ColumbiaX: DS101X Statistical Thinking for Data Science and Analytics
Learn how statistics plays a central role in the data science approach.
Instructors
Categories
Course Description
This statistics and data analysis course will pave the statistical foundation for our discussion on data science.
You will learn how data scientists exercise statistical thinking in designing data collection, derive insights from visualizing data, obtain supporting evidence for data-based decisions and construct models for predicting future trends from data.
This is the first course in the three-part Data Science and Analytics XSeries.
What you'll learn
- Data collection, analysis and inference
- Data classification to identify key traits and customers
- Conditional Probability-How to judge the probability of an event, based on certain conditions
- How to use Bayesian modeling and inference for forecasting and studying public opinion
- Basics of Linear Regression
- Data Visualization: How to create use data to create compelling graphics
Prerequisites
High School Math. Some exposure to computer programming.
Reference:
https://www.edx.org/course/statistical-thinking-data-science-columbiax-ds101x-0
Starts August 18, 2015
Course at a Glance
10 weeks of study
2-4 hours/week
English
English & Vietnamese subtitles