The Data Story Guide Academy

course
Beginners Guide to Tracking (Longitudinal) Research
Beginners Guide to Tracking (Longitudinal) Research
Beginners Guide to Tracking (Longitudinal) Research

About the Course

If you're new to tracking analysis and reporting or want to brush up on your basic skills, this course is for you!

By the end of the course, you will know the basics of ...

  • Getting your data files in the best format for tracking
  • Merging data files (for example, from wave to wave)
  • Weighting specifics for tracking data
  • Statistical testing on time-series data
  • Data visualization for trackers
  • And being smart about analysis and report building (so they are easy to update)

Upon completion, you can then consider taking our course on Advanced Tracking(Longitudinal) Research.


Course Instructor

Andrew Kelly
Andrew Kelly
Course Progress
Not started
Coming Soon
Course Outline
  1. Data Management
    1. Merging data files
    2. Updating Data files
    3. Dealing with questionnaire changes
  2. Analysis
    1. Finding meaningful change
    2. Avoiding reporting noise
    3. Avoiding reporting seasonality as change
  3. Reporting
    1. Selecting visualizations (to keep your audience engaged)
    2. Aggregating and Smoothing Data
course
Beginners Guide to Tracking (Longitudinal) Research
Beginners Guide to Tracking (Longitudinal) Research
Course Progress
Not started
Coming Soon

About the Course

If you're new to tracking analysis and reporting or want to brush up on your basic skills, this course is for you!

By the end of the course, you will know the basics of ...

  • Getting your data files in the best format for tracking
  • Merging data files (for example, from wave to wave)
  • Weighting specifics for tracking data
  • Statistical testing on time-series data
  • Data visualization for trackers
  • And being smart about analysis and report building (so they are easy to update)

Upon completion, you can then consider taking our course on Advanced Tracking(Longitudinal) Research.


Course Outline
  1. Data Management
    1. Merging data files
    2. Updating Data files
    3. Dealing with questionnaire changes
  2. Analysis
    1. Finding meaningful change
    2. Avoiding reporting noise
    3. Avoiding reporting seasonality as change
  3. Reporting
    1. Selecting visualizations (to keep your audience engaged)
    2. Aggregating and Smoothing Data

Course Instructor

Andrew Kelly
Andrew Kelly
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