- Technical Communication
- A/B Testing
- Data Management
- Statistical Machine Learning
- Data Analysis
- Statistical Analysis
- Statistics
- Data Quality
- Statistical Inference
- Data-Driven Decision-Making
- Data Science
- Statistical Modeling
Data Science in Real Life
Completed by Elizabeth Marion Margaret Greve'
September 1, 2020
7 hours (approximately)
Elizabeth Marion Margaret Greve''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
