Tableau Training

Tableau Training in Bangalore

If data analysis and management is your cup of tea, then you can establish your career in data management and warehousing. However, you should have the relevant qualifications and skills in order to get the job of your dreams. Data analysts should be able to sift through thousands of data bits and string them into a useful piece of information. An analyst should also be able to clearly communicate the findings to the other departments so that smart business decisions should be made. Above all, you should also master the various data warehousing and analytics tools and software platforms. Tableau is a software program that enables visualization of data so that business analysts can make intelligent decisions. There are many Tableau training institutes in Bangalore wherein you can learn about this software program and its applications.
If you want to complete your certification from the best Tableau training institutes in Bangalore, you’ve come to the right place. At Dsm Infotech , we aim to provide the best learning experience for our students. Our training programs are designed keeping in mind the advanced technologies and the work place requirements from the experts. The subject matter experts who design the training curriculum make sure that the training course is comprehensive, clear, and detailed. We also have industry experts in our team of trainers. They will guide and mentor you, helping you understand the challenges of the corporate world. MNP Technologies offers fast track, online, and regular training programs to suit the time availability and preferences of students.
We are one of the few Tableau training institutes in Bangalore that offers round-the-clock student support. If you are studying part time, then you will have professional and personal commitments, which will make it difficult to attend regular training sessions. So, we allow you to customize the course so that you can study at your own pace. Our trainers are available 24/7 to give you all the assistance and guidance you will need.

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Tableau Course Syllabus

1. Introduction and Overview
  • Why Tableau? Why Visualization?
  • Level Setting Terminology
  • Getting Started creating some powerful visualizations quickly
  • The Tableau Product Line
  • Things you should know about Tableau
2. Getting Started
  • Connecting to Data and
  • introduction to data source concept
  • Working with data files versus database server
  • Understanding the Tableau workspace
  • Dimensions and Measures
  • Using Show Me!
  • Tour of Shelves (How shelves and marks work)
  • Building Basic Views
  • Help Menu and Samples
  • Saving and sharing your work
3. Analysis
  • Creating Views
  • Marks
  • Size and Transparency
  • Highlighting
  • Working with Dates
  • Date aggregations and date parts
  • Discrete versus Continuous
  • Dual Axis / Multiple Measures
  • Combo Charts with different mark types
  • Geographic Map Page Trails
  • Heat Map
  • Density Chart
  • Scatter Plots
  • Pie Charts and Bar Charts
  • Small Multiples
  • Working with aggregate versus disaggregate data
  • Analyzing
  • Sorting & Grouping
  • Aliases
  • Filtering and Quick Filters
  • Cross-Tabs (Pivot Tables)
  • Totals and Subtotals Drilling and Drill Through
  • Aggregation and Disaggregation
  • Percent of Total
    Working with Statistics and Trend lines
4. Getting Started with Calculated Fields
  • Working with String Functions
  • Basic Arithmetic Calculations
  • Date Math
  • Working with Totals
  • Custom Aggregations
  • Logic Statements
5. Formatting
  • Options in Formatting your Visualization
  • Working with Labels and Annotations
  • Effective Use of Titles and Captions
  • Introduction to Visual Best Practices
Building Interactive Dashboard
  • Combining multiple visualizations into a dashboard
  • Making your worksheet interactive by using actions and filters
  • An Introduction to Best Practices in Visualization
Sharing Workbooks
  • Publish to Reader
  • Packaged Workbooks
  • Publish to Office
  • Publish to PDF
  • Publish to Tableau Server and
  • Sharing over the Web
  • Putting it all together
  • Scenario-based Review
  • Exercises

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