Data Analysis & Data Science Training with Python in Cameroon
Data Analysis & Data Science Training with Python in Cameroon
This training program will teach you how to use Python for data analysis and visualization, leveraging powerful libraries such as Pandas, NumPy, Matplotlib, and Seaborn. You will also explore the basics of Machine Learning with Scikit-Learn to extract valuable insights from real-world datasets.
Programme
Public
PRE-REQUIS
OBJECTIF
Programme
Python Mastery Training Program – From Basics to Web Development & Data Analysis
Month 1: Python Fundamentals & Object-Oriented Programming (OOP)
Week 1-2: Python Basics – Programming Foundations
- Day 1-3: Setting up Python Development Environment (Python, VS Code, Jupyter Notebook)
- Day 4-6: Understanding Variables, Data Types, Operators, and Conditional Statements
- Day 7-10: Loops and Control Structures (for, while, if-elif-else)
- Day 11-14: Functions and Exception Handling (try-except, assertions)
- Day 15: Hands-on Project – Building an Interactive Python Script
Week 3-4: Object-Oriented Programming (OOP) & File Handling
- Day 1-5: Introduction to OOP – Classes, Objects, Methods, and Attributes
- Day 6-10: Advanced OOP Concepts – Inheritance, Polymorphism, and Encapsulation
- Day 11-14: File Handling – Reading and Writing CSV, JSON, and XML Files
- Day 15: Mini-Project – Managing Data Files with Python
Month 2: Web Development & Data Science with Python
Week 5-6: Web Development Using Flask & Django
- Day 1-5: Introduction to Flask – Building a Simple REST API
- Day 6-10: Introduction to Django – MVC Model and Database Management
- Day 11-14: Deploying a Web Application with Python
- Day 15: Final Project – Developing a Full-Stack Web Application
Week 7-8: Data Analysis with Pandas & NumPy
- Day 1-5: Data Manipulation with Pandas – DataFrames, Series, and Data Cleaning
- Day 6-10: Numerical Computation with NumPy and Data Visualization with Matplotlib & Seaborn
- Day 11-14: Real-World Case Studies – Financial Data Analysis, Trend Forecasting
- Day 15: Final Project – Analyzing and Visualizing a Dataset
Interactive Learning & Practical Exercises
- Live sessions led by experienced Python developers and industry professionals.
- Hands-on coding exercises, real-world use cases, and guided projects.
- Jupyter Notebook-based interactive lessons for a deeper learning experience.
- Regular assessments and quizzes to track progress.
- Q&A sessions and personalized feedback to enhance understanding.
This comprehensive Python training program will equip you with in-depth skills, covering everything from Python fundamentals to advanced web development and data analysis. You will work on real-world projects and gain industry-relevant expertise under the guidance of expert trainers.