- Data Cleansing
- Data Quality
- Dimensionality Reduction
- Exploratory Data Analysis
- Sampling (Statistics)
- Data Manipulation
- Data Processing
- Pivot Tables And Charts
- Feature Engineering
- Data Warehousing
- Anomaly Detection
- Data Transformation
Data Processing and Manipulation
Completed by Ronobir Das
July 10, 2024
28 hours (approximately)
Ronobir Das's account is verified. Coursera certifies their successful completion of Data Processing and Manipulation
What you will learn
Understand the importance of data processing and manipulation in the data analysis pipeline.
Learn techniques to handle missing values and outliers, data reduction, and data scaling and discretization.
Understand the concept of data cube and perform multidimensional aggregation for exploratory analysis.
Skills you will gain
