Learn fundamental Python programming including variables, data types, conditional statements, loops, and functions. Master the building blocks essential for data science applications.
Essential Python Libraries
Explore NumPy for numerical computing, Matplotlib for data visualization, and Pandas for data manipulation. Gain hands-on experience with the most important data science tools.
Practical Programming Skills
Develop the ability to write efficient Python scripts for data analysis. Practice with real-world examples and build confidence in problem-solving using code.
Learning Outcomes
Module Summary Duration: 4-6 weeks
By completing this foundational module, you will:
Master Python programming structure and learn how to write efficient programs for data analysis
Understand core Python concepts including syntax, functions, and conditional statements for problem-solving
Acquire essential Python skills to transition into specialized branches like Machine Learning and Data Science
Gain proficiency with key libraries (NumPy, Pandas, Matplotlib) to write scripts for data manipulation and analysis
