Tableau Desktop training is designed to teach users how to connect to data, visualize it effectively, and perform various analytical tasks using Tableau. The course is usually broken down into different skill levels, from beginner to advanced, allowing participants to build their knowledge step-by-step.

Why should you choose Nisa For Tableau Desktop Training?

Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you face any problem while working on Tableau Desktop Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:

• We receive your inquiry for Online Job
• We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
• If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
• We will fix the timing for Online Job Support as mutually agreed by you and our consultant.

Course Information

Tableau Desktop Training

Duration: 25 Hours

Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)

Training Method: Instructor Led Online One-on-One Live Interactive

Sessions.

COURSE CONTENT :

1. Introduction to Tableau Desktop:

• What is Tableau?
  • Understanding the different Tableau products (Desktop, Server, Online, etc.)
  • Overview of Tableau interface
  • Navigating Tableau Desktop
• Data Connections:
  • Connecting to different data sources (Excel, SQL, text files, cloud, etc.)
  • Importing and structuring data
• Basic Data Concepts:
  • Dimensions vs Measures
  • Data types (String, Number, Date, etc.)

2. Working with Data:

• Data Preparation:
  • Cleaning and transforming data
  • Using Tableau’s data prep tools (Data Interpreter, Split, Pivot, etc.)
  • Handling nulls and duplicates
• Joining and Blending Data:
  • Data relationships and joins
  • Data blending for combining data from different sources

3. Basic Visualization Techniques:

• Building Simple Visualizations:
  • Creating bar charts, line charts, and pie charts
  • Creating scatter plots and maps
• Understanding Marks:
  • Understanding the Marks card (color, size, shape, detail, label, tooltip)
  • Adjusting the appearance of visualizations
• Filtering and Sorting Data:
  • Using filters (context, relative, top N, etc.)
  • Sorting and grouping data for better insights

4. Advanced Visualization and Interactivity:

• Calculated Fields:
  • Creating calculated fields and table calculations
  • Logical, string, and aggregate functions
• Advanced Charts:
  • Bullet charts, Gantt charts, and heat maps
  • Dual-axis charts and combined axes
• Dashboards and Storytelling:
  • Creating interactive dashboards
  • Designing story points and data storytelling
  • Using actions (filter, highlight, URL)

5. Working with Dates and Time Series:

• Date Functions:
  • Understanding date and time functions
  • Handling continuous vs discrete dates
  • Creating time series visualizations
• Dynamic Date Filtering:
  • Using dynamic filters for date ranges (e.g., last 7 days, last quarter)

6. Advanced Analytics:

• Trend Lines and Forecasting:
  • Adding and interpreting trend lines
  • Basic forecasting and predictive analytics
• Reference Lines and Bands:
  • Adding reference lines, reference bands, and constant lines
• Clustering and Outliers:
  • Performing clustering for data grouping
  • Identifying and handling outliers

7. Sharing and Publishing Dashboards:

• Publishing to Tableau Server or Tableau Online:
  • Exporting workbooks and dashboards
  • Creating Tableau Server/Online workbooks
• Creating Dashboards for Web and Mobile:
  • Optimizing dashboards for different devices (mobile views, web views)
  • Using Tableau Public for sharing visualizations
• Interactivity and User Permissions:
  • Managing permissions and interactivity

8. Best Practices for Data Visualization:

• Design Principles:
  • Best practices in data visualization design (color usage, chart types, simplicity)
• Effective Storytelling:
  • Designing visualizations that tell a clear, actionable story
  • Focusing on insights rather than data overload