- Data Analysis
- Data Validation
- Scatter Plots
- Data Manipulation
- Pivot Tables And Charts
- Programming Principles
- NumPy
- Data Import/Export
- Histogram
- Data Cleansing
- Jupyter
- Pandas (Python Package)
Data Analysis Using Python
Completed by Ugochukwu Lumanze
October 17, 2022
17 hours (approximately)
Ugochukwu Lumanze's account is verified. Coursera certifies their successful completion of Data Analysis Using Python
What you will learn
Apply basic data science techniques using Python
Understand and apply core concepts like Data Frames and joining data, and use data analysis libraries like pandas, numpy, and matplotlib
Demonstrate how to load, inspect, and query real-world data, and answer basic questions about that data
Analyze data further by applying learned skills in data aggregation and summarization, as well as basic data visualization
Skills you will gain
