- Pandas (Python Package)
- Data Processing
- Data Import/Export
- Data Cleansing
- Jupyter
- Data Visualization
- Data Analysis
- Python Programming
- Web Scraping
- Data Manipulation
- NumPy
- Data Preprocessing
Basic Data Processing and Visualization
Completed by Monik Patel
April 11, 2021
10 hours (approximately)
Monik Patel'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
