Objective

In-depth of Tableau understanding including development of reports and analyzing the data using rich tableau charts and graphs.

Who can enroll

Professionals who  are keen to learn visualization of data using dynamic graphs and charts. Person should have some understanding of data and database concepts.

Section 1: Introduction

  • Lecture 1: Introduction
  • Lecture 2: Prepare files

Section 2: Connecting to your Data

  • Lecture 3: Deep Dive into Tableau
  • Lecture 4: Getting Data from different Sources
  • Lecture 5: Tableau Joins
  • Lecture 6: MetaData
  • Lecture 7: Data Blening
  • Lecture 8: Hierarchy and Groups
  • Section Quiz

Section 3: Visualization

  • Lecture 9: Dual Axis Graphs
  • Lecture 10: Histogram
  • Lecture 11: Pareto Chart
  • Lecture 12: Motion Chart
  • Lecture 13: Box Plot
  • Lecture 14: Funnel Chart
  • Lecture 15: Waterfall Charts
  • Section Quiz

Section 4: Maps and Images

  • Lecture 16: Maps in Tableau
  • Lecture 17: Advance Maps
  • Lecture 18: Polygon Maps
  • Lecture 19: Geocoding
  • Section Quiz

Section 5: Analyzing the Data

  • Lecture 20: Parameters
  • Lecture 21: Sorting
  • Lecture 22: Filteration
  • Lecture 23: Data blending
  • Lecture 24: Dashboard Filter
  • Lecture 25: Sets/strong>
  • Lecture 26: Grouping
  • Lecture 27: Analytics Dashboard
  • Section Quiz

Section 6: Calculation

  • Lecture 28: Numeric Calculations
  • Lecture 29: String Calculations
  • Lecture 30: Date Calculations
  • Lecture 31: User Defined Calculations
  • Lecture 32: Logical Calculations

Section 7: Statistics

  • Lecture 33: Control Charts
  • Lecture 34: Statistical Measures
  • Lecture 35: Box Plots
  • Lecture 36: Trend Lines
  • Lecture 37: Forecasting
  • Lecture 38: K-Means Clustering
  • Lecture 39: Integration with R

Section 8: Dashboard and Stories

  • Lecture 40: Dashboard
  • Lecture 41: Story Points
  • Final Quiz
  • Fee : RS 20,000
  • Duration : 30 Hours

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DATA SCIENCE

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TABLEAU

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BIG DATA HADOOP

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