- Data Visualization Software
- NumPy
- Data Analysis
- Data Manipulation
- Data Cleansing
- Data Processing
- Data Import/Export
- Python Programming
- Data Preprocessing
- Pandas (Python Package)
- Data Visualization
- Jupyter
Basic Data Processing and Visualization
Completed by SA'ED ALNABELSI
June 10, 2020
10 hours (approximately)
SA'ED ALNABELSI'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
