- Business Metrics
- Generative AI
- Marketing
- Key Performance Indicators (KPIs)
- Exploratory Data Analysis
- Data Manipulation
- Data Analysis
- Analytics
- Data Visualization
- Data Quality
- Data Modeling
- Data Collection
Introduction to Data Analytics
Completed by IFEYINWA CHINYERE NWABUEZE
December 11, 2022
17 hours (approximately)
IFEYINWA CHINYERE NWABUEZE'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
