Data Science in Real Life
Completed by Evangelos Tzimopoulos
September 18, 2017
7 hours (approximately)
Evangelos Tzimopoulos'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: Data Management
- Category: Statistical Inference
- Category: Data Analysis
- Category: Data-Driven Decision-Making
- Category: A/B Testing
- Category: Statistical Machine Learning
- Category: Statistics
- Category: Technical Communication
- Category: Statistical Methods
- Category: Statistical Modeling
- Category: Data Science
