This document provides an overview of a visual analytics course using Tableau. The course structure includes modules on Tableau Desktop foundations, exploratory data analysis, creating analytics dashboards, advanced predictive analytics with R programming, and completing visual analytics projects. Learners will gain skills in exploratory data analytics, building dashboards, predictive analytics, and developing a project portfolio. Case studies will cover topics like geo-data analysis, customer segmentation, and price index analysis. The importance of visual analytics and Tableau for industries like sales, marketing, and finance is also discussed.

1. Visual Analytics using Tableau

2. Speaker
Program Director Industry Analytics Bootcamps,
UpX Academy
MSc, Molecular Cell Biology, University of Cologne
MBA, Darmstadt University
Arun Reddy K
01

3. 02
Course Structure
Tableau
Desktop
Foundation
Exploratory
Data
Analysis
Create
Analytics
Dashboards
Advanced
Predictive
Analytics with R
programming
Visual
Analytics
Projects

4. 02
Learning outcomes
Exploratory
data
analytics
Build
analytics
dashboards
Predictive
Analytics
Develop
Project
portfolio

5. 02
Case studies you would be completing
Geo-data analysisCustomer
segmentation
Retail & Entertainment
analysis
H1B Lottery

6. 02
Projects you would be completing
Start-up funding
analysis
Public transport
analysis
World Price index
analysis

7. Agenda
Introduction to
Visual Analytics
History of Tableau
Quick facts
Importance in industry
Importance of Visual Analytics
Applications of Dashboards
Hands on session

8. 02
How did the Tableau journey start?
Product Leader
in self service
analytics
2016 - Present
Created by an founder of Pixar &
a brilliant computer scientist at
Stanford university
Recorded an
82% user
growth
2002 2008 2013
Desktop version 4
released
Image source: Proprietary logos

9. To help people visualize and understand data
Vision of Tableau

10. Agenda
Introduction to
Visual Analytics
History of Tableau
Quick facts
Importance in industry
Importance of Visual Analytics
Applications of Dashboards
Hands on session

11. 02
Quick facts on Tableau
Ref: Gartner Quadrant

12. Agenda
Introduction to
Visual Analytics
History of Tableau
Quick facts
Importance in industry
Case study
Applications of Dashboards
Hands on session

13. 02
Why learn Tableau?
Data
visualization
tool
Easy to learn Powerful
Connects
Data Science
& Big Data

14. More than 50,000 companies are using it
Who mainly use it?
Image source: Proprietary logos

15. Who mainly use it?
Self service
analytics
Sales
Human
Resources
Data
science
teams
Accounting
Finance
Marketing

16. 05
Strengths of Tableau: Connects Big data & Analytics ecosystem
Image source: Proprietary logos

17. 02
Job perspectives
Image source: indeed.com

18. 04
Tableau Ecosystem - Products
There are two desktop
versions of Tableau we
would explore
• Tableau Desktop enterprise
• Tableau Public version
Image source: Tableau software

19. Agenda
Introduction to
Visual Analytics
History of Tableau
Quick facts
Importance in industry
Case study
Applications of Dashboards
Hands on session

20. But, where & when would
I use it?

21. You are the CEO@Trivago based out of
Germany. Your company facilitates hotel
room booking in 55 markets with 8B US$
market cap

22. Rise of Trivago

23. • Your current goal is to increase your
revenue by 20% YOY till 2020
• You want to decide which markets
should you focus on for growth
• & understand your competitors pricing
strategy in various markets

24. 09
• Discuss with your Business development
team, on execution strategy, but we need
data first to gain more insights
• Analytics team has to prepare a report
to analyse the revenue trends for each
country around the world
• & identify hot tourism and travel markets
all over the world
• Need to analyse previous years revenue
trends as well and project figures for next
two years
Next Steps

25. 09
First you need the
analyze data from
tourism around the
world.

26. 09
Because Revenue and competitive
information trends help us identify
potential markets where we could
focus our growth!

27. How does Analytics team address this task?

28. The challenges faced by the analytics team?
Gather data
Analyse data
Present data: through visuals to the CEO

29. Gathering relevant data is a challenge
09
• Country tourism data from
government websites
• Past data from hotel bookings
• Competitors data through web
scraping
• External market research data

30. Perform relevant analysis suitable for the problem
09
• Understand business objective
• Examine past data
• Identify trends
• Summarize
• Predict future trends
• Identify Travel hotspots
Analyse data

31. 09
How do Data scientists address this challenge?
Breakdown your
analysis

32. 09
How do Data scientists address this challenge?
Focus your analysis
on each market
Using dashboards

33. 09
How do Data scientists address this challenge?
Present the
High level Information
to the CEO

34. Agenda
Introduction to
Visual Analytics
History of Tableau
Quick facts
Importance in industry
Case study
How does visual analytics help
Applications of Dashboards

35. 09
Seems pretty straight forward!
Cant we use MS Excel to perform
the analysis? Why do we need
Tableau?

36. 09
Its difficult to
derive insights
from thousands
of rows
Crunching data matters for rapid analytics!

37. 09Source: Tableau.com
So, Visual Analytics
allows to compare
& calculate
How does visual analytics help?

38. 09
“Easier to perceive
& evaluate,
Graphs & Visuals “
How does visual analytics help?

39. 07
“if you first explore and understand
the data using visualization
techniques, your work will go much
faster”
A Data scientist
Reference: https://www.quora.com/What-are-the-most-common-mistakes-made-by-aspiring-data-scientists
How does visual analytics help?

40. Agenda
Introduction to
Visual Analytics
History of Tableau
Quick facts
Importance in industry
Case study
How does visual analytics help
Applications of Dashboards

41. Use-cases of Tableau
11

42. 11
DISCOUNT TRACKER

43. 11
SPORTS AUCTIONS

44. 11
QUALITY MANAGEMENT MANUFACTURING

45. 11
GEO DATA ANALYSIS

46. Understanding
stakeholders
Needs & goals
11

47. Understanding Stakeholders needs is most crucial!
11
• Improve operational efficiency
• Implement quick solutions
• Execute a turnaround
Clients!

48. Understanding Stakeholders needs is most crucial!
11
• More strategic thought oriented
• Calculate longer term prospects
• Focus on growth
• Prepare for uncertainties in business
Executives

49. Understanding Stakeholders needs is most crucial!
11
• Problem solving approach
• More process oriented
• Define multiple solutions
• What if scenario analysis
Managers

50. • Allows understand data quickly
• Discover hidden facts
• Storytelling & Reporting insights to various stakeholders
• Make relevant and timely data driven Business decisions
10
Summarizing visual analytics introduction

51. Visual Analytics is thus an Art & Science

52. Some of the Images
used in the
preparation of this
deck are collected
using Google image
search for the
purpose of
education. We hold
no copyrights for the
images used