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DAT-520: Decision Methods and Modeling

(SNHU-DAT520.AD1) / ISBN : 978-1-61691-037-2
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Skills You’ll Get

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1

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
2

Connecting to Data Sources

  • Topic A: Create Data Connections
  • Topic B: Configure and Manage Data Relationships
  • Topic C: Save Files in Power BI
  • Summary
3

Performing Data Cleaning, Profiling, and Shaping

  • Topic A: Clean, Transform, and Load Data with the Query Editor
  • Topic B: Profile Data with the Query Editor
  • Topic C: Shape Data with the Query Editor
  • Topic D: Combine and Manage Data Rows
  • Summary
4

Visualizing Data with Power BI

  • Topic A: Create Visualizations in Power BI
  • Topic B: Chart Data in Power BI
  • Summary
5

Enhancing Data Analysis

  • Topic A: Customize Visuals and Pages
  • Topic B: Incorporate Tooltips
  • Summary
6

Decomposition Trees in Power BI

7

More model practice

8

Sensitivity Analysis

9

Creating Interactive Visualizations

  • Topic A: Create and Manage Data Hierarchies
  • Topic B: Filter and Slice Reports
  • Topic C: Create Dashboards
  • Summary
10

Using Advanced Analysis Techniques

  • Topic A: Create Calculated Tables, Variables, and Parameters
  • Topic B: Enhance Visuals with Statistical Analysis
  • Topic C: Perform Advanced Analysis
  • Summary
11

Ethics in Analytics

12

Enhancing Reports and Dashboards

  • Topic A: Enhance Reports
  • Topic B: Enhance Dashboards
  • Summary
13

Publishing and Sharing Reports and Dashboards

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

1

Analyzing Data with Self-Service BI

  • Interacting with Visualizations in Power BI
2

Connecting to Data Sources

  • Creating Data Connections
  • Configuring and Managing Data Relationships
  • Saving Files in Power BI
3

Performing Data Cleaning, Profiling, and Shaping

  • Cleaning, Transforming, and Loading Connected Data
  • Profiling Data in Power BI
  • Shaping Data for Analysis
4

Enhancing Data Analysis

  • Decision Trees in Power BI
5

Decomposition Trees in Power BI

  • Decomposition Trees in Power BI
6

More model practice

  • More Model Practice
7

Sensitivity Analysis

  • Sensitivity Analysis Case Study
8

Using Advanced Analysis Techniques

  • Enhancing Visuals with Statistical Analysis
9

Ethics in Analytics

  • Final Project
10

Enhancing Reports and Dashboards

  • Enhancing Reports

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