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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.

Python for Data Science Bootcamp

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Uncover the power of Python for analyzing real-world data sets in this hands-on course at Noble Desktop. Explore Python fundamentals and learn how to create programs, work with data, visualize insights, and develop machine learning models. Elevate your data science skills with the Python for Data Science Bootcamp.

(374) All levels 18 and older

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Data Analytics Certificate

Noble Desktop - Virtually Online

Gain in-demand skills in data analysis, visualization, and database management to become a sought-after Data Analyst or Business Analyst. Learn to extract information from raw data and generate actionable insights for industries like healthcare, finance, retail, and more. Advance your career in analytics with real-world projects and hands-on training.

(374) All levels 18 and older

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SQL Bootcamp

Noble Desktop - Virtually Online

Master the art of turning raw data into actionable insights with SQL queries. This hands-on course will teach you how to filter, group, and join data, as well as use advanced techniques like subqueries and aggregate functions. Gain the skills to excel in any data-driven industry and make more informed decisions.

(374) All levels 18 and older

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Data Analytics Foundations

Noble Desktop - Virtually Online

Explore the power of data analytics and its impact on decision-making across industries. Gain a solid foundation in statistical modeling and learn how to turn data into actionable insights. Enroll in this beginner-friendly course to unlock the potential of data in today's business world.

(374) All levels 18 and older

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Data Analysis Fundamentals: A Hands-on Workshop

American Management Association

Learn powerful data analysis methods and tools to make smarter business decisions in this hands-on workshop. Upgrade your skills in organizing, interpreting, and utilizing data to inform data-driven decision-making. Ideal for business professionals seeking to handle data overload and solve problems effectively.

(5) All levels 21 and older
No upcoming schedules

2 sessions

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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


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.



  • 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


  • 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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                                                                      NetCom Learning

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


                                                                      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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