03 - Setting up the Environment

04 - Python Basics

05 - Fundamentals for Coding in Python

06 - Mathematics for Python

07 - NumPy Basics

08 - Pandas - Basics - Part 01

08 - Pandas - Basics - Part 02

10 - Working with Text Data

11 - Must-Know Python Tools

12 - Data GatheringData Collection

13 - APIs (POST requests are not needed for this course)

14 - Data Cleaning and Data Preprocessing

15 - pandas Series

17 - NumPy Fundamentals

18 - NumPy DataTypes

19 - Working with Arrays

20 - Generating Data with NumPy

21 - Statistics with NumPy

24 - The Absenteeism Exercise - Introduction

27 - Conclusion

Tech Stack Roadmaps by Career Path 🛣️

What to learn depending on the job you’re aiming for 👇

1. Frontend Developer
❯ HTML, CSS, JavaScript
❯ Git & GitHub
❯ React / Vue / Angular
❯ Responsive Design
❯ Tailwind / Bootstrap
❯ REST APIs
❯ TypeScript (Bonus)
❯ Testing (Jest, Cypress)
❯ Deployment (Netlify, Vercel)

2. Backend Developer
❯ Any language (Node.js, Python, Java, Go)
❯ Git & GitHub
❯ REST APIs & JSON
❯ Databases (SQL & NoSQL)
❯ Authentication & Security
❯ Docker & CI/CD Basics
❯ Unit Testing
❯ Frameworks (Express, Django, Spring Boot)
❯ Deployment (Render, Railway, AWS)

3. Full-Stack Developer
❯ Everything from Frontend + Backend
❯ MVC Architecture
❯ API Integration
❯ State Management (Redux, Context API)
❯ Deployment Pipelines
❯ Git Workflows (PRs, Branching)

4. Data Analyst
❯ Excel, SQL
❯ Python (Pandas, NumPy)
❯ Data Visualization (Matplotlib, Seaborn)
❯ Power BI / Tableau
❯ Statistics & EDA
❯ Jupyter Notebooks
❯ Business Acumen

5. DevOps Engineer
❯ Linux & Shell Scripting
❯ Git & GitHub
❯ Docker & Kubernetes
❯ CI/CD Tools (Jenkins, GitHub Actions)
❯ Cloud (AWS, GCP, Azure)
❯ Monitoring (Prometheus, Grafana)
❯ IaC (Terraform, Ansible)

6. Machine Learning Engineer
❯ Python + Math (Linear Algebra, Stats)
❯ Scikit-learn, Pandas, NumPy
❯ Deep Learning (TensorFlow/PyTorch)
❯ ML Lifecycle (Train, Tune, Deploy)
❯ Model Evaluation
❯ MLOps (MLflow, Docker, FastAPI)

React with ❤️ if you found this helpful — content like this is rare to find on the internet!

Credits: https://t.me/lesformations

ENJOY LEARNING 👍👍