- Web Scraping
- Data Manipulation
- Data Processing
- NumPy
- Data Import/Export
- Data Cleansing
- Jupyter
- Pandas (Python Package)
- Data Science
- Matplotlib
- JSON
- Interactive Data Visualization
Basic Data Processing and Visualization
Completed by Krishnan Unni
December 31, 2020
10 hours (approximately)
Krishnan Unni'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
