8781  Reviews star_rate star_rate star_rate star_rate star_half
$875USD
Duration 2 days
Course Code PBI-130WA
Available Formats Classroom

Overview

Course Description

This Power BI training course delves into the art of data storytelling, where participants learn how to use Power BI to craft data-driven narratives that resonate with diverse audiences. Beginning with the basics of data storytelling, attendees progressively build compelling visualizations and reports that summarize historical data, identify reasons behind past events, make informed forecasts about future events, and provide deep insights into data.

Skills Gained

  • Understand effective data storytelling
  • Apply data storytelling best practices
  • Select and create compelling visualizations
  • Communicate complex insights effectively
  • Drive informed decisions from raw data
  • Deliver data insights using dashboards, scorecards/metrics, and apps

Prerequisites

Familiarity with Excel and Power BI is useful but not necessary.

Training Materials

All Report Users/Power BI training students receive comprehensive courseware.

Software Requirements

  • A recent version of Windows (Windows 10 or later) with at least 8 GB of RAM
  • Microsoft 365 installed (especially Excel)
  • Power BI Desktop installed
  • Internet connectivity (for connecting to the Power BI service)
  • Related lab files that Ascendient Learning provides
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Course Details

Course Details

Course Outline

Understanding Data Storytelling and Data Analytics

  • What is Data Storytelling?
  • The three key elements of data storytelling
  • Identify your objective and target audience
  • Craft a clear narrative flow
  • Define a story arc
  • Understanding the role of Data Analytics in Data Storytelling
  • Distinguishing Between Descriptive, Diagnostic, Predictive, Prescriptive, and Cognitive Analytics
  • Selecting the right data visualization
  • Visualization mistakes to avoid

The End-to-End Process

  • Understanding the End-to-End Process
  • Data Preparation: Transforming Raw Data
  • Data Modeling: Structuring for Analysis
  • Visualization: Crafting Compelling Data Stories
  • Publishing Reports
  • Creating Dashboards and Metrics/Scorecards
  • Packaging as an Application
  • Effective Distribution Strategies
  • Consuming Insights and Making Informed Decisions

Your Story: Summarizing Historical Data to Provide Insights

  • Presenting raw data and statistics
  • Summarizing categorical data and displaying frequencies
  • Tracking trends and changes over time
  • Displaying proportions and percentages
  • Displaying patterns and correlations

Your Story: Identifying the Reasons Behind Past Events and Patterns

  • Identifying relationships and correlations between variables
  • Analyzing data distributions
  • Visualizing data variability and identifying outliers
  • Exploring details and root causes

Your Story: Make Informed Forecasts About Future Events and Trends

  • Utilizing predictive modeling for future trends
  • Predicting outcomes based on historical data
  • Segmenting data and identifying patterns
  • Identifying unusual data points

Your Story: Recommend Specific Actions

  • Implementing scenario analysis and decision support
  • Identifying factors impacting a specific outcome
  • Visualizing paths and outcomes based on decisions
  • Optimization and goal-based analysis

Your Story: Analyzing Data in a Human-like Manner

  • Interact with data using plain language
  • Using built-in AI visuals
  • Overview of Sentiment Analysis and Image Recognition

Creating Engaging Stories with Interactive Elements

  • Understanding conditional formatting options
  • Adding images and hyperlinks to a table
  • Working with databars, sparklines, and indicators
  • Working with sync slicers
  • Working with tooltip popup
  • Implementing bookmarks, buttons, and selections

Delivering Data Insights

  • Publishing Reports
  • Creating Dashboards and Metrics/Scorecards
  • Packaging as an Application
  • Effective Distribution Strategies
  • Consuming Insights and Making Informed Decisions

Data Storytelling Best Practices

  • Context is everything!
  • Data visualization decluttering best practices
  • Using text appropriately
  • Visualization mistakes to avoid

Conclusion

Schedule

Upcoming Course Dates

There are currently no scheduled dates for this course. If you are interested in this course, contact us with the form below.

Contact Information
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FAQ

How do I get a Microsoft exam voucher?

Pearson Vue Exam vouchers can be requested and ordered with your course purchase.

  • Vouchers are non-refundable and non-returnable. Vouchers expire 12 months from the date they are issued unless otherwise specified in the terms and conditions.
  • Voucher expiration dates cannot be extended. The exam must be taken by the expiration date printed on the voucher.

Do Microsoft courses come with post lab access?

Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour-long after 3-3.5 hours of the class day.

What languages are used to deliver training?

Microsoft courses are conducted in English unless otherwise specified.

Reviews

Fantastic and great training. Tons of hands-on labs to really make you understand the material being thought.

This is my second course with ExitCertified. This course exceeded my expectations. The teacher was great and the class was fun.

Labs and the study materials provided for Architecting on AWS course are very easy to understand and explains all the topics required to pass the Associate certification.

Good training material and good instruction. More time needs to be provided for the lab work.

The exit certified aws course provided a good introduction to the tools available on aws.