Introduction to Data Science – Course Overview
|
| Unit |
Unit Title |
Unit Description |
| Unit1 |
Data and Visualizations |
Introduces students to fundamental notions of data analysis—such as distribution and multivariate associations and emphasizes creating and interpreting visualizations of real-world processes as captured by data |
| Unit2 |
Distributions, Probability, and Simulations |
Students use numerical summaries to describe distributions and introduces probability through the lens of computer simulations for informal inference |
| Unit3 |
Data Collection Methods: Traditional and Modern |
Prepares students to learn about the various ways of collecting data, including Participatory Sensing, and the effect that data collection has on their interpretation of the patterns theydiscover |
| Unit4 |
Predictions and Models |
Students learn to make and how to use mathematical and statistical models to predict future observations and how data scientists measure the success of these predictions |
