Python for Data Science

Course Overview

Python has become the dominant language of data science, powering everything from exploratory data analysis to machine learning pipelines at the world's leading organizations.

This 7-day course provides a comprehensive, hands-on foundation in Python for data science — designed specifically for professionals who need practical skills, not theoretical abstraction. You will progress from Python syntax through the full data science workflow.

By course end, you will have built a complete data science project — from raw data to insights — that you can showcase to employers and clients as evidence of your capability.

What You Will Learn

• Python fundamentals: variables, data types, control flow, functions, and modules
• Work with Jupyter Notebooks for interactive, reproducible data analysis
• Use NumPy for numerical computing and array manipulation
• Master Pandas for data loading, cleaning, filtering, grouping, and merging
• Handle missing data, duplicates, and data type conversion with confidence
• Create compelling visualizations with Matplotlib and Seaborn
• Perform exploratory data analysis (EDA) on real-world datasets
• Conduct statistical analysis: correlation, regression, and hypothesis tests
• Introduction to Scikit-learn: linear regression, classification, and model evaluation
• Web scraping basics and API data retrieval
• Build and present a complete end-to-end data science project

Who Should Enroll

• Professionals who want to transition into data science and analytics
• Researchers and analysts seeking to automate data workflows
• Software developers looking to add data science skills to their toolkit
• Graduates wanting to enter the data science job market
• Anyone currently using Excel or Stata who wants to scale their data capabilities
• Entrepreneurs and product managers who work closely with data teams

Requirements

• •No prior Python or programming experience required
• •Basic computer literacy (file management, installing software)
• •Laptop with Anaconda/Python installed (we provide setup guidance)
• •Motivation and willingness to practice outside of class hours