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Analyzing Data with Power BI

  • Intermediate
  • 16 and older
  • $1,775
  • Live Online Training
  • 24 hours over 3 sessions

Start Dates (0)

  • $1,775
  • Live Online Training
  • 24 hours over 3 sessions
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Class Description

Description

What you'll learn in this microsoft training:

DA-100T00 course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.


Intended Audience

  • The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.

Course Objectives

  • Ingest, clean, and transform data
  • Model data for performance and scalability
  • Design and create reports for data analysis
  • Apply and perform advanced report analytics
  • Manage and share report assets
  • Create paginated reports in Power BI


Prerequisites:

Required

  • Knowledge of data analysis and visualization concepts
  • Knowledge of working with non-relational data in the cloud
  • Knowledge of working with relational data in the cloud
  • Understanding core data concepts

Recommended

  • DP-900T00: Microsoft Azure Data Fundamentals

Course Outline:

  1. Get Started with Microsoft Data Analytics
    1. Data Analytics and Microsoft
    2. Getting Started with Power BI
  2. Prepare Data in Power BI
    1. Get data from various data sources
    2. Optimize performance
    3. Resolve data errors
    4. Lab: Prepare Data in Power BI Desktop
  3. Clean, Transform, and Load Data in Power BI
    1. Data shaping
    2. Enhance the data structure
    3. Data Profiling
    4. Lab: Load Data in Power BI Desktop
  4. Design a Data Model in Power BI
    1. Introduction to data modeling
    2. Working with tables
    3. Dimensions and hierarchies
    4. Lab: Model Data in Power BI Desktop, Part 1
    5. Lab: Model Data in Power BI Desktop, Part 2
  5. Create Model Calculations using DAX in Power BI
    1. Introduction to DAX
    2. DAX context
    3. Advanced DAX
    4. Lab: Create DAX Calculations in Power BI Desktop, Part 1
    5. Lab: Create DAX Calculations in Power BI Desktop, Part 2
  6. Optimize Model Performance
    1. Optimize the model for performance
    2. Optimize DirectQuery Models
    3. Create and manage Aggregations
  7. Create Reports
    1. Design a report
    2. Enhance the report
    3. Lab: Design a Report in Power BI Desktop, Part 1
    4. Lab: Design a Report in Power BI Desktop, Part 2
  8. Create Dashboards
    1. Create a Dashboard
    2. Real-time Dashboards
    3. Enhance a Dashboard
    4. Lab: Create a Power BI Dashboard
  9. Create Paginated Reports in Power BI
    1. Paginated report overview
    2. Create Paginated reports
    3. Lab: Create a Power BI Paginated Report
  10. Perform Advanced Analytics
    1. Advanced Analytics
    2. Data Insights through AI visuals
    3. Lab: Perform Data Analysis in Power BI Desktop
  11. Create and Manage Workspaces
    1. Creating Workspaces
    2. Sharing and Managing Assets
  12. Manage Datasets in Power BI
    1. Parameters
    2. Datasets
  13. Row-level security
    1. Security in Power BI

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Refund Policy

A student who cancels within 7 days of signing the enrollment agreement but before instruction begins receives all monies returned with the exception of the non-refundable registration fee.

Thereafter, a student will be liable for:

  • The non-refundable registration fee of $100 plus
  • The cost of any textbooks or supplies accepted plus
  • Tuition liability as of the student's last date of physical attendance
If Termination Occurs

  • Prior to or during the first week - 0% Penalty
  • During the second week - 25% Penalty
  • During the third week - 50% Penalty
  • During the fourth week - 75% Penalty
  • After the fourth week - 100% Penalty

The failure of a student to notify CourseHorse in writing of withdrawal may delay a refund of tuition.

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NetCom Learning

NetCom Learning delivers top-quality training and certification solutions to businesses, individuals and government agencies.

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Since its inception in 1998, NetCom has trained over 95 percent of the Fortune 500, serviced over 23,000 business customers, and advanced the skills and careers of over...

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