ISM3116: Introduction to Business Analytics and Big Data

(FAU-ISM3116.AD2) / ISBN : 978-1-64459-796-5
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1

Welcome to Visual Analytics

  • A Visual Revolution
  • The Evolution from Data Visualization to Visual Data Storytelling
  • A Brief Look at the State of the Industry
  • From Visual to Story: Bridging the Gap
  • Summary
2

Getting Started with Tableau

  • Using Tableau
  • Why Tableau?
  • The Tableau Product Portfolio
  • Getting Started
  • Installing Tableau Desktop
  • Connecting to Data
  • Adding and Replacing Data Sources
  • Basic Data Prep with Data Interpreter
  • Navigating the Tableau Interface
  • Understanding Dimensions and Measures
  • Summary
3

Fundamental Data Visualizations

  • The Bar Chart
  • The Line Chart
  • Pie and Doughnut Charts
  • The Scatter Plot
  • The Packed Bubble Chart
  • The Tree Map
  • The Heat Map
  • Summary
4

Fundamental Maps

  • Types of Maps
  • Summary
5

Design Tips for Curating Visual Analytics

  • Visual Design Building Blocks
  • Color
  • Color Effects
  • Pre-attentive Colors
  • Important Color Considerations
  • The Truth About Red and Green
  • Lines
  • Formatting, Shading, and Banding
  • Shapes
  • Summary
6

Beyond Fundamentals: Advanced Visualizations

  • Timelines
  • Bar-in-Bar Charts
  • Likert-Scale Visualizations
  • Lollipop Charts
  • Word Clouds
  • Summary
7

The Power of Visual Analytics

  • The Science of Storytelling
  • The Power of Stories
  • Summary
8

Structuring Analytics for Storytelling: Prep, Dashboards, and Stories

  • Basic Data Prep in Tableau: Data Interpreter
  • Storyboarding Your Visual Analytics
  • Summary
9

Analyzing Data with Self-Service BI

  • Topic A: Data Analysis and Visualization for Business Intelligence
  • Topic B: Self-Service BI with Microsoft Power BI
  • Summary
10

Connecting to Data Sources

  • Topic A: Create Data Connections
  • Topic B: Configure and Manage Data Relationships
  • Topic C: Save Files in Power BI
  • Summary
11

Visualizing Data with Power BI

  • Topic A: Create Visualizations in Power BI
  • Topic B: Chart Data in Power BI
  • Summary
12

Enhancing Data Analysis

  • Topic A: Customize Visuals and Pages
  • Topic B: Incorporate Tooltips
  • Summary
13

Modeling Data with Calculations

  • Topic A: Create Calculations with Data Analysis Expressions (DAX)
  • Topic B: Create Calculated Measures and Conditional Columns
  • Summary
14

Creating Interactive Visualizations

  • Topic A: Create and Manage Data Hierarchies
  • Topic B: Filter and Slice Reports
  • Topic C: Create Dashboards
  • Summary
15

Enhancing Reports and Dashboards

  • Topic A: Enhance Reports
  • Topic B: Enhance Dashboards
  • Summary
16

Publishing and Sharing Reports and Dashboards

  • Topic A: Publish Reports
  • Topic B: Create and Manage Workspaces
  • Topic C: Share Reports and Dashboards
  • Summary

1

Getting Started with Tableau

  • Creating a Connection in a New Workbook
  • Using the Show Me Card
2

Fundamental Data Visualizations

  • Creating a Bar Chart
  • Creating a Line Chart
  • Creating a Doughnut Chart
  • Creating a Pie Chart
  • Creating a Scatter Plot
  • Creating a Bubble Chart
  • Creating a Tree Map
  • Creating a Heat Map
3

Fundamental Maps

  • Creating a Choropleth Map
  • Creating a Hierarchy
4

Design Tips for Curating Visual Analytics

  • Using the PROPER() Function
  • Creating a Calculated Field
  • Using the Shape Marks Card
5

Beyond Fundamentals: Advanced Visualizations

  • Creating a Bar-in-Bar Chart
  • Creating a Divergent Stacked Bar Chart
  • Creating a Stacked Bar Chart
  • Creating a Lollipop Chart
6

The Power of Visual Analytics

  • Creating a Story
7

Analyzing Data with Self-Service BI

  • Interacting with Visualizations in Power BI
8

Connecting to Data Sources

  • Creating a Data Connection
  • Configuring and Managing Data Relationships
  • Saving and Exporting Files in Power BI
9

Visualizing Data with Power BI

  • Creating Visualizations
  • Charting Data in Power BI
10

Enhancing Data Analysis

  • Customizing Visuals in Power BI
  • Incorporating Tooltips to Enhance Data Analysis
11

Modeling Data with Calculations

  • Creating Calculated Measures
  • Creating Conditional Columns
12

Creating Interactive Visualizations

  • Creating and Managing Data Hierarchies
  • Filtering and Slicing Reports
13

Enhancing Reports and Dashboards

  • Enhancing Reports
  • Enhancing Dashboards
14

Publishing and Sharing Reports and Dashboards

  • Publishing Reports and Refreshing Data

ISM3116: Introduction to Business Analytics and Big Data

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