Statistical Thinking for Data Science and Analytics
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.
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
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| Rating | 2.2★ based on 18 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 5 weeks, 7–10 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $99 |
| From | Columbia University, ColumbiaX via edX |
| Instructors | Eva Ascarza, James Curley, Andrew Gelman, Lauren Hannah, David Madigan, Tian Zheng |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Business Programming Data Science |
| Tags | Business & Management Computer Science Data Analysis & Statistics Engineering |
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What people are saying
bayesian section taught
Worth taking if only for the Bayesian section taught by Andrew Gelman.
robert ritz above
I totally agree with Robert Ritz above.
continue after completing
I was really looking forward to take all three classes in the series, but I decided not to continue after completing the first one.
download lecture videos
This class is a mess - we're unable to download lecture videos and transcripts, the powerpoint slides are not available, the quiz policy has changed midstream (you can now retake once instead of zero retakes).
grabbed random material
I think that the instructors didn't make much effort to design this class, instead they just grabbed random material from their own on-campus classes.
heavy foreign accent
I can't read the 'blackboard' most of the time if I also want to read the subtitles, and the primary instructor has quite a heavy foreign accent.
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| Rating | 2.2★ based on 18 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 5 weeks, 7–10 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $99 |
| From | Columbia University, ColumbiaX via edX |
| Instructors | Eva Ascarza, James Curley, Andrew Gelman, Lauren Hannah, David Madigan, Tian Zheng |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Business Programming Data Science |
| Tags | Business & Management Computer Science Data Analysis & Statistics Engineering |
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