This course is the new, renamed version of DA-100: Analyzing Data with Microsoft Power BI; the course content and certification remain the same.
The content of this intensive training is derived from the exam "PL-300: Microsoft Power BI Data Analyst". Start preparing for the course now on Microsoft Learn. During the intensive training days with our trainer , you will work with the official Microsoft course materials.
Module 1: Getting Started with Microsoft Data Analytics
This module explores the different roles in the data space, outlines the important roles and responsibilities of a data analyst, and then examines the landscape of the Power BI portfolio.
Lessons
Lab: First steps
Module 2: Preparing Data in Power BI
This module covers identifying and retrieving data from various data sources. You will also learn about connectivity and data storage options and understand the difference and performance impact of connecting directly to data versus importing it.
Lessons
Lab: Preparing data in Power BI Desktop
Module 3: Cleaning, Transforming and Loading Data into Power BI
This module teaches you the process of profiling and understanding the state of the data. You will learn to identify anomalies, look at the size and shape of your data and perform the correct data cleansing and transformation steps to prepare the data for loading into the model.
Lessons
Lab: Transforming and loading data
Module 4: Designing a Data Model in Power BI
This module teaches the fundamental concepts of designing and developing a data model for appropriate performance and scalability. This module will also help you understand and address many of the common data modeling issues, including relationships, security, and performance.
Lessons
Lab: Data modeling in Power BI Desktop
Lab: Advanced data modeling in Power BI Desktop
Module 5: Create measures with DAX in Power BI
This module introduces you to the world of DAX and its true power to improve 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.
Lessons
Lab: Introduction to DAX in Power BI Desktop
Lab: Advanced DAX in Power BI Desktop
Module 6: Optimizing Model Performance
In this module, you will become familiar with the steps, processes, concepts and best practices for data modeling required to optimize a data model for enterprise-level performance.
Lessons
Module 7: Creating Reports
This module introduces participants to the basic concepts and principles of report creation, including choosing the right graphics, designing a page layout and applying basic but critical features such as cropping and filtering. The important topic of designing for accessibility is also covered.
Lessons
Lab: Designing a report in Power BI
Lab: Improving Power BI reports through interaction and formatting
Module 8: Creating Dashboards
In this module, you will learn how to tell a compelling story using dashboards and the various navigation tools available for navigation. You will be introduced to features and functions and learn how to enhance dashboards for usability and insights.
Lessons
Lab: Designing a report in Power BI Desktop - Part 1
Module 9: Creating paginated reports in Power BI
In this module, you will learn more about paginated reports, including how they fit into Power BI. You will then learn how to create and publish a report.
Lessons
Lab: Creating a paginated report
Module 10: Performing Advanced Analytics
This module will help you apply additional features to enhance the report for analytical insights into the data and give you the ability to use the report for actual data analysis. You will also perform advanced analytics using AI graphs in the report for even deeper and more meaningful data insights.
Lessons
Lab: Data analysis in Power BI Desktop
Module 11: Creating and managing workspaces
This module introduces you to workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then how to distribute an app.
Lessons
Lab: Publishing and sharing Power BI content
Module 12: Managing Data Sets in Power BI
In this module, you will learn the concepts of managing Power BI assets, including data sets and workspaces. You will also publish datasets to the Power BI service and then update and back them up.
Lessons
Module 13: Row-level security
In this module, you will learn how to implement and configure security in Power BI to secure Power BI assets.
Lessons
This intensive training prepares you for:
Exam: " PL-300: Microsoft Power BI Data Analyst " for the
certification: " Microsoft Certified: Data Analyst Associate "
This course consists of training training and is led by a trainer who supervises the participants live. Theory and practice are taught with live demonstrations and practical exercises. The video conferencing software Zoom is used.
This course is designed for data professionals and business experts experts who want to learn how to perform accurate data analysis with Power BI. This course is also intended for individuals who develop reports or visualize data from data platform technologies that exist both in the cloud and on-premises. In addition to their professional experience, participants should have technical knowledge equivalent to the information in the Power Platform Fundamentals or Dynamics 365 Fundamentals course.
Form of learning
Learning form
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This training is conducted in cooperation with the authorized training organization Digicomp Academy AG.
For the purpose of conducting the training, participants' data will be transmitted to them and processed there under their own responsibility.
Please take note of the corresponding privacy policy.