Introduction to Business Analytics: Communicating with Data at Coursera Overview
Duration | 17 hours |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
- Student Reviews
Introduction to Business Analytics: Communicating with Data at Coursera Highlights
- Offered By University of Illinois at Urbana-Champaign
- inlcudes peer graded assignments, exercises and quizzes
- A great course for learning Business Analytics
- Learn from Kevin Hartman, Visiting Professor & Head of Analytics at Google
Introduction to Business Analytics: Communicating with Data at Coursera Course details
- Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for their agencies, organizations or clients.
- This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives.
Introduction to Business Analytics: Communicating with Data at Coursera Curriculum
WEEK-1: Pictures You See with Your Brain
Meet Professor Kevin Hartman
Welcome to Introduction to Business Analytics: Communicating with Data
Overview
Studying The History of Dataviz
Understanding Today's Dataviz Tools
Making Connections With Visuals
Evaluating The Effectiveness Of Dataviz
WEEK-2 Working Fast and Thinking Slow
Overview
Understanding The Growth Of Data
Evaluating Methods Of Data Access
Focusing Your Communication Journey
Planning Your Data Story
WEEK-3 Finding Your Data Story
Overview
Finding Patterns In Data
Being Planful When Creating Dataviz
Understanding The Components of Visual Form
Creating Inviting Dataviz
WEEK-4- Getting Your Story Across
Overview*
Enriching Content Through Connection*
Bringing Sophistication To Charts*
Improving Chart Legibility*
Presenting Dataviz With Impact
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