Data Visualization with Tableau

Data Visualization with Tableau

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 4h 59m | 916 MB

Discover how to visualize your Data using Tableau

Tableau is one of the fastest evolving Business Intelligence (BI) and data visualization tools. Data Visualization with Tableau helps your insights come compellingly alive and communicates complex ideas simply. Expressive visualization enables you to get beyond static charts to create multi-faceted views of data and explore every dimension. The rise of big data and the growing public awareness of its power has made this the moment for data visualization. Data visualization is changing the way the world looks at data.

Tableau is a Data Visualization tool for molding information into various visuals. This course gives an overview of the fundamentals, from normal computations to implementations of various concepts such as Integrating Tableau with R, advanced graphs, and formatting visualizations. This video course takes you on a journey in which you’ll master data visualization using Tableau by getting to know valuable methods for utilizing advanced calculations to solve complex problems. These techniques include the creative use of different types of calculation such as row-level, aggregate-level, and more. You will discover how almost any data visualization challenge can be met in Tableau by a proper understanding of the tool’s inner workings and creatively exploring its possibilities.

By the end of the course you will be equipped for success as a Data Analyst: you will be able to create effective dashboards and data visualization solutions using Tableau.

This video course takes a direct approach and moves systematically from basic to more involved functionalities such as advanced calculations, parameters and sets, data blending, and R integration.

What You Will Learn

  • Work with various data sources including text files, MS Excel files, databases, and R data filesUse Tableau Desktop for data analysis and visualizations
  • Create bar charts, pie charts, waterfall charts, bump charts, line graphs, boxplot and line graphs etc.
  • Build interactive Dashboards and Visualizations
  • Develop calculated fields such as running sum, moving average, year on year growth etc. with conditional logic
  • Create a dynamic dashboard combining multiple worksheets
Table of Contents

01 The Course Overview
02 What Is Data Visualization
03 Why Visualize Data
04 Leading Data Visualization Tools
05 Introduction to Tableau
06 Tableau Products Suite
07 Tableau File Types
08 Working on Excel Data
09 Connecting to a Text Data Source
10 Handling R Data
11 Connecting to MS Access Database
12 Creating a Pie Chart
13 Creating a Bar Chart
14 Creating a Line Graph
15 Discovering Scatter Plot
16 Handling Filter Data
17 Discovering Context Filter
18 Implementing Sorting
19 Nested Sort
20 Understanding Grouping of Data
21 Manipulating Sets
22 Creating Parameters
23 Discrete and Continuous
24 Percent of Total
25 Running Total Calculations
26 Computing “Rank”
27 Moving Average
28 Computing “Year on Year Growth”
29 Combination Chart
30 Dual Axis Chart
31 Heat Map
32 Tree Map
33 Box Plot
34 KPI Chart
35 Waterfall Chart
36 Bump Chart
37 Level of Details (LOD)
38 Linear Regression
39 Performing “Market Basket Analysis” in Tableau
40 K-means Clustering
41 Building an Interactive Dashboard
42 Best Practices for Effective Dashboards