Introduction to Data Analysis for Government
Introduction to Data Analysis for Government, available at Free, has an average rating of 4.25, with 21 lectures, 8 quizzes, based on 946 reviews, and has 21918 subscribers.
You will learn about 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 This course is ideal for individuals who are Government employees who work with data in their day-to-day job. It is particularly useful for Government employees who work with data in their day-to-day job.
Enroll now: Introduction to Data Analysis for Government
Summary
Title: Introduction to Data Analysis for Government
Price: Free
Average Rating: 4.25
Number of Lectures: 21
Number of Quizzes: 8
Number of Published Lectures: 21
Number of Published Quizzes: 8
Number of Curriculum Items: 29
Number of Published Curriculum Objects: 29
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- 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
Who Should Attend
- Government employees who work with data in their day-to-day job.
Target Audiences
- Government employees who work with data in their day-to-day job.
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 haven’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.
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
Contents and Overview
This course is ideal for government employees who have a strong qualitative understanding of their work but have yet to master the quantitative skills needed to leverage data in their day-to-day responsibilities. Through ~25 lectures and ~2 hours worth of content, you’ll learn all of the fundamentals of government data analysis and establish a strong understanding of the concepts behind using data. Each chapter contains proficiency quizzes and hands-on exercises to practice while you’re learning.
Starting with a high-level overview of a data analysis project framework, this course will take you through identifying the actual problem to solve, exploring and defining a conceptual model around the problem, analyzing data to support or reject that model, then communicating insights found from the data analysis to address the problem at hand. Students will see all steps of the framework completed through the lens of a real-world data project done in the City of New Orleans.
Students completing the course will have the knowledge to analyze data and utilize it to improve government program delivery.
With these basics mastered, students are able to continue their learning through the Socrata Data Academy courses online.
Course Curriculum
Chapter 1: Introduction to Data Analysis
Lecture 1: Introduction to Data Analysis – Part 1
Lecture 2: Introduction to Data Analysis – Part 2
Chapter 2: Identifying the Problem
Lecture 1: Identifying the Problem – Part 1
Lecture 2: Identifying the Problem – Part 2
Chapter 3: Exploring the Problem
Lecture 1: Exploring the Problem
Chapter 4: Refining the Problem
Lecture 1: Refining the Problem – Part 1
Lecture 2: Refining the Problem – Part 2
Chapter 5: Finding the Data
Lecture 1: Finding the Data – Part 1
Lecture 2: Finding the Data – Part 2
Chapter 6: Bias, Opinions, and Assumptions
Lecture 1: Bias, Opinions, and Assumptions
Chapter 7: Downloading and Manipulating Data
Lecture 1: Downloading and Manipulating Data
Chapter 8: Descriptive Statistics
Lecture 1: Descriptive Statistics – Part 1
Lecture 2: Walkthrough: Descriptive Statistics
Lecture 3: Descriptive Statistics – Part 2
Lecture 4: Walkthrough: Distribution
Lecture 5: Descriptive Statistics – Part 3
Lecture 6: Walkthrough: Central Tendencies
Lecture 7: Descriptive Statistics – Part 4
Lecture 8: Walkthrough: Standard Deviation
Lecture 9: Descriptive Statistics – Part 5
Chapter 9: Conclusion
Lecture 1: Conclusion
Instructors
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Socrata Data Academy
Teaching program leaders and government information workers how to analyze data and proficiently use modern data analysis technologies
Rating Distribution
- 1 stars: 13 votes
- 2 stars: 30 votes
- 3 stars: 196 votes
- 4 stars: 360 votes
- 5 stars: 347 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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