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Microsoft Power BI Data Analyst is unfortunately unavailable

Thankfully we have 164 other Data Analyst Classes for you to choose from. Check our top choices below or see all classes for more options.

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Microsoft Power BI Data Analyst

Unlock the power of data insights with the Microsoft Power BI Data Analyst course. Learn how to analyze and visualize data using Power BI, access and process data from various sources, and implement security standards. Gain the skills to design and create reports, perform advanced analytics, and manage and share report assets.

  • All levels
  • 16 and older
  • $1,895
  • Earn 10% Rewards
  • Price Lock
  • Live Online Training
  • 24 hours over 3 sessions

Start Dates (0)

  • $1,895
  • 24 hours over 3 sessions
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Class Description

Description

What you'll learn in this data analyst training:

PL-300T00: Microsoft Power BI Data Analyst course is designed for candidates who enjoy analyzing data and using Power BI to discover and unlock meaningful data insights.

This course covers Microsoft PL-300 exam objectives and offers the best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The training provides access and process data from a range of data sources, including both relational and non-relational data.

PL-300T00: Microsoft Power BI Data Analyst course also explores how to implement proper security standards and policies across the Power BI spectrum, including datasets and groups. The course will discuss managing and deploying reports and dashboards for sharing and distributing content. Finally, this course will teach how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

One Microsoft exam voucher is included with the class.

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 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

Course Outline

    1. Get Started with Microsoft Data Analytics
      1. Data Analytics and Microsoft
      2. Getting Started with Power BI
      3. Lab: Getting Started in Power BI Desktop
    2. Prepare Data in Power BI
      1. Get data from various data sources
      2. Lab: Preparing 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: Transforming and Loading 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: Data Modeling in Power BI Desktop
      5. Lab: Advanced Data Modeling in Power BI Desktop
    5. Create Model Calculations using DAX in Power BI
      1. Introduction to DAX
      2. DAX context
      3. Advanced DAX
      4. Lab: Advanced DAX in Power BI Desktop
      5. Lab: Introduction to DAX in Power BI Desktop
    6. Optimize Model Performance in Power BI
      1. Optimze the model for performance
      2. Optimize DirectQuery Models
      3. Create and manage Aggregations
    7. Create Reports in Power BI
      1. Design a report
      2. Enhance the report
      3. Lab: Designing a report in Power BI Desktop
      4. Lab: Enhancing reports with interaction and formatting in Power BI Desktop
    8. Create Dashboards in Power BI
      1. Create a Dashboard
      2. Real-time Dashboards
      3. Enhance a Dashboard
      4. Lab: Creating a Dashboard in Power BI Service
    9. Enhance reports for usability and storytelling in Power BI
      1. Paginated report overview
      2. Create Paginated reports
      3. Lab: Creating a Paginated report in Power BI Desktop
    10. Perform Advanced Analytics in Power BI
      1. Advanced Analytics
      2. Data Insights through AI visuals
      3. Lab: Data Analysis in Power BI Desktop
    11. Manage Datasets in Power BI
      1. Parameters
      2. Datasets
      3. Security in Power BI
    12. Create and Manage Workspaces in Power BI
      1. Creating Workspaces
      2. Sharing and Managing Assets
      3. Lab: Publishing and Sharing Power BI Content

                                                                      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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