- Data Visualization
- Marketing
- Key Performance Indicators (KPIs)
- Data Analysis
- Data Collection
- Data Management
- Data Quality
- Business Metrics
- Exploratory Data Analysis
- Business Analysis
- Data Validation
- Data Modeling
Introduction to Data Analytics
Completed by Jae-Hong Lee
May 20, 2024
17 hours (approximately)
Jae-Hong Lee's account is verified. Coursera certifies their successful completion of Introduction to Data Analytics
What you will learn
Apply the data analysis process OSEMN to marketing data
Compare and contrast various data formats and their applications across different scenarios
Identify data gaps and articulate the strengths and weaknesses of collected data
Skills you will gain
