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Python AI Roadmap

Stage 1 – Learn Python Basics (Syntax, Data Types)
Stage 2 – Data Handling (Pandas, NumPy)
Stage 3 – Machine Learning (Scikit-Learn, Basic Models)
Stage 4 – Deep Learning (TensorFlow/PyTorch, Neural Networks)
Stage 5 – Build & Train ML Models
Stage 6 – Natural Language Processing (NLTK, spaCy)
Stage 7 – Model Deployment (Flask/FastAPI)
Stage 8 – AI Testing & Optimization

80 Python Interview Questions: https://t.me/pythonresourcestp/19

Learn Generative AI: https://t.me/AIResourcesTP/27

Python from scratch by University of Waterloo

0. Introduction
1. First steps
2. Built-in functions
3. Storing and using information
4. Creating functions
5. Booleans
6. Branching
7. Building better programs
8. Iteration using while
9. Storing elements in a sequence
10. Iteration using for
11. Bundling information into objects
12. Structuring data
13. Recursion

Link: https://open.cs.uwaterloo.ca/python-from-scratch/

Python Resources: https://t.me/pythonresourcestp

If I were to start Data Analytics in 2025 💫🚀

❯ Python
http://cs50.harvard.edu/python/2022/

https://www.freecodecamp.org/learn/data-analysis-with-python/

https://t.me/pythonresourcestp

❯ SQL
http://online.stanford.edu/courses/soe-ydatabases0005-databases-relational-databases-and-sql

https://www.freecodecamp.org/learn/relational-database/

https://topmate.io/learning_resources/1456762

https://tinyurl.com/4rwc9v5a

❯ Excel
https://excel-practice-online.com/

https://t.me/dataanalysisresourcestp/35

❯ Power BI
https://www.freecodecamp.org/learn/data-visualization/

https://t.me/dataanalysisresourcestp/7

https://www.workout-wednesday.com/power-bi-challenges/

❯ Tableau
https://t.me/dataanalysisresourcestp/30

https://www.tableau.com/learn/training

❯ Mathematics (incl. Statistics)
ocw.mit.edu/search/?d=Mathematics&s=department_course_numbers.sort_coursenum

http://www.sherrytowers.com/cowan_statistical_data_analysis.pdf

❯ Data Science
https://t.me/datascienceresourcestp/25

cognitiveclass.ai/courses/data-science-101

http://kaggle.com/learn

https://t.me/datascienceresourcestp/25

❯ Machine Learning
http://developers.google.com/machine-learning/crash-course

https://www.freecodecamp.org/learn/machine-learning-with-python/

❯ Artificial Intelligence
https://t.me/airesourcestp

https://udacity.com/course/intro-to-artificial-intelligence--cs271

introtodeeplearning.com

https://t.me/mlresourcestp

❯ Data Engineering
https://tinyurl.com/fadtk827

https://t.me/datascienceresourcestp/23

Join for more free resources

Like for more ❤️

ENJOY LEARNING👍👍

Useful websites to practice and enhance your Data Analytics skills

1. SQL

https://mode.com/sql-tutorial/introduction-to-sql

https://t.me/sqlresourcestp/10

2. Python

https://www.learnpython.org/

https://t.me/pythonresourcestp/6

https://www.geeksforgeeks.org/python-programming-language/learn-python-tutorial

3. R

https://www.datacamp.com/courses/free-introduction-to-r

4. Data Structures

https://leetcode.com/study-plan/data-structure/

https://t.me/techpsyche/241

https://www.udacity.com/course/data-structures-and-algorithms-in-python--ud513

5. Data Visualization

https://www.freecodecamp.org/learn/data-visualization/

https://t.me/dataanalysisresourcestp/47

https://www.tableau.com/learn/training/20223

https://www.workout-wednesday.com/power-bi-challenges/

6. Excel

https://excel-practice-online.com/

https://t.me/dataanalysisresourcestp/36

https://www.w3schools.com/EXCEL/index.php

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Python Roadmap

12 Essential Skills For 2025

Python Interviews

Master Python programming in 15 days with Free Resources 😄👇

Days 1-3: Introduction to Python
- Day 1: Start by installing Python on your computer.
- Day 2: Learn the basic syntax and data types in Python (variables, numbers, strings).
- Day 3: Explore Python's built-in functions and operators.

Days 4-6: Control Structures
- Day 4: Understand conditional statements (if, elif, else).
- Day 5: Learn about loops (for and while) and iterators.
- Day 6: Work on small projects to practice using conditionals and loops.

Days 7-9: Data Structures
- Day 7: Learn about lists and how to manipulate them.
- Day 8: Explore dictionaries and sets.
- Day 9: Understand tuples and lists comprehensions.

Days 10-12: Functions and Modules
- Day 10: Learn how to define functions in Python.
- Day 11: Understand scope and global vs. local variables.
- Day 12: Explore Python's module system and create your own modules.

Days 13-15: Intermediate Concepts
- Day 13: Work with file handling and I/O operations.
- Day 14: Learn about exceptions and error handling.
- Day 15: Explore more advanced topics like object-oriented programming and libraries such as NumPy, pandas, and Matplotlib.

FREE RESOURCES TO LEARN PYTHON 👇

Microsoft course for Python: https://learn.microsoft.com/en-us/training/paths/beginner-python/

Python for data Science and Machine Learning: https://t.me/pythonresourcestp/39

Python Interview Questions & Answers: https://t.me/pythonresourcestp/40

Harvard course for Python: http://cs50.harvard.edu/python/2022/

Freecodecamp Python course with certificate: https://www.freecodecamp.org/learn/data-analysis-with-python/#data-analysis-with-python-course

Join https://t.me/techpsyche for more free courses

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GLBC in UK is Inviting Applications For: 2025 Global Leadership & Business Certification, Cambridge 

- Type: Training
- Location: Clare College, Cambridge
- Duration: 5 Days
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- Deadline: 18th April, 2025

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Scholarship

York University Graduate Scholarships for International Students (2025/2026)

York University, Canada is offering various scholarships for international students.

1. International Entrance Scholarships ($20k - $45k per year)
2. York Science Scholars Award ($10,000)
3. Ontario Graduate Scholarship ($15,000 per year)
4. International Student Emergency Bursary

How to Apply:
https://kenyatrends.co.ke/york-university-graduate-scholarships-for-international-students-2025-2026/

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Python is an incredibly versatile language! Check out some of its top uses:

1️⃣ Web Development - Build secure, scalable websites with Django and Flask.
2️⃣ Data Science - Analyze data and create visualizations with Pandas and Matplotlib.
3️⃣ Machine Learning - Develop AI and smart apps with TensorFlow and Scikit-Learn.
4️⃣ Automation - Automate repetitive tasks to save time.
5️⃣ Game Development - Create games with Pygame.
6️⃣ Cybersecurity - Build tools for penetration testing and security analysis.
7️⃣ Scientific Research - Perform complex simulations and analysis in various fields.

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://tinyurl.com/bdcsnxmf

Write your first code using C#
https://learn.microsoft.com/en-us/training/paths/get-started-c-sharp-part-1/

Join for more free resources
https://t.me/techpsyche

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