- Data Visualization Software
- Jupyter
- Web Scraping
- Data Science
- Data Import/Export
- Interactive Data Visualization
- Data Cleansing
- Data Visualization
- Pandas (Python Package)
- NumPy
- Matplotlib
- Data Processing
Basic Data Processing and Visualization
Completed by THOMAS T VEMPENY
August 7, 2020
10 hours (approximately)
THOMAS T VEMPENY'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
