ArewaDS Official Website: https://arewadatascience.github.io

Welcome to the Arewa Data Science Academy Python Programming Fellowship. This comprehensive, free program aims to equip aspiring data scientists and machine learning engineers with essential Python skills. A strong foundation in Python programming will significantly enhance your ability to learn data science and machine learning effectively.

This course is designed around hands-on, bite-sized exercises inspired by "Atomic Habits" by James Clear, to help you build strong Python habits. By completing daily tasks, you'll develop a deeper understanding of Python and apply your knowledge to real-world problems. Remember, consistency is key!

• 📘 ArewaDS Python for Beginners - Cohort 3.0
• 🗂 Table of Contents
  • 💡 Interested in Joining the Fellowship?
  • 🌐 Contact & Community
• 🎉 Welcome to Cohort 3.0 ArewaDS Fellowship
  • 🎓 Graduation Requirements
  • 🎥 Fellowship Kickoff
• 🛠 Setup and Installation
  • Setup Guide
• 🐍 Python Programming
  • 📑 Python Basics & Data Structures
  • 🔄 Control Flow & Functions
  • ⚙️ Advanced Python Concepts
  • 📊 Python for Data Science

Applications for Cohort 3.0 have now closed, but you can still access our materials for self-study. Stay updated on future cohorts by following us on social media and joining our Telegram group for regular updates and fellowship insights.

• 📺 Python Programming YouTube Playlist
• 🌐 Website: Arewa Data Science Official Website
• 📧 Email: [email protected]
• Follow us on:
  • Twitter
  • Facebook
  • LinkedIn
  • YouTube
  • Telegram

Whether you're just starting or deepening your skills, our fellowship offers a structured path to master Python fundamentals and beyond. The fellowship has three main stages:

• Stage 1: Python Programming - Essential Python skills for data science and machine learning (this course).
• Stage 2: Data Science - Data handling, from cleaning to analyzing.
• Stage 3: Machine Learning - Introduction to machine learning techniques and Scikit-learn.

To graduate from the Arewa Data Science and Machine Learning Fellowship, fellows must meet the following criteria:

• Completion of all three stages: Fellows must complete each stage to receive the ArewaDS Certificate.
• Assignments and Blog Posts: Submit all required assignments and a blog post on Medium. Posts must meet quality standards set by mentors.
• Attendance: Maintain a 90% attendance rate for weekly office hours (Saturday and Sunday).
• Capstone Project: Complete a capstone project that demonstrates your ability to apply learned skills to a real-world problem, approved by the ArewaDS Team.

However, for each stage we will provide certificate of completion.

Find the list of accepted fellows, mentor details, recording of the kickoff event, and the slides used during the presentation below.

In this initial part, we’ll guide you through the essential tools needed for data science and machine learning, including installing VSCode, Jupyter Notebooks, Python virtual environments, Git for version control, GitHub for collaboration, Markdown, and creating a Medium blog post.

• 🔗 Introduction
• 🔗 Variables & Built-in Functions
• 🔗 Operators
• 🔗 Strings
• 🔗 Lists, Tuples, and Sets
• 🔗 Dictionaries

• 🔗 Conditionals
• 🔗 Loops
• 🔗 Functions & List Comprehension
• 🔗 Higher-Order Functions

• 🔗 Type Errors & Exception Handling
• 🔗 Regular Expressions
• 🔗 DateTime & File Handling
• 🔗 Modules & Virtual Environment

• 🔗 Package Management
• 🔗 Classes and Objects
• 🔗 Web Scraping & APIs
• 🔗 Statistics, NumPy, and Pandas

We’re excited to have you on board and can’t wait to see all the amazing things you’ll accomplish!