- Jupyter
- NumPy
- JSON
- Pandas (Python Package)
- Data Visualization
- Data Preprocessing
- Data Processing
- Data Visualization Software
- Web Scraping
- Data Import/Export
- Matplotlib
- Data Manipulation
Basic Data Processing and Visualization
Completed by Aakash Kumar Sinha
March 9, 2021
10 hours (approximately)
Aakash Kumar Sinha'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
