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Power BI Bootcamp

Discover how to efficiently analyze and visualize data using Power BI, a powerful tool that combines the best features of Excel, Access, SQL, and more. Join this comprehensive training and unlock the potential of Power BI to create compelling dashboards and data visualizations with ease. Expand your data analysis skills and optimize your decision-making process.

  • Advanced
  • 18 and older
  • $599
  • Earn 5,990 reward points
  • Price Lock Guarantee
  • 185 Madison Ave, New York, NY
  • 14 hours over 2 sessions

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  • 14 hours over 2 sessions
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Class Description

Description

What you'll learn in this data visualization training:

Many people think Power BI is for advanced developers. In truth, plenty of people without prior experience in programming or data analysis are able to learn and use Power Bi. Power BI was created by combining the best features from Microsoft Excel, Access, SQL, and other related technologies to fill in the capability gaps that exist across these technologies, streamlining the process from data to insights. 

In this training, we’ll transition from what you know about these technologies and show you how Power BI solves the same problems more efficiently. To give you an understanding of what Power BI can do, you’ll learn to use Power Query to query data, Power BI’s data model to connect datasets, and Power BI’s report view to create compelling dashboards and data visualizations. Using case studies that bring together multiple capabilities at once, you’ll learn how to easily create measures to find SUM, COUNT, MAX, and more with a click of a button. You'll also work with the different filter options and use Power BI’s DAX language to power your data visualizations. 

Learn more about Power BI Bootcamp at NYIM Training.

Syllabus

Level 1

Introduction to Power BI

  • Why Use Power BI?
  • Power BI Desktop
  • Power BI Pro vs. Free
  • Explanation of ETL process (Extract, Transform, Load)
  • Data Types

Creating a Visualization

  • Importing Data
  • Choosing different types of data visualizations (column charts, bar charts, pie charts, donut charts, and more)
  • Cleaning Up the Appearance: Axis Labels, Display Units, Title, and more
  • Adding Data Labels
  • Card Visuals

Publishing & Sharing

  • Publishing Reports (to app.powerbi.com)
  • Sharing Reports
  • Collaborate on Reports with Comments
  • Adding a Power BI report to PowerPoint
  • Workspaces: What are they, publishing to the appropriate workspace, and creating/managing
  • Exporting a PDF

Links to Data Source Files

  • How Power BI Links to Data Files
  • Managing Links to Data Source Files

Extracting & Transforming Data

  • Extracting data from various sources: Text/CSV files, Excel worksheets, Multiple Files in a Folder, and more
  • Transforming data using the Power Query Editor:
    ETL = Extract, Transform, Load
    ELT = Extract, Load, Transform

Data Transformations

  • Use First Row as Headers
  • Remove Empty rows (null data)
  • Split Column By Delimiter
  • Applied Steps
  • Merge Queries
  • Append Queries
  • Fill Down
  • Transpose
  • Pivot
  • Column profiling for data quality check
  • Query Dependencies

Relationships

  • Relationship importance
  • Understanding types of relationship
  • Creating relationships
  • Cross filter relation: Single or Both

Building/Design a Report

  • Adding a Title
  • Adding a Logo
  • Adding a Background (Solid Color or Photo)

Measures

  • Create Measures
  • Using Measures in a Data Visualization

Calculated Columns

  • Using DAX to create a Calculated Column
  • Navigating Related Tables using DAX

Slicers

  • What Slicers Are
  • Adding & Using a Slicer

Level 2

Filters

  • Adding Filters
  • Adjusting Filter settings

Intro to DAX: Data Analysis Expressions

  • SUM vs SUMX
  • CONCATENATEX
  • COUNT vs COUNTX

Quick Measures

  • YTD (Year-to-Date)
  • Year-over-year-change

Map Visuals

  • Creating and Customizing a Map Visual

Drill Down & Drill Through

  • How to use Drill Down
  • How to use Drill Through
  • How Drill Down differs from Drill Through

Getting Data from Online Spreadsheets

  • Getting Data from a Google Sheet
  • Getting Data from Excel File Stored in OneDrive

Refreshing Data

  • How Datasets work in the Power BI Service
  • Manually Refreshing or Scheduled Refresh

Reusable Power BI Datasets

  • About Reusable Power BI Datasets
  • Creating & Using Power BI Datasets

Dashboards

  • Dashboards vs Reports
  • Creating a Dashboard

Refund Policy

  • Students may cancel up to 11 business days before the class/program start date and receive a refund, less the registration fee (10% of the undiscounted course price).
  • Cancellations within 11 business days are not permitted, but students may reschedule up to 4 business days before the class start date.

For cancellations and reschedules, please email us at [email protected]

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We are located in New York City on 34th street and Madison Avenue, a few blocks from Penn Station, Port Authority and Times Square. You may also attend this class live online (virtual training) via Zoom. We will reach out with additional information, including the Zoom info and class files.

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