Tableau
Tableau is the data analytics tool that companies across the globe have embraced to communicate with data and develop a culture of data-driven decision making.
1 TABLEAU IS EASY
Data can be complicated. Tableau makes it easy. Tableau is a data visualization tool that takes data and presents it in a user-friendly format of charts and graphs.
There is no code writing required. You’ll easily master the end-to-end cycle of data analytics.
2 TABLEAU IS TREMENDOUSLY USEFUL
“Anyone who works in data should learn tools that help tell data stories with quality visual analytics.”
The smart data analyst, data scientist, and data engineer who have quickly adopted and started to use have gained key competitive advantage in the recent data-related hiring frenzy.
Check out the visualizations developed by Tableau users.
TABLEAU DATA ANALYSTS ARE IN DEMAND
As more and more businesses discover the value of data, the demand for analysts is growing. One advantage of Tableau is that it is so visually pleasing and easy for busy executives — and even the tech-averse — to use and understand. Tableau presents complicated and sophisticated data in a simple visualization format. In other words, CEOs love it.
Think of Tableau as your secret weapon. Once you learn it, you can easily surface critical information to stakeholders in a visually compelling format. That
“Tableau helps organizations leverage business intelligence to become more data-driven in their decision-making process.”
Get Started
The Tableau Public desktop app is a great way for you to get started.
Do the following to get started quickly;
- Download and install Tableau Public on your desktop
- Head over to Kaggle Datasets and find a CSV file of your liking and download it
- Open Tableau and read the downloaded CSV File
- Check out the tutorials here on how to use Tableau and build simple visualiztions with it
Run Your Own Tableau Bootcamp
For students who are pursuing Analytics degree programs a great way to conduct a cohort based bootcamp is to adop the following framework. The placement cooridnator or student leaders can adop the framework described below to run the competition. Industry leaders from your aluni group can be invited to judge the best dashboards developed.
-
Students will organize themselves into a maximum of 10 teams.
-
Each team will do the following;
- choose a team name.
- choose a team mascot/logo
- nominate a team manager who will manage the operations of managing the team, setting up their meetings, choosing the final tableau layout, dashboard name and being the team representative.
- lead analyst 1 who will develop the dashboard
- lead analyst 2 who will develop the dashboard
- business analyst who will research the dataset and consult with the team and discuss which dataset to choose for building the dashboard and the final business narrative
- visualization researcher who will survey the relevant public dashboards and discuss with the team on which visualizations to choose for the dashboard
If the team has more than 5 members, the additional members will be nominated as lead analyst 3, lead analyst 4 etc.
The first meeting with with the students will have each team manager present a slide where they will describe their team, the dataset chosen and what they have in mind for the final dashboard.
We will use this session to answer any questions they may have (not technical questions). This session can also be for just the managers to meet with us and discuss their approach and choice of dataset and vision for the final dashboard.
A week later we meet with the students for the final presentations. Each team will be given 10 minutes to go over the dashboard. The manager will present for 5 to 6 minutes. We will ask questions for the last 4 minutes or so of each presentation.
We will use the following to guide our assessments;
Did the team select an interesting story to tell with the data as it related to the topic and audience?
A story should have a clear beginning, middle, and end. Questions are useful to guide the audience with answers as are takeaways that drive the narrative from introduction to conclusion.
Did the team select appropriate visualizations (chart types) to present the data?
Charts and graphs should clearly show the data without bias. The chart type should be familiar to the audience. Avoid overly-complex charts that look fancy but don't clearly show insights.
Did the team apply effective design principles to the charts to clearly present the data?
Charts should be devoid of extraneous non-data elements such as shadows, borders, and use of color for decoration.
Did the team apply effective design principles to the presentation?
Presentation decks should be designed to support the presentation rather than be the presentation. Text should be limited and the use of visuals should be emphasized. All text should be readable (at least 36-point font) for the audience.
Did the group present visualizations that worked together to tell a coherent story?
The visualizations used should progressively reveal the insights or trends. Each visualization should highlight a single and different takeaway.
Students will be asked to upload their presentations into the Tableau Public Gallery.
Following dashboards from various teams were created by students from Delhi Universit Statistics Department in 2021.
Insight Strategists
Team KRASS
Viz-Zards
Pentacle
Abraca-Data
Datatrons
Outliers
Data Demystifiers
Nirvachan
V Stay