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The Data Story Academy

course
Text Analysis Techniques
Text Analysis Techniques
Text Analysis Techniques

About the Course

Collecting open-ended text responses is a popular form of survey data. However, it can be time-consuming and difficult to work with - there are many challenges to efficiently and effectively analyze text data.  By the end of this course, you will know how to

  • Set up, check, and clean your text data
  • Code or categorize it, in the most efficient and meaningful ways
  • Analyze and report on it

It's a great companion to our Beginners Guide to Checking, Cleaning and Tidying Data course, being one of the key steps in the data preparation process.

At the end of each course you can sit the exam and get certified!

Limited-time offer! Enroll now for free before we add a nominal fee.

Course Instructor

Andrew Kelly
Andrew Kelly
Course Progress
Not started
Enroll
Course Outline
  1. Getting Started
    1. How to approach this course.
    2. The course workbook
    3. The case data
  2. Text analysis in market research
    1. Open ended questions
    2. The wrong ways to think about text analysis
    3. The right way to think about text analysis!
    4. Hot tip: generating machine-understandable text
  3. Checking and cleaning text data
    1. The manual approach
    2. Exercise 1: Practice Checking and Cleaning Data
    3. Automation via Artificial Intelligence
  4. Coding or Categorizing Text
    1. The manual approach to categorizing test
    2. Automatic text categorization
    3. Exercise 2: Practice Generating and Editing Categories
    4. The text analysis "end game"
    5. Dealing with language translation
    6. Back-coding "other" responses
  5. Certification
    1. Before you start
    2. Exam
    3. Completing the course
course
Text Analysis Techniques
Text Analysis Techniques
Course Progress
Not started
Enroll

About the Course

Collecting open-ended text responses is a popular form of survey data. However, it can be time-consuming and difficult to work with - there are many challenges to efficiently and effectively analyze text data.  By the end of this course, you will know how to

  • Set up, check, and clean your text data
  • Code or categorize it, in the most efficient and meaningful ways
  • Analyze and report on it

It's a great companion to our Beginners Guide to Checking, Cleaning and Tidying Data course, being one of the key steps in the data preparation process.

At the end of each course you can sit the exam and get certified!

Limited-time offer! Enroll now for free before we add a nominal fee.

Course Outline
  1. Getting Started
    1. How to approach this course.
    2. The course workbook
    3. The case data
  2. Text analysis in market research
    1. Open ended questions
    2. The wrong ways to think about text analysis
    3. The right way to think about text analysis!
    4. Hot tip: generating machine-understandable text
  3. Checking and cleaning text data
    1. The manual approach
    2. Exercise 1: Practice Checking and Cleaning Data
    3. Automation via Artificial Intelligence
  4. Coding or Categorizing Text
    1. The manual approach to categorizing test
    2. Automatic text categorization
    3. Exercise 2: Practice Generating and Editing Categories
    4. The text analysis "end game"
    5. Dealing with language translation
    6. Back-coding "other" responses
  5. Certification
    1. Before you start
    2. Exam
    3. Completing the course

Course Instructor

Andrew Kelly
Andrew Kelly