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Home > Analyzing Data With Microsoft Power Bi (da-100t00-a)

Analyzing Data with Microsoft Power BI (DA-100T00-A) 

Learnfast is a Microsoft Silver Learning Partner. This is an authorised Microsoft Official Course (MOC), a preparation course for the DA-100: Analyzing Data with Microsoft Power BI. 

Welcome to the Analyzing Data with Microsoft Power BI course. 

 

This four-day 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. 

 

Job role: Developer 

 

 

Features & Benefits

          

  • Learners will gain confidence to take other role-based courses and certifications. 
  • An additional fee is payable for exam vouchers. 
  • Take full advantage of our new Hybrid Learning by attending on campus or virtually. Have all your classes ready to be downloaded and watched, anytime, anywhere. (Read More)

          

  • Attendees will learn practical skills which can be applied in the work environment.  

Outcomes & Objectives

Upon completion of this course, learners will have acquired these skills 

  • 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 

  • Pricing & Payment Options

    NEW SECTION

  • Duration

    In Class/Virtual Class, Hybrid Learning (Learn More) 

    • 4 Days (08:30 – 16:00) Classes are  presented via our Hybrid Learning allowing  learners the flexibility to attend on campus or in the comfort of their home or workplace. 

  • Course Prerequisites

    Successful Data Analysts start this role with experience of working with data in the cloud. 

    Specifically: 

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

    You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals before taking this course. 

    • You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals before taking this course. 

Our Delivery Methods

Our innovative "myWay” learning methodology is built around the students individual learning requirement, allowing each student to learn in a style that is most suitable for their skills set, knowledge and schedule.

Instructor-Led Classes

Reach your full potential through our “myWay Instructor-Led” classes combined with interactive lessons, supporting video content, practical assignments and in field experience, done during the traditional 08:00 – 16:00 working day.

Learn more

Online Mentored Learning

Do a course at your pace via our “myWay Online Mentored Learning”, combining self-study with supported interactive online video lectures, an online course mentor, extra resources, questionnaires and more, all supported via out Online Student Portal.

Learn more

Part Time Mentored Learning

Designed for the working professional, our part time programmes provides you with the flexibility and benefit of our myWay Blended Learning with at home exercises/assignments and mentored or in-class lectures at a manageable schedule and pace.

Learn more

Our Hybrid Delivery Methods

Our Hybrid Delivery Methods

myWay Hybrid Learning is a technology mediated delivery method that extends the benefit of flexibility and technology to all students. Each Hybrid delivery method is described in the section below.

#AnywhereAnytime

Have all your classes ready to be downloaded and watched, anytime, anywhere.

#NoStudentLeftBehind

Never miss a classs because of health, traffic, or transport issues.

#Flexibility

A personalized class schedule, attend class on campus, virtually or both.

 

In Class or Virtual Class Based Learning

A technology mediated delivery method allowing campus based class or virtual class attendance, or a combination of both. Classes can be in the form of lecture based or mentored based.

LEARN MORE
 

Mentored Online Learning

A technology mediated, self paced online delivery method with personal mentorship.

LEARN MORE

What you get

On completion the learner will earn:   

 

Note: All certificates are electronically issued.  

 

Important Notes

  • Learners to arrive at the training venue from 08:00 in preparation for 08:30 starting time 
  • Bookings are only confirmed upon receipt of the proof of payment or an official company purchase order. 
  • For full day, on campus courses, Learnfast will supply you with a computer to use for training (if applicable),& tea/coffee and a full lunch. Catering is not included for On-Site training and laptops are available for hire at an additional cost if required. 
  • Cancellation or rescheduling requests must be in writing and reach us via email at least 5-10 working days prior to the course commencement date. Full course fees will be retained for no shows. 
  • Virtual learners are required to have a stable internet connection & a working headset available for sound purposes.  
  • Learners who use their own laptops are fully responsible to ensure that administration rights, software installations, etc. are working sufficiently prior to training. 
  • Learnfast reserves the right to cancel or postpone dates if we require to do so and undertake to inform clients in writing and telephonically of these changes. 
  • Learnfast is not responsible for costs associated with cancellation of classes such as flight and accommodation for clients. 
 
