- Web Scraping
- Matplotlib
- Data Visualization
- NumPy
- JSON
- Python Programming
- Data Science
- Data Cleansing
- Pandas (Python Package)
- Data Visualization Software
- Data Manipulation
- Jupyter
Basic Data Processing and Visualization
Completed by Adesola Samuel
July 29, 2020
10 hours (approximately)
Adesola Samuel's account is verified. Coursera certifies their successful completion of Basic Data Processing and Visualization
What you will learn
Develop data strategy and process for how data will be generated, collected, and consumed
Load and process formatted datasets such as CSV and JSON.
Deal with data in various formats (e.g. timestamps, strings) and filter and “clean” datasets by removing outliers etc.
Basic experience with data processing libraries such as numpy and data ingestion with urllib, requests
Skills you will gain

