Additional resources:
• Tableau Starter Kits https://www.tableau.com/learn/starter-kits
• Free How-To Training Videos https://www.tableau.com/learn/training
• Tableau Product Support https://www.tableau.com/support
• Tableau Product Help https://www.tableau.com/support/help
- Tableau desktop online help https://onlinehelp.tableau.com/current/pro/desktop/en-us/default.htm
• Visual Analysis Best Practices Guidebook https://www.tableau.com/learn/whitepapers/tableau-visual-guidebook?signin=c6cf87638b3864d1c393ffafb79ae10c
Tableau Certificate Exam Learning Resources
- Learning Tableau Notes
- Tableau Qualified Associated Exam https://www.linkedin.com/pulse/i-got-tableau-certified-you-can-too-saahithi-jyothy-surapaneni/
- https://biztory.com/2017/02/17/ace-tableau-desktop-qualified-associate-exam/
- Tableau Qualified Associate Certification Quizzes https://learningtableau.com/
- Equations of Trend Line: https://www.khanacademy.org/math/probability/scatterplots-a1/estimating-trend-lines/a/equations-of-trend-lines-phone-data
- The slope of the trend line represents the predicted change in the vertical variable that's associated with a one-unit change in the horizontal variable.
- e.g. y = −0.75x + 9, x, time spent on phone, y, battery life remaining. For each additional 1 hour of time spent on the phone, the predicted battery life remaining decreases by 0.75 hours.
- The y-intercept of the model describes the predicted y value when x = 0.
- When the time spent on her phone is 0 hours, the predicted battery life remaining is 9 hours.
- Use the trend line to predict the battery life remaining after 20 hours of phone use. The predicted battery life is -6 hours.
- The slope of the trend line represents the predicted change in the vertical variable that's associated with a one-unit change in the horizontal variable.