Module 1: Get Started with Microsoft Data Analytics
This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.
 
  • Data Analytics and Microsoft
  • Getting Started with Power BI
 
Module 2: Prepare Data in Power BI
This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage, and understand the difference and performance implications of connecting directly to data vs. importing it.
  • Get data from various data sources
  • Optimize performance
  • Resolve data errors
 
Module 3: Clean, Transform, and Load Data in Power BI
This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.
 
  • Data shaping
  • Enhance the data structure
  • Data Profiling
 
Module 4:  Design a Data Model in Power BI
This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.
 
  • Introduction to data modeling
  • Working with tables
  • Dimensions and Hierarchies
 
Module 5: Create Measures using DAX in Power BI
This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.
 
  • Introduction to DAX
  • DAX context
  • Advanced DAX
 
Module 6: Optimize Model Performance
In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.
 
  • Optimze the model for performance
  • Optimize DirectQuery Models
  • Create and manage Aggregations
 
Module 7: Create Reports
This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.
 
  • Design a report
  • Enhance the report
 
Module 8: Create Dashboards
In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.
  • Create a Dashboard
  • Real-time Dashboards
  • Enhance a Dashboard
 
Module 9: Create Paginated Reports in Power BI
This module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.
 
  • Paginated report overview
  • Create Paginated reports
 
Module 10: Perform Advanced Analytics  
This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.
 
  • Advanced Analytics
  • Data Insights through AI visuals
 
Module 11: Create and Manage Workspaces
This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.
 
  • Creating Workspaces
  • Sharing and Managing Assets
 
Module 12: Manage Datasets in Power BI
In this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.
 
  • Parameters
  • Datasets
 
Module 13: Row-level security
This module teaches you the steps for implementing and configuring security in Power BI to secure Power BI assets.
 
  • Security in Power BI
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 19 May 2025
    22 May 2025
    Full Time
  • 14 July 2025
    17 July 2025
    Full Time
  • 08 September 2025
    11 September 2025
    Full Time
  • 17 November 2025
    20 November 2025
    Full Time
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 19 May 2025
    22 May 2025
    Correspondence
  • 14 July 2025
    17 July 2025
    Correspondence
  • 08 September 2025
    11 September 2025
    Correspondence
  • 17 November 2025
    20 November 2025
    Correspondence
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 19 May 2025
    22 May 2025
    Full Time
  • 14 July 2025
    17 July 2025
    Full Time
  • 08 September 2025
    11 September 2025
    Full Time
  • 17 November 2025
    20 November 2025
    Full Time
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 19 May 2025
    22 May 2025
    Full Time
  • 14 July 2025
    17 July 2025
    Full Time
  • 08 September 2025
    11 September 2025
    Full Time
  • 17 November 2025
    20 November 2025
    Full Time

By completing the below online booking, a booking confirmation will be sent out and an invoice will be generated. A place will be reserved on this course and you are expected to attend. If you require a quote first please contact Learnfast offices and speak to a sales consultant.

Analyzing Data with Microsoft Power BI (DA-100T00-A)
  1. By booking for this course, an invoice will be generated and you will be liable for the payment of this invoice. If you require a quote, please contact The CAD Corporation Offices.
  2. After the generation of the invoice a training confirmation will be emailed using the details provided above.
  3. The CAD Corporation retains the rights to change this calendar without any notification.
  4. Tea/coffee and a light lunch will be provided.
  5. All university students will receive a 10% discount for cash payments.
  6. The minimum notice of cancellation is 5 (five) working days prior to the course commencement date. If you fail to do so the full amount is payable.
  7. Students are to be at the training venue by 08h00 in preparation for a 08h30 start time.
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As a valued friend of Learnfast, we take your privacy seriously. The POPI Act comes into effect on 1 July 2021 and, we would like to assure you that we treat your information with sensitivity and confidentiality.

By filling in this form, you agree to receive newsletters and communication from Learnfast.
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