Kód školení: DA100
This 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.
Course outline
Module 1: Introduction
This module explores the landscape of the Power BI portfolio and describes several use cases for Power BI. The course then identifies and describes the role and responsibilities of a Data Analysts.
Lessons
Lab : Getting Started
After completing this module, students will be able to:
Module 2: Getting and Profiling Data
This module explores identifying and connecting to different data sources. The student will also learn the basics on how to identify and optimize query performance issues. They will also learn how to perform proper data profiling in preparation for the subsequent step of cleaning and shaping the data prior to loading the data.
Lessons
Lab : Preparing Data in Power BI Desktop
After completing this module, students will be able to:
Module 3: Cleaning and Transforming Data
This module teaches the fundamental concepts of designing a data model for proper performance and scalability. It instills in the student a list of items to think about prior to building the model.
Lessons
Lab : Loading Data in Power BI Desktop
After completing this module, students will be able to:
Module 4: Designing a Data Model
This module teaches the fundamental concepts of designing a data model for proper performance and scalability. It instills in the student a list of items to think about prior to building the model.
Lessons
Lab : Data Modeling in Power BI Desktop
After completing this module, students will be able to:
Module 5: Developing a Data Model
In this module the student will apply the steps learned in the previous module and build a data model while learning and implementing additional items to create the foundation of the model. The student will be introduced to initial security concepts and the Q&A feature in this module.
Lessons
Lab : Advanced Data Modeling
After completing this module, students will be able to:
Module 6: Creating Model Calculations with DAX
This module first introduces the student to DAX and some of the critical functions and operators necessary to enhance a data model, including the concepts of Measures, and calculated columns and tables, and Time Intelligence.
Lessons
Lab : Using DAX in Power BI - Part 1
Lab : Using DAX in Power BI - Part 2
After completing this module, students will be able to:
Module 7: Optimizing Model Performance
In this module the student is introduced to steps, processes, and concepts necessary to optimize a data model for enterprise-level performance.
Lessons
After completing this module, students will be able to:
Module 8: Creating Reports
This module introduces the student to the fundamental concepts and principles of building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality including slicing and filtering. This important topic of designing for accessibility is also covered.
Lessons
Lab : Designing a report in Power BI Desktop - Part 1
After completing this module, students will be able to:
Module 9: Enhancing Reports for Usability and Performance
This module helps the student think beyond the basics of report building and discusses topics for enhancing the report for usability and performance. The student will leave this module with knowing that a report is not something to just look at, but is a living canvas that tells a story, and should be designed as such.
Lessons
Lab : Designing a report in Power BI Desktop - Part 2
After completing this module, students will be able to:
Module 10: Creating Dashboards
In this module the student learns about dashboards and the many features and functionality they contain. The student learns how to take the report they built in the previous module and pin it to a dashboard, then enhance to dashboard for additional usability and insights.
Lessons
Lab : Creating a Power BI Dashboard
After completing this module, students will be able to:
Module 11: Enhancing Reports and Applying Advanced Analytics
This module helps the student apply additional features to enhance the report for analytical insights in the data, equipping the student with the steps to use the report for actual data analysis. This module will also arm the student with additional steps and concepts to apply and perform advanced analytics on the report for even deeper and meaningful data insights.
Lessons
Lab : Data Analysis in Power BI Desktop
After completing this module, students will be able to:
Module 12: Managing and Sharing Power BI Assets
In this module the student will learn the concepts of managing Power BI assets, including datasets and workspaces, as well as how to apply role-level security to a dataset. This module teaches the student how to create and manage workspaces, as well as how to share content, including reports and dashboard, and how to distribute an App.
Lessons
Lab : Publishing and Sharing Power BI Content
After completing this module, students will be able to:
Module 13: Working with Paginated Reports in Power BI
This module will teach the student about paginated reports. The student will learn what they are how they fit into the Power BI spectrum, and then look at how to build and publish a report.
Lessons
Lab : Creating a Paginated report
After completing this module, students will be able to:
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the information found in the Azure Fundamentals course.
31.900,- | Kč bez DPH |
38.599,- | Kč s DPH |
Datum | Garantovaný | Lokalita | Jazyk kurzu | Délka kurzu | |
15. března 2021 | (Garantovaný) | Praha | Angličtina | 4 dny | Registrovat |
6. září 2021 | - | Praha | Čeština | 4 dny | Registrovat |
6. září 2021 | - | Praha | Angličtina | 4 dny | Registrovat |
6. září 2021 | - | Bratislava | Slovenština | 4 dny | Registrovat |
Datum | Jazyk kurzu | Délka kurzu | |
15. března 2021 | Angličtina | 4 dny | Registrovat |
19. dubna 2021 | Čeština | 4 dny | Registrovat |
19. dubna 2021 | Angličtina | 4 dny | Registrovat |
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