Data Science in Real Life
Completed by Giedrius Blazys
September 23, 2016
7 hours (approximately)
Giedrius Blazys'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: Analytical Skills
- Category: Data-Driven Decision-Making
- Category: Statistical Machine Learning
- Category: A/B Testing
- Category: Data Science
- Category: Statistical Methods
- Category: Technical Communication
- Category: Data Presentation
- Category: Statistical Modeling
- Category: Statistical Inference
- Category: Data Quality
