Datu analīze ar Microsoft Power BI

Mācību ietvaros būs iespēja apgūt populārākās metodes datu modelēšanai, vizualizēšanai un analīzei, izmantojot Microsoft Power BI. Tāpat iemācīsies, kā: piekļūt datiem, tos pareizi apstrādāt, izmantojot gan relāciju, gan ne-relāciju avotus, veidot interaktīvās un automatizējamās atskaites, kā arī veikt to kopīgošanu un pārvaldību.

Kursa ilgums, akadēmiskās stundas: 24
Cena (bez PVN): 1050,00 
Cena (ar PVN): 1270,50 
Pasniedz: Aldis Ērglis
Aldis Ērglis
Aldis Ērglis ir biznesa procesu, produktu un projektu vadītājs ar specializāciju informācijas tehnoloģiju un pasūtījuma programmatūras izstrādes nozarēs. Neskaitāmi projekti un komandu vadīšanas pieredzes pierāda prasmes biznesa analīzē, biznesa plānošanā un operāciju vadībā. Tomēr, neskatoties uz profesionālo darbību, pasniedzējs ir arī datu entuziasts, kurš sniedz ļoti daudz vērtīga kursu dalībniekiem.

Jānis Stūris
Jānis Stūris
Microsoft sertificēts datu analītiķis ar vairāk kā 10 gadu pieredzi. Ikdienā galvenokārt strādā ar Microsoft Excel, Microsoft Power BI un programmēšanas valodu R. Atrisina plašu uzdevumu spektru - gan datu ieguvi no dažādiem datu avotiem, gan datu apstrādes un analīzes procesus automatizāciju un apjomīgu tabulu pasniegšanu viegli un skaidri uztveramās vizualizācijās.

Emīls Ludvigs Ērglis
Emīls Ludvigs Ērglis
Datu analīzes speciālists ar mērķi uzlabot klientu pieredzi un piedāvāt kvalitatīvus pakalpojumus. Lektors kopš 2