Data – What It Is, What We Can Do With It

4.54

Updated on

Course overview

Provider
Coursera
Course type
Free online course
Level
Beginner
Deadline
Flexible
Duration
11 hours
Certificate
Paid Certificate Available
Course author
Jennifer Bachner, PhD

Description

This course introduces students to data and statistics. By the end of the course, students should be able to interpret descriptive statistics, causal analyses and visualizations to draw meaningful insights. The course first introduces a framework for thinking about the various purposes of statistical analysis. We’ll talk about how analysts use data for descriptive, causal and predictive inference. We’ll then cover how to develop a research study for causal analysis, compute and interpret descriptive statistics and design effective visualizations. The course will help you to become a thoughtful and critical consumer of analytics. If you are in a field that increasingly relies on data-driven decision making, but you feel unequipped to interpret and evaluate data, this course will help you develop these fundamental tools of data literacy.

Similar courses

Bayesian Statistics: From Concept to Data Analysis
  • Flexible deadline
  • 12 hours
  • Certificate
Probability Theory: Foundation for Data Science
  • Flexible deadline
  • 48 hours
  • Certificate
Data – What It Is, What We Can Do With It
  • English language

  • Recommended provider

  • Certificate available