Data Science in Real Life
Completed by Emilie Despagnet Smith
June 2, 2016
7 hours (approximately)
Emilie Despagnet Smith'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: A/B Testing
- Category: Data Collection
- Category: Statistical Inference
- Category: Data Quality
- Category: Data Science
- Category: Statistics
- Category: Data Analysis
- Category: Technical Communication
- Category: Data Presentation
- Category: Statistical Modeling
- Category: Data Management
