NumPy and Pandas Basics for Future Data Scientists
Completed by David Crawford
April 25, 2026
19 hours (approximately)
David Crawford's account is verified. Coursera certifies their successful completion of NumPy and Pandas Basics for Future Data Scientists
What you will learn
Create and manipulate NumPy arrays, including performing basic arithmetic operations and handling missing data.
Apply advanced NumPy techniques such as broadcasting, masking, and aggregation functions.
Construct and modify pandas DataFrames and Series, use methods to filter and inspect data, and handle missing data.
Utilize pandas for data aggregation, summary statistics, and dataframe merging to analyze a real dataset.
Skills you will gain
- Category: Data Preprocessing
- Category: Critical Thinking
- Category: Numerical Analysis
- Category: Data Analysis
- Category: Debugging
