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Full Tableau Training

This is a 2 full day Tableau training for data visualisation. Tableau is designed for data science. This Tableau Essential Training explains how to analyze and present data using this powerful data visualisation program. 

Topics include:

  • Tableau Worksheets
  • Data Visualisation View
  • Tableau Dashboard & Story
  • Actions
  • Connecting to a Data Source
  • Data Join and Data Pivot
  • Organise Data with Filter, Group & Set
  • Field Calculation
  • Parameters
  • Level of Expressions
  • Map Visualisation

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M470

Course Booking

MYR1,600.00

Course Date

Course Time

* Required Fields

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Day 1

Module 1. Tableau Overview

  • What is Tableau?
  • Tableau Software
  • Tableau File Types
  • Explore Tableau Interface

Module 2. Worksheet and View

  • Worksheet Basics
  • Dimension and Measure
  • Continuous and Discrete Data
  • Create Folder & Hierarchy
  • View Basics
  • Different Plots
  • Saving Workbook

Module 3. Dashboard and Story

  • Dashboard Basics
  • Actions
  • Story Basics

Module 4. Connecting to Data Sources

  • Data Sources
  • Data Extract
  • Data Source Filter
  • Data Join
  • Data Blending

Module 5. Transform Data

  • Data Interpreter
  • Split & Merge Fields
  • Pivot Data
  • Filter Data
  • Organize Data by Group & Set

Day 2

Module 6. Calculation

  • Create Calculated Field
  • Shelf Calculation
  • Table Calculation
  • Logical Functions

Module 7. Parameter

  • Filter By Parameter
  • Top N Analysis
  • Add Calculation to Parameter
  • Reference Line
  • Dynamic View

Module 8. Level of Expression

  • Level of Expression (LOD)
  • Fixed LOD
  • Include LOD
  • Exclude LOD

Module 9. Analytics

  • Average Line
  • Trend Line
  • Forecast
  • Clustering

Module 10. Map

  • Map Basics
  • Map Services
  • Integrating Mapbox Styles to Map

Who Should Attend

  • Data analysts that want to use Tableau for data visualization
  • Marketeers that plan to use Tableau for data visualization

Prerequisite

Nil

Trainers

Data Science TrainerDr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learning (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

Customer Reviews (2)

Will RecommendReview by Nurliyana Binti Muty
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Good
The training place is quite far and the floor 32 is high level
(Posted on 11/13/2017)
Will RecommendReview by Ammy Vega Darya
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
One thing to improve is the training environment, the class is a bit small and kind of difficult to reached since the lift layout inside the building is quite confusing. (Posted on 7/10/2017)

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