- Data Quality
- Data Management
- Data Analysis
- Data Science
- A/B Testing
- Statistical Modeling
- Statistical Inference
- Statistical Machine Learning
- Data-Driven Decision-Making
- Technical Communication
- Statistical Analysis
- Statistics
Data Science in Real Life
Completed by Catherine Claire Mmbaya
August 30, 2021
7 hours (approximately)
Catherine Claire Mmbaya's account is verified. Coursera certifies their successful completion of Data Science in Real Life
What you will learn
Identify strengths and weaknesses in experimental designs
Learn novel solutions for managing data pulls
Describe common pitfalls in communicating data analyses
Understand a typical day in the life of a data analysis manager
Skills you will gain
