10 articles
Created by ๐จโ๐ซ: Andrii Piatakha, Learn IT University
๐ COURSE LINK
โ ๏ธ Its free for first 1000 enrollments only!
#Java #programming
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๐Join @coderslearning for more๐
Learn Java Collections Framework from scratch to PRO level with practical exercises
Rating โญ๏ธ: 4.4 out 5
Students ๐จโ๐ : 158,811
Duration โฐ : 5.5 hours on-demand video
๐งฎ 9 coding exercises
๐ 10 articles
Created by ๐จโ๐ซ: Andrii Piatakha, Learn IT University
๐ COURSE LINK
โ ๏ธ Its free for first 1000 enrollments only!
#Java #programming
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Udemy
Java Collections Framework + Generics, Lambdas & Stream API
<p>From this course, you can learn <strong>Java Collections Framework, together with Generics, Lambda Functions, Method References, and Stream API. </strong></p><p>There are a lot of other courses on this topic. <strong>So, why would you choose exactly thisโฆ
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30-day roadmap to learn Java up to an intermediate level.
This roadmap is designed for beginners, so adjust your pace as needed.
Week 1: Java Basics
*Day 1-2:*
- Day 1: Get Java installed on your computer and set up your development environment.
- Day 2: Learn about Java's history, its role in programming, and write your first "Hello, World!" program.
*Day 3-4:*
- Day 3: Study Java syntax, data types, and variables.
- Day 4: Understand operators and perform basic arithmetic operations.
*Day 5-7:*
- Day 5: Explore control flow with if-else statements and loops (for and while).
- Day 6: Dive into switch statements and understand how to handle user choices.
- Day 7: Practice writing small programs that use conditions and loops.
Week 2: Functions and Object-Oriented Programming
*Day 8-9:*
- Day 8: Learn about functions (methods) and how to define your own functions in Java.
- Day 9: Study function parameters, return types, and method overloading.
*Day 10-12:*
- Day 10: Understand the basics of object-oriented programming (OOP) in Java.
- Day 11: Learn about classes, objects, and constructors.
- Day 12: Explore encapsulation, inheritance, and polymorphism.
*Day 13-14:*
- Day 13: Study Java packages and access modifiers (public, private, protected).
- Day 14: Practice creating classes and objects in real-world scenarios.
Week 3: Data Structures and Collections
*Day 15-17:*
- Day 15: Dive into arrays in Java and understand their usage.
- Day 16: Study Java's collection framework and ArrayList.
- Day 17: Learn about iterating through collections using loops and iterators.
*Day 18-19:*
- Day 18: Explore other collection types like LinkedList and HashMap.
- Day 19: Understand when to use different collection types in Java.
*Day 20-21:*
- Day 20: Study exception handling in Java and how to deal with errors.
- Day 21: Practice working with try-catch blocks and handling exceptions effectively.
Week 4: Intermediate Topics and Projects
*Day 22-23:*
- Day 22: Study file handling in Java, including reading and writing files.
- Day 23: Create a small project that involves file operations.
*Day 24-26:*
- Day 24: Learn about multithreading and how to create and manage threads in Java.
- Day 25: Study Java's built-in libraries for networking and socket programming.
- Day 26: Work on a project that involves multithreading or networking.
*Day 27-28:*
- Day 27: Explore more advanced Java topics like JavaFX for GUI development or JDBC for database connectivity.
- Day 28: Work on a more complex project that combines your knowledge from the past weeks.
*Day 29-30:*
- Day 29: Review and revisit any topics you found challenging.
- Day 30: Continue building projects and exploring areas of Java that interest you.
Consider joining Java communities and forums to seek help and advice. Java is a versatile language with many applications, so your learning journey can continue well beyond this roadmap. Good luck!
This roadmap is designed for beginners, so adjust your pace as needed.
Week 1: Java Basics
*Day 1-2:*
- Day 1: Get Java installed on your computer and set up your development environment.
- Day 2: Learn about Java's history, its role in programming, and write your first "Hello, World!" program.
*Day 3-4:*
- Day 3: Study Java syntax, data types, and variables.
- Day 4: Understand operators and perform basic arithmetic operations.
*Day 5-7:*
- Day 5: Explore control flow with if-else statements and loops (for and while).
- Day 6: Dive into switch statements and understand how to handle user choices.
- Day 7: Practice writing small programs that use conditions and loops.
Week 2: Functions and Object-Oriented Programming
*Day 8-9:*
- Day 8: Learn about functions (methods) and how to define your own functions in Java.
- Day 9: Study function parameters, return types, and method overloading.
*Day 10-12:*
- Day 10: Understand the basics of object-oriented programming (OOP) in Java.
- Day 11: Learn about classes, objects, and constructors.
- Day 12: Explore encapsulation, inheritance, and polymorphism.
*Day 13-14:*
- Day 13: Study Java packages and access modifiers (public, private, protected).
- Day 14: Practice creating classes and objects in real-world scenarios.
Week 3: Data Structures and Collections
*Day 15-17:*
- Day 15: Dive into arrays in Java and understand their usage.
- Day 16: Study Java's collection framework and ArrayList.
- Day 17: Learn about iterating through collections using loops and iterators.
*Day 18-19:*
- Day 18: Explore other collection types like LinkedList and HashMap.
- Day 19: Understand when to use different collection types in Java.
*Day 20-21:*
- Day 20: Study exception handling in Java and how to deal with errors.
- Day 21: Practice working with try-catch blocks and handling exceptions effectively.
Week 4: Intermediate Topics and Projects
*Day 22-23:*
- Day 22: Study file handling in Java, including reading and writing files.
- Day 23: Create a small project that involves file operations.
*Day 24-26:*
- Day 24: Learn about multithreading and how to create and manage threads in Java.
- Day 25: Study Java's built-in libraries for networking and socket programming.
- Day 26: Work on a project that involves multithreading or networking.
*Day 27-28:*
- Day 27: Explore more advanced Java topics like JavaFX for GUI development or JDBC for database connectivity.
- Day 28: Work on a more complex project that combines your knowledge from the past weeks.
*Day 29-30:*
- Day 29: Review and revisit any topics you found challenging.
- Day 30: Continue building projects and exploring areas of Java that interest you.
Consider joining Java communities and forums to seek help and advice. Java is a versatile language with many applications, so your learning journey can continue well beyond this roadmap. Good luck!
โค7