- Data Quality
- Statistical Inference
- Statistical Modeling
- Statistical Analysis
- Statistics
- Data Management
- Statistical Machine Learning
- Data Science
- A/B Testing
- Technical Communication
- Data-Driven Decision-Making
- Data Analysis
Data Science in Real Life
Completed by Hyun Kim
March 13, 2017
7 hours (approximately)
Hyun Kim'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
