twlfth

By Mobilize Ops October 27th, 2019

“After a semester of taking IDS I have learned how to code and answer statistical questions that apply to real life.”
“IDS has actually made math easy for me to do. It has taught me how to code and use graphs. IDS gives me a better visual on math.”
“Through charts and graphs it is easier to break down the mathematics of the class.”

– Students

Course Overview

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

Test Drive our Technology