Data Science in Real Life
Completed by Michael Woods
November 11, 2017
7 hours (approximately)
Michael Woods'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
- Category: Data Quality
- Category: Statistics
- Category: Technical Communication
- Category: A/B Testing
- Category: Data Management
- Category: Statistical Machine Learning
- Category: Data Science
- Category: Statistical Methods
- Category: Data Analysis
- Category: Analytical Skills
- Category: Statistical Inference
- Category: Statistical Modeling
