Data Science in Real Life
Completed by Kaitlyn Brodie Wright
January 3, 2016
7 hours (approximately)
Kaitlyn Brodie Wright'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 Analysis
- Category: Statistical Methods
- Category: Data-Driven Decision-Making
- Category: Statistical Modeling
- Category: Analytical Skills
- Category: Data Quality
- Category: Data Science
- Category: A/B Testing
- Category: Statistical Machine Learning
- Category: Data Management
- Category: Statistical Inference
- Category: Technical Communication
