Introduction to Data Analysis for Government

Introduction to Data Analysis for Government

About this course

Data has exploded in the last few years, but educational resources for government information workers to take advantage of that data to improve program outcomes hasn't kept up. This first course in the series Fundamentals of Data Analysis for Government focuses on the key components of setting up and executing a data analysis project.

Duration: ~2 hours

Instructors

 Oliver Wise, Digital Government Principal

What You'll Learn in this Course

  • How to frame a data analysis project
  • The power of simple descriptive statistics to guide decision making
  • Examples of data being effectively used in the public sector
  • Methods to download, evaluate, clean, and analyze data using Excel
  • How you can be influenced by biases, and can unintentionally introduce them into your analysis
  • The difference between structured, machine-readable data and unstructured, human-readable data

Earn a Government Data Analysis Certificate

Earn the Fundamentals of Data Analysis for Government certificate upon completion of this self-paced training course along with the 3 others in the series.

 

You can also add it directly to your LinkedIn profile in a just a few clicks

Additional Learning Resources

Curriculum~2 hours

  • Introduction to Data Analysis
  • Introduction to Data Analysis - Part 1
  • Exercise: Introduction to Data Analysis
  • Introduction to Data Analysis - Part 2
  • Quiz: Introduction to Data Analysis
  • Identifying the Problem
  • Identifying the Problem - Part 1
  • Exercise: Identifying the Problem
  • Identifying the Problem - Part 2
  • Quiz: Identifying the Problem
  • Exploring the Problem
  • Exploring the Problem
  • Quiz: Exploring the Problem
  • Refining the Problem
  • Refining the Problem - Part 1
  • Exercise: Refining the Problem
  • Refining the Problem - Part 2
  • Quiz: Refining the Problem
  • Finding the Data
  • Finding Data - Part 1
  • Exercise: Finding the Data
  • Finding Data - Part 2
  • Quiz: Finding the Data
  • Bias, Opinions, and Assumptions
  • Bias, Opinions, and Assumptions
  • Quiz: Bias, Opinions, and Assumptions
  • Downloading and Manipulating Data
  • Downloading and Manipulating Data
  • Quiz: Downloading and Manipulating Data
  • Descriptive Statistics
  • Descriptive Statistics - Part 1
  • Walkthrough: Descriptive Statistics Introduction
  • Descriptive Statistics - Part 2
  • Walkthrough: Distribution
  • Descriptive Statistics - Part 3
  • Walkthrough: Central Tendencies
  • Descriptive Statistics - Part 4
  • Walkthrough: Standard Deviation
  • Descriptive Statistics - Part 5
  • Quiz: Descriptive Statistics
  • Exercise: Descriptive Statistics
  • Conclusion
  • Conclusion
  • Your Input to Improve This Course
  • Share with a Colleague

About this course

Data has exploded in the last few years, but educational resources for government information workers to take advantage of that data to improve program outcomes hasn't kept up. This first course in the series Fundamentals of Data Analysis for Government focuses on the key components of setting up and executing a data analysis project.

Duration: ~2 hours

Instructors

 Oliver Wise, Digital Government Principal

What You'll Learn in this Course

  • How to frame a data analysis project
  • The power of simple descriptive statistics to guide decision making
  • Examples of data being effectively used in the public sector
  • Methods to download, evaluate, clean, and analyze data using Excel
  • How you can be influenced by biases, and can unintentionally introduce them into your analysis
  • The difference between structured, machine-readable data and unstructured, human-readable data

Earn a Government Data Analysis Certificate

Earn the Fundamentals of Data Analysis for Government certificate upon completion of this self-paced training course along with the 3 others in the series.

 

You can also add it directly to your LinkedIn profile in a just a few clicks

Additional Learning Resources

Curriculum~2 hours

  • Introduction to Data Analysis
  • Introduction to Data Analysis - Part 1
  • Exercise: Introduction to Data Analysis
  • Introduction to Data Analysis - Part 2
  • Quiz: Introduction to Data Analysis
  • Identifying the Problem
  • Identifying the Problem - Part 1
  • Exercise: Identifying the Problem
  • Identifying the Problem - Part 2
  • Quiz: Identifying the Problem
  • Exploring the Problem
  • Exploring the Problem
  • Quiz: Exploring the Problem
  • Refining the Problem
  • Refining the Problem - Part 1
  • Exercise: Refining the Problem
  • Refining the Problem - Part 2
  • Quiz: Refining the Problem
  • Finding the Data
  • Finding Data - Part 1
  • Exercise: Finding the Data
  • Finding Data - Part 2
  • Quiz: Finding the Data
  • Bias, Opinions, and Assumptions
  • Bias, Opinions, and Assumptions
  • Quiz: Bias, Opinions, and Assumptions
  • Downloading and Manipulating Data
  • Downloading and Manipulating Data
  • Quiz: Downloading and Manipulating Data
  • Descriptive Statistics
  • Descriptive Statistics - Part 1
  • Walkthrough: Descriptive Statistics Introduction
  • Descriptive Statistics - Part 2
  • Walkthrough: Distribution
  • Descriptive Statistics - Part 3
  • Walkthrough: Central Tendencies
  • Descriptive Statistics - Part 4
  • Walkthrough: Standard Deviation
  • Descriptive Statistics - Part 5
  • Quiz: Descriptive Statistics
  • Exercise: Descriptive Statistics
  • Conclusion
  • Conclusion
  • Your Input to Improve This Course
  • Share with a Colleague