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Un curs practic din categoria cursurilor online Power BI, inlocuitor pentru cursul DA-100: Analyzing Data with Microsoft Power BI. Predarea se face de catre traineri certificati, in limba romana, insa trebuie tinut cont de faptul ca materialul va fi in limba engleza. Durata acestui curs de Power BI este de 3 zile, 24h de studiu in cadrul caruia vor fi prezentate conceptele de baza in ceea ce priveste lucrul cu aplicatia Power BI. Se vor studia metode pentru editarea, vizualizarea si analiza datelor cu ajutorul PowerBI.<\/p>\n
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Audienta:Persoane fizice+Persoane juridice
\nTechnologie:Microsoft Excel 2013\/2016\/ Microsoft Power BI
\nNivel: Mediu
\nModalitate de desfasurare: Cursuri Online – Power BI Online livrat prin intermediul Microsoft Teams
\nDurata 1: 3 zile x 8h\/zi, program: (L-V interval 9:00-17:00)
\nDurata 2: 24 ore, program: 6 sesiuni a cate 4h\/zi\u00a0 (L-V distribuite pe intervalul 9:00-17:00)<\/p>\n
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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.<\/p>\n
After completing this module, students will be able to:<\/p>\n
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.<\/p>\n
After completing this module, students will be able to:<\/p>\n
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.<\/p>\n
After completing this module, students will be able to:<\/p>\n
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.<\/p>\n
After completing this module, students will be able to:<\/p>\n
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.<\/p>\n
After completing this module, students will be able to:<\/p>\n
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.<\/p>\n
After completing this module, students will be able to:<\/p>\n
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.<\/p>\n
After completing this module, students will be able to:<\/p>\n
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.<\/p>\n
After completing this module, students will be able to:<\/p>\n
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.<\/p>\n
After completing this module, students will be able to:<\/p>\n
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.<\/p>\n
After completing this module, students will be able to:<\/p>\n
This module will introduce you to parameters and datasets. You will also learn how to manage datasets and parameters, build dynamic reports with parameters, and set dataset refresh options.<\/p>\n
After completing this module, students will be able to:<\/p>\n
This module will introduce you to row-level security, both static and dynamic methods, and how to implement.<\/p>\n
After completing this module, students will be able to:<\/p>\n
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