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 Data Analysis and Visualization With Microsoft Power BI Nanodegree Program G2168 QR Code
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Data Analysis and Visualization With Microsoft Power BI- Nanodegree Program



Every learner who wishes to acquire in-demand skills in data preprocessing, visualization, and analysis using Microsoft Power BI as the principal tool will be equipped with the Data Analysis and Visualization with Microsoft Power BI curriculum. Students in this program will learn how to use Microsoft Power BI to connect to various data sources, process data, and transform it in order to make it ready for reporting.

Draw conclusions from data dashboards and visualizations that can provide insights and aid a business in making important decisions. Build engaging data visualizations that tell a story and use best design practices.

Course Objectives

At the end of this course, participants will be able to:

  • know about Creating Visualizations with Microsoft Power BI
  • Buil Compelling Data Visualizations
  • Design User-FriendlyReports
  • Create Interactive Reports for Data Exploration
  • Elevate Reports with Advanced Report Features

Targeted Audience

  • Essentially, big data allows companies to know their customers in order to improve their marketing strategies and the customer experience
  • Big data provides crucial insight into your customers, including demographics, geographic location, and how they interact with your company in real time.

Course Outline

Unit 1: Welcome to CreatingVisualizations with Microsoft Power BI

  • Describe the learning objective of the course.
  • Explain why data visualization is important for business intelligence.
  • Identify the main stakeholders that BI analysts interact with.
  • Identify when data visualization is useful and when it is not.

Unit 2: Building Compelling Data Visualizations

  • Identify essential business metrics and pair them with appropriate data visuals.
  • Build familiar data visuals, including bar charts and line charts.
  • Design complementary visuals, including cards, donut charts, and tables.
  • Build more complex data visuals, including scatter plots and bubble maps.
  • Recognize standard formatting options for Microsoft Power BI visuals and navigate the unique formatting features that vary between visuals.

Unit 3: Designing User-FriendlyReports

  • Customize Microsoft Power BI themes with unique color palettes.
  • Insert elements like images, shapes, and buttons to create compelling and versatile layouts for their reports.
  • Apply design principles that reduce noise and highlight data stories.
  • Maximize accessibility for diverse user groups.

Unit 4: Creating Interactive Reports for Data Exploration

  •  Design visuals that interact with one another and help users explore data by filtering and drilling for insights.
  •  Identify the differences between filters and slicers in a Microsoft Power BI report, including when to use each and differences in functionality.
  •  Apply filters to data visuals, pages, and reports.
  •  Customize the filter pane for reporting needs.
  •  Help users explore the data with different types of slicers.

Unit 5: Elevating Reports with Advanced Report Features

  • Customize Microsoft Power BI reports in ways that foster interactivity and help users tell compelling data stories.
  • Build custom data stories with Microsoft Power BI bookmarks.
  • Empower users with navigation buttons.
  • Design drill-through pages for deep-dive analysis.

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