Statistical Thinking for Data Science and Analytics

Provided by Columbia University (ColumbiaX)
$99 USD
for a certificate
(or study for free)
Introductory
See Prerequisites

Learn how statistics plays a central role in the data science approach.

Professional CertificateData Science for Executives
Course Format:Instructor-Led
Start Date:May 8, 2018

What you will 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

Overview

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.

Before you start

High School Math. Some exposure to computer programming.
  • Instructor-Led: course contains assignments and exams that have specific due dates, and you complete the course within a defined time period.
  • Course ends: Dec 12, 2018

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