Data Science in Real Life
Completed by Petr Dyakov
January 22, 2016
7 hours (approximately)
Petr Dyakov'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: Statistical Machine Learning
- Category: Technical Communication
- Category: A/B Testing
- Category: Analytical Skills
- Category: Data Quality
- Category: Statistical Modeling
- Category: Statistical Inference
- Category: Data-Driven Decision-Making
- Category: Statistical Methods
- Category: Data Analysis
- Category: Data Science
- Category: Statistics
