Data Science and Business Intelligence


Tableau is a trending and market-leading BI tool used to visualize and analyse your data in an easily digestible format. It allows you to work on live data-set and spend more time on data analysis rather than data wrangling. It is a comprehensive course designed by industry experts considering current industry job requirements to provide in-depth learning on Data Visualization modules using Tableau.

This course is focused on Tableau Desktop 10 Qualified Associate exam.

System prerequisites:

8 GB RAM, Windows OS

Duration: 35 hours


1. DATA VISUALIZATION with TABLEAU

         Why is Data Visualization needed?

         How to make sense out of numbers

         Uses of Tableau

         Architecture

         Installation

         Features of Tableau

2. BASIC VISUALIZATION DESIGN

         Exporting Data

         Connecting Sheets

         Loading into Tableau visualization engine

         Basic visualizations like Text Tables

         Bar

         Line, Pie charts

         Basic maps and interpreting the same

3. DETAIL VISUALIZATIONS DEEP DIVE

        Highlight Tables

        Circle Plots

         Heat Maps

         Side by Side Bars

         Scatter Plots

         Continues Lines

         Dual Charts

         Tree Maps

         Area Charts

4. DATA ORGANIZATION & SCRIPTING

         Calculated Metrics

         Sorting

         Filtering

         Totals and Sub Totals

         Various Aggregated Measures

         Percentages

         Data Spotlighting

         Summary Card

         Date and time functions

         String Functions and logical functions

         Data Items

         Data behind your views

         Hierarchies

         Sets

         Groups

         Bins

5. ADVANCED VISUALIZATIONS

         Dual Charts, Dual Axis, Combination charts

         Gantt Charts for activity tracking

         Motion Charts, Box and Whisker Plots

         Reference Lines, Reference Bands

         Pareto Analysis, Water Fall Charts

         Market Basket Analysis

6. TIME BASED CALCULATIONS

         Quick Table Calculations

         Custom Table Calculations

         YTD, Parallel Period

         Moving Averages, Running totals

         Window Averages, Trend Lines and Predictive Models

7. GEOGRAPHIC & OTHER SPATIAL BASED ANALYSIS

         Filled Maps, Symbol Maps

         Geo Coding

         Online Maps

         Sorting in Maps

         Background Maps

8. INCREMENTAL LOADING & BLENDING

         Data Blending from multiple source systems

         Custom SQL Queries

         Creating Incremental Loads

         Creating File Extractions

         Parameters

9. INTEGRATING TABLEAU, R & HADOOP

         For Statistical Analytics, and social media analytics

         Connect to Hadoop Systems from Tableau

         Integrating Tableau with R

         Connecting to R Serve Parameterized R calls

         Mean, Median, Mode, Standard Deviation

         Forecasting Models

10. Introduction to Tableau Server:

         Architecture

         Installation

         Configuration

         Troubleshooting

11. Hands-on: 1 project will be covered as part of this course.

  • Name
  • E-mail
  • Course
  • Phone number
  • Subject
  • Message