Introduction to NumPy

Learn how to work with data using the NumPy library.


  • Learn how vectorized operations make your code faster.
  • Learn how to select data from NumPy ndarrays.
  • Learn how to analyze data using NumPy methods.

Mission Outline

1. Understanding Vectorization
2. NYC Taxi-Airport Data
3. Understanding NumPy ndarrays
4. Selecting and Slicing Rows and Items from ndarrays
5. Selecting Columns and Custom Slicing ndarrays
6. Vector Math
7. Arithmetic Numpy Functions
8. Calculating Statistics For 1D ndarrays
9. Calculating Statistics For 2D ndarrays
10. Adding Rows and Columns to ndarrays
11. Sorting ndarrays
12. Analyzing Trips with High Average Speeds
13. Next Steps
14. Takeaways

Course Info:

Pandas and NumPy Fundamentals


The average completion time for this course is 10-hours.This course requires a basic subscription and includes five missions and one guided project.  It is the 3rd course in the Data Analyst in Python path and Data Scientist in Python path.


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