Getting Started with Python for Data Science

Work hands-on with real datasets while learning Python for data science.

Ready to start your journey into Data Science? This course covers everything you need to build a solid foundation in best practices and workflows. You’ll get hands-on practice with real datasets while learning to program and analyze data in Python. Throughout the course, you’ll be working in Jupyter Notebook, an industry standard platform for interactively developing data analytics.


* Explore and summarize real datasets

* Sort and filter datasets to find relevant data to answer real data questions

* Transform raw data into analytics-ready datasets

• Exploring Data with Python: Get started exploring datasets using Python, pandas, and Jupyter Notebook.
• Lesson: Exploring Data with Python
• Project: Explore Laptop Repair Data with Python
• Quiz: Exploring Data with Python
• Sorting and Filtering Rows: Learn how to structure data by sorting rows and how to zoom in on important data using Boolean filters.
• Lesson: Sorting and Filtering Rows
• Project: Analyze Electric Vehicle Stations with Python
• Quiz: Sorting and Filtering Rows
• Cleaning and Transforming Columns: Learn how to transform raw columns of data into analytics-ready tables using column-based calculations.
• Lesson: Cleaning and Transforming Columns
• Project: Analyze Wage Data with Python
• Quiz: Cleaning and Transforming Columns
• Next Steps: You've completed Getting Started with Python for Data Science! What's next?
• Informational: Getting Started with Python for Data Science: Next Steps