Tableau is the most powerful, secure, and flexible end-to-end analytics platform for data. Designed for the individual, but scaled for the enterprise, Tableau is the only business intelligence platform that turns data into insights that drive action.

Tableau Desktop version is a drag-and-drop analytics solution built for speed and ease of use. Start building the analytical skills employers is looking for in today’s data-driven workplace.

Who should attend?

  • Anybody looking for better career opportunities in Talend.
  • ETL Engineers
  • BigData Engineers
  • Data warehousing professionals
  • Business Intelligence consultants
  • Data Architects
  • Database Developers/Admin

What will be covered?

Basics of Data Visualization

  • Why visualize data?
  • Different types of visualizations
  • Features of a good visualization

Who should attend?

  • Anybody looking for better career opportunities in Talend.
  • ETL Engineers
  • BigData Engineers
  • Data warehousing professionals
  • Business Intelligence consultants
  • Data Architects
  • Database Developers/Admin

What will be covered?

Basics of Data Visualization

  • Why visualize data?
  • Different types of visualizations
  • Features of a good visualization

Getting started with Tableau

  • Overview of Tableau Installation process
  • Tableau interface
  • What is Tableau desktop, workbook, worksheets and their usage
  • Tableau objects

Connecting to data

  • Connecting to Excel, CSV, text files
  • Connecting to Databases
  • Editing data connections and sources Data blending

Filters and Parameters

  • What are filters Ways to filter Using filters
  • What is a parameter
  • Using parameters with filters
  • Sorting, Grouping and Drill Downs

Basic views in Tableau

  • Tables and Text Tables
  • Types of charts – bar, histogram, line, pie
  • Scatter plots Circle plots

Advanced views in Tableau

  • Maps based visualization Geocoding
  • Advanced charting – Area Charts, Dual Charts, Gantt Charts, Waterfall Charts
  • Tree Maps Motion Charts
  • Combination Charts
Days of Training

Customizing views in Tableau

  • How to customize visualizations using filters, pages, rows and column shelves
  • Summary Card Header and axes
  • Titles, captions, labels and legends

Calculations in Tableau

  • Types of calculation functions Table calculations
  • Calculation syntax
  • Level of Detail expressions Aggregate calculations Date calculations
  • String calculations Logic calculations
  • Statistics and forecasting

Functions in Tableau

  • Calculated Fields, Functions and Parameters
  • Calculated Fields – power to answer your difficult questions
  • Calculated Field operators Numeric Functions (singular)
  • Character Functions (Modify Items) Character Functions (Locate values in String)
  • Date Functions
  • Type Conversion Functions Logical Functions (If,Then, Else)
  • Aggregate Functions Aggregate calculations Table calculation Functions
  • Parameters and additional controls for analysis
  • Advanced Mapping

Data Blending

  • SQL Queries to retrieve data Data blending to use data from multiple sources in one view
  • Extracts to accelerate your data exploration

Dashboards

  • Getting started with Dashboards and stories
  • Building a Dashboard
  • Dashboard layouts and formatting Interactive dashboards through actions
  • Best practices for a dashboard Story points

Deploy and Publish Workbooks

  • Tableau Public
  • Export images to other applications Export data to other applications or back to Tableau
  • Print to PDF Packaged Workbooks Tableau Reader
Trainers Profile

Karthikeyan Jaganathan,

Business Intelligence/Analytics Expert

Managing Partner, IntellyticsHub Technology Corp LLP.

Mr.Karthikeyan Jaganathan got 8+ years of experience as Business Intelligence & Analytics consultant who served as key architect in deriving BI solutions for various projects such as Social Media Analytics project where in successfully built a pilot Data Warehouse/BI Application for a large Entertainment client in Palo Alto, California, USA. He had implemented a cutting edge BI solution with robust, scalable and completely reusable design for a Bigdata Analytics platform which executes on Banking Recommendation engine system. A Microsoft Certified SQL expert and a Certified BI Engineer.

His area of expertise is in Business Intelligence, Analytics (R Programming, Excel, and SQL), BigData (HDFS, Hive, Impala, SQOOP and Spark), Data Integration (Talend, SSIS) & Data reporting (Tableau, Power BI) tools and building reusable and highly configurable automation frameworks.

Karthikeyan holds a Bachelor of Engineering in Computer Science and Engineering from Anna University (India).