Free Programming 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://t.me/datascienceresourcestp/52

🔍 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://t.me/dataanalysisresourcestp/48

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://t.me/pythonresourcestp/39

Ethical Hacking Course
https://t.me/zerotrusthackers/18

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

Advanced Javascript concepts
https://t.me/javascriptresourcestp/446

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

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

Data Structures Interview Preparation
https://t.me/techpsyche/501

🍻 Free Programming Courses by Microsoft

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

❯ TypeScript
http://learn.microsoft.com/training/paths/build-javascript-applications-typescript/

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

Join for more free resources.
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ENJOY LEARNING 👍👍

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Remote UI/UX Designer Needed at SPIRALYZE

Company: SPIRALYZE
Job Type: Fulltime

Required skills:
* Think in UI design: 3+ years of UI/UX design experience.
* Excel in UI with bonus UX experience.
* Expert in Figma: Create style libraries and handover files.
* Familiarity with HTML, CSS, and responsive frameworks.
* Stay updated on UI/UX trends.
* Overlap with EST (New York time) for 4+ hours.
* Excellent communication skills.

Apply Here:
https://kenyatrends.co.ke/remote-ui-ux-designer-needed-at-spiralyze/

Remote Software Engineer (Frontend, Backend, or Full stack) Job at Subscript

You'll work on:
* Backend: database design and implementation, complex data management problems, API design and implementation, writing tests
* Frontend: building features in our react app, HTML/CSS + styled components, building amazing user experiences, writing tests
* Frontend and backend: building and iterating on our product, collaborating with designers and founders, and making a product that users will love.

Apply Here:
https://kenyatrends.co.ke/remote-software-engineer-frontend-backend-or-full-stack-job-at-subscript/

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AI Tools

Understanding Essential Charts:

1️⃣ Line Charts: These are your go-to for tracking trends over time.

2️⃣ Bar Charts: Perfect for comparing different categories, like sales in different regions or the popularity of different products.

3️⃣ Pie Charts: These are all about showing proportions.

4️⃣ Scatter Plots: If you're trying to find relationships between variables, scatter plots are your friend.

5️⃣ Histograms: how data is distributed, histograms are your tool of choice.

Data Visualization Tools: https://t.me/dataanalysisresourcestp/70

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Daily Git Survival Guide

2025 Google Conference Scholarships

Perks:

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* Conference registration
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* Be a full-time student enrolled with a recognized university in Africa OR Asia Pacific(APAC) who is in need of conference travel funds.
* If you're Non-African, also check the provided link for appropriate option.

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Here are some interview preparation tips 👇👇

Technical Interview
1. Review Core Concepts:
  - Data Structures: Be comfortable with LinkedLists, Trees, Graphs, and their representations.
  - Algorithms: Brush up on searching and sorting algorithms, time complexities, and common algorithms (like Dijkstra’s or A*).
  - Programming Languages: Ensure you understand the language you are most comfortable with (e.g., C++, Java, Python) and know its standard library functions.

2. Practice Coding Problems:
  - Utilize platforms like LeetCode, HackerRank, or CodeSignal to practice medium-level coding questions. Focus on common patterns and problem-solving strategies.

3. Mock Interviews: Conduct mock technical interviews with peers or mentors to build confidence and receive feedback.

Personal Interview
1. Prepare Your Story:
  - Outline your educational journey, achievements, and any relevant projects. Emphasize experiences that demonstrate leadership, teamwork, and problem-solving skills.
  - Be ready to discuss your challenges and how you overcame them.

2. Articulate Your Goals:
  - Be clear about why you want to join the program and how it aligns with your career aspirations. Reflect on what you hope to gain from the experience.

- Focus on Fundamentals:
Be thorough with basic subjects like Operating Systems, Networking, OOP, and Databases. Clear concepts are key for technical interviews.

2. Common Interview Questions:

DSA:
- Implement various data structures like Linked Lists, Trees, Graphs, Stacks, and Queues.
- Understand searching and sorting algorithms: Binary Search, Merge Sort, Quick Sort, etc.
- Solve problems involving HashMaps, Sets, and other collections.

Sample DSA Questions
- Reverse a linked list.
- Find the first non-repeating character in a string.
- Detect a cycle in a graph.
- Implement a queue using two stacks.
- Find the lowest common ancestor in a binary tree.
 
3. Key Topics to Focus On

DSA:
- Arrays, Strings, Linked Lists, Trees, Graphs
- Recursion, Backtracking, Dynamic Programming
- Sorting and Searching Algorithms
- Time and Space Complexity

Core Subjects
- Operating Systems: Concepts like processes, threads, deadlocks, concurrency, and memory management.
- Database Management Systems (DBMS): Understanding SQL, Normalization, and database design.
- Object-Oriented Programming (OOP): Know about inheritance, polymorphism, encapsulation, and design patterns.
 
5. Tips
- Optimize Your Code: Write clean, optimized code. Discuss time and space complexities during interviews.
- Review Your Projects: Be ready to explain your past projects, the challenges you faced, and the technologies you used.....

Best Programming Resources👇
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Coding and Aptitude Round before interview👇
https://t.me/techpsyche/496

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Java Backend Development is a highly in-demand and well-paying job in the tech industry.

If you're looking to become an excellent Java Developer, here's a roadmap that includes various online resources:

1. Core Java

First comes the fundamentals of Java Programming, here you will understand OOP concepts, conditional statements, collection frameworks,and many more.

https://youtube.com/playlist?list=PLd3UqWTnYXOnjGmyjD3zbIkyLXP15-6w0&si=UYvQhVNlZQYCH1Il

2. JDBC

A  Java API that allows you to access tabular data, especially data stored in a relational database.

https://youtube.com/playlist?list=PLsyeobzWxl7rU7Jz3zDRpqB-EODzBbHOI&si=Cc45vpeRXGIUKbfn

3. SQL

Get a good understanding of SQL, which is necessary to work with JDBC to write queries.

https://youtu.be/7S_tz1z_5bA

https://t.me/sqlresourcestp

4. JSP + Servlet

Learn JSP and Servlet, which are used for writing web pages for web applications and handling client requests on the server-side.

https://youtube.com/playlist?list=PLE0F6C1917A427E96&si=TQeOIgluG3R29622

5. Spring Framework

5.1. Core Spring Framework

https://youtu.be/GB8k2-Egfv0?si=dHYp6rFkGVl9RMt8

5.2. Spring REST & Spring DATA

https://youtu.be/GwYUjzPrQTM?si=hJfmpukii2WnofxQ

5.3. Spring Security
Spring Security is the primary choice for implementing application-level security

https://youtu.be/sm-8qfMWEV8?si=uMkpBxOUXIptZif9

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6. Hibernate Framework

Hibernate is a Java framework that simplifies the development of Java application to interact with the database. It is an open source, lightweight, ORM (Object Relational Mapping) tool.

https://youtu.be/Yv2xctJxE-w?si=q4FIOBxxX-Y0Qj5q

7. Spring Boot

Spring Boot is the ultimate framework and Makes Java Web Development less boilerplate, it can help you make production-ready applications in no time.

https://youtu.be/msXL2oDexqw?si=XB19MCCECAggcB18

8. Basic DevOps

8.1. Learn to Use AWS & Deploy Java Apps

https://youtube.com/playlist?list=PLVz2XdJiJQxxurKT1Dqz6rmiMuZNdClqv&si=bJyg0Np11PkGDIKO

8.2. Learn Basic Docker:

https://youtu.be/p28piYY_wv8?si=Xoqje7MJad1NeE9g

8.3. Learn Basic Kubernetes:

https://youtu.be/rTNR7vDQDD8?si=dgzwxQof7yGHUP4n

8.4. Deploy Spring Boot App on Kubernetes:

https://youtu.be/EZolJ4lNiYc?si=Kw09qKwMp_LxHTvw

9. Basic of git and GitHub
https://youtu.be/apGV9Kg7ics?si=MHtCgD8o7XqpU4W3

10. Java Microservices

https://youtu.be/tuJqH3AV0e8?si=1jjrWl4l4uYGrE5i

14. Java Quick revision for Interviews

https://youtu.be/oYXivKMSEqM?si=tngbZrvgbAwsShEb

15. Spring JMS(java messaging services)

JMS is a standard Java API that allows a Java application to send messages to another application.

https://youtube.com/playlist?list=PLmCsXDGbJHdibOx6axScPiuHA8ftsrmut&si=J0qjBSbB4GDCeTOv

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Machine Learning Algorithms

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- Artificial Intelligence (AI)
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Interviewer: "What do you know about our company?"
Candidate: "I think you do something related to tech?"

Big mistake! A vague or uncertain response makes you look unprepared & disinterested. Employers want to see that you’ve taken the time to understand their company & why you’d be a great fit.

What NOT to say:
❌ "I don’t know much, but I’m eager to learn" (shows a lack of preparation)
❌ "I just saw the job posting & applied" (feels random & unintentional)
❌ "It’s a big company, so I thought it’d be a good opportunity" (too generic & uninformed)

How to IMPRESS with your answer:
✔️ Shows research & enthusiasm
"Your company is a leader in [industry/product/service] & I was excited to learn about your recent [mention an achievement, innovation or project]. I really admire your commitment to [company value or mission] & that’s one of the reasons I’m drawn to this opportunity"

✔️ Demonstrates genuine interest
"From what I’ve read, your company stands out for [unique aspect: innovation, company culture, impact]. One thing that caught my attention was [specific initiative or milestone] & I’d love the opportunity to contribute to something similar"

✔️ Aligns your goals with the company’s vision
"I’ve been following your company’s growth & I truly respect how you [mention key values, industry influence, sustainability efforts, etc.]. The way you [specific company approach] aligns with my own professional goals & I’m excited about the potential to be part of your team"

Take a few minutes to research before your interview, check their website, social media, recent news & LinkedIn updates. A well-prepared candidate always stands out!

Roadmap to Master Machine Learning in 2025

Technologies Used by Netflix

Here are 10 popular programming languages based on versatile, widely-used, and in-demand languages:

1. Python – Ideal for beginners and professionals; used in web development, data analysis, AI, and more.

2. Java – A classic language for building enterprise applications, Android apps, and large-scale systems.

3. C – The foundation for many other languages; great for understanding low-level programming concepts.

4. C++ – Popular for game development, competitive programming, and performance-critical applications.

5. C# – Widely used for Windows applications, game development (Unity), and enterprise software.

6. Go (Golang) – A modern language designed for performance and scalability, popular in cloud services.

7. Rust – Known for its safety and performance, ideal for system-level programming.

8. Kotlin – The preferred language for Android development with modern features.

9. Swift – Used for developing iOS and macOS applications with simplicity and power.

10. PHP – A staple for web development, powering many websites and applications.

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Python Learning Plan in 2025

|-- Week 1: Introduction to Python
| |-- Python Basics
| | |-- What is Python?
| | |-- Installing Python
| | |-- Introduction to IDEs (Jupyter, VS Code)
| |-- Setting up Python Environment
| | |-- Anaconda Setup
| | |-- Virtual Environments
| | |-- Basic Syntax and Data Types
| |-- First Python Program
| | |-- Writing and Running Python Scripts
| | |-- Basic Input/Output
| | |-- Simple Calculations
|
|-- Week 2: Core Python Concepts
| |-- Control Structures
| | |-- Conditional Statements (if, elif, else)
| | |-- Loops (for, while)
| | |-- Comprehensions
| |-- Functions
| | |-- Defining Functions
| | |-- Function Arguments and Return Values
| | |-- Lambda Functions
| |-- Modules and Packages
| | |-- Importing Modules
| | |-- Standard Library Overview
| | |-- Creating and Using Packages
|
|-- Week 3: Advanced Python Concepts
| |-- Data Structures
| | |-- Lists, Tuples, and Sets
| | |-- Dictionaries
| | |-- Collections Module
| |-- File Handling
| | |-- Reading and Writing Files
| | |-- Working with CSV and JSON
| | |-- Context Managers
| |-- Error Handling
| | |-- Exceptions
| | |-- Try, Except, Finally
| | |-- Custom Exceptions
|
|-- Week 4: Object-Oriented Programming
| |-- OOP Basics
| | |-- Classes and Objects
| | |-- Attributes and Methods
| | |-- Inheritance
| |-- Advanced OOP
| | |-- Polymorphism
| | |-- Encapsulation
| | |-- Magic Methods and Operator Overloading
| |-- Design Patterns
| | |-- Singleton
| | |-- Factory
| | |-- Observer
|
|-- Week 5: Python for Data Analysis
| |-- NumPy
| | |-- Arrays and Vectorization
| | |-- Indexing and Slicing
| | |-- Mathematical Operations
| |-- Pandas
| | |-- DataFrames and Series
| | |-- Data Cleaning and Manipulation
| | |-- Merging and Joining Data
| |-- Matplotlib and Seaborn
| | |-- Basic Plotting
| | |-- Advanced Visualizations
| | |-- Customizing Plots
|
|-- Week 6-8: Specialized Python Libraries
| |-- Web Development
| | |-- Flask Basics
| | |-- Django Basics
| |-- Data Science and Machine Learning
| | |-- Scikit-Learn
| | |-- TensorFlow and Keras
| |-- Automation and Scripting
| | |-- Automating Tasks with Python
| | |-- Web Scraping with BeautifulSoup and Scrapy
| |-- APIs and RESTful Services
| | |-- Working with REST APIs
| | |-- Building APIs with Flask/Django
|
|-- Week 9-11: Real-world Applications and Projects
| |-- Capstone Project
| | |-- Project Planning
| | |-- Data Collection and Preparation
| | |-- Building and Optimizing Models
| | |-- Creating and Publishing Reports
| |-- Case Studies
| | |-- Business Use Cases
| | |-- Industry-specific Solutions
| |-- Integration with Other Tools
| | |-- Python and SQL
| | |-- Python and Excel
| | |-- Python and Power BI
|
|-- Week 12: Post-Project Learning
| |-- Python for Automation
| | |-- Automating Daily Tasks
| | |-- Scripting with Python
| |-- Advanced Python Topics
| | |-- Asyncio and Concurrency
| | |-- Advanced Data Structures
| |-- Continuing Education
| | |-- Advanced Python Techniques
| | |-- Community and Forums
| | |-- Keeping Up with Updates
|
|-- Resources and Community
| |-- Online Courses (Coursera, edX, Udemy)
| |-- Books (Automate the Boring Stuff, Python Crash Course)
| |-- Python Blogs and Podcasts
| |-- GitHub Repositories
| |-- Python Communities (Reddit, Stack Overflow)

Python Quick Notes👇
https://t.me/pythonresourcestp/38

71 Python Projects with Source Code👇
https://t.me/pythonresourcestp/36

Python Course by University of Waterloo
https://t.me/pythonresourcestp/29

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Hope it helps :)

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