Wrap-up

Introduction to Data Literacy

Carl Rosseel

Head of Business Intelligence Curriculum, DataCamp

Recap

Chapter 1: Data literacy basics
  • What it means to be data literate
  • Why data literacy is an important life skill
  • How to get from data to insights
  • Data-driven decision making
Chapter 2: Reading data
  • Where to find data
  • How to distinguish different data types
  • How to manage data
  • How to handle common data problems
Chapter 3: Getting insights from data
  • The four types of analytics
  • How to choose the right type of analytics for your question or business problem
Chapter 4: Communicating insights
  • How to use visualizations and storytelling
  • The three keys to communicating effectively
Introduction to Data Literacy

Next steps

Suggested theoretical follow-up courses:

  • Introduction to Statistics
  • Understanding Data Science
  • Understanding Data Visualization
  • Understanding Machine Learning
  • Data Communication Concepts

Suggested introductory courses:

  • Introduction to Python
  • Introduction to R
  • Introduction to SQL
  • Introduction to Power BI
  • Introduction to Tableau
Introduction to Data Literacy

Congratulations!

Introduction to Data Literacy

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