[Beta] Python for Data Science: Working with Data

Learn loops, control flow, and functions while working hands-on to merge, aggregate, and analyze real-world datasets.

Ready to take the next step in learning data science? In this course, you'll get hands-on practice with standard data techniques like merges, groupbys, and pivot tables while learning Python tools like loops, control flow, and functions. During the course, you’ll analyze four real datasets in Jupyter Notebook, an industry standard platform for interactively developing data analytics.



### Skills You'll Gain
* Write loops and functions in Python
* Write and apply custom functions
* Merge related datasets together
* Summarize data with groupby and pivots

• Merging and Aggregating Data: Merge datasets and aggregate data with pandas.
• Lesson: Merging Datasets
• Lesson: Aggregating Data
• Project: Analyze an A/B Test with Python
• Quiz: Merging and Aggregating Data
• Handling Complex Datasets: Use loops and control flow to clean and prep data.
• Lesson: Handling Complex Datasets
• Project: Analyzing High-Speed Railways with Python
• Quiz: Handling Complex Data
• Custom Data Methods: Write Python functions and apply them to DataFrames.
• Lesson: Custom Data Methods
• Project: Analyze Internet Use with Python
• Quiz: Custom Data Methods
• Next Steps: You’ve completed Getting Started with Python for Data Science! What’s next?
• Informational: Python for Data Science: Working with Data Next Steps