- Data Science
- Programming Principles
- Python Programming
- Jupyter
- Data Analysis
- Data Preprocessing
- Exploratory Data Analysis
- Data Visualization
- NumPy
- Data Cleansing
- Data Import/Export
- Pandas (Python Package)
Data Analysis Using Python
Completed by Tim David Knappe
June 29, 2023
17 hours (approximately)
Tim David Knappe'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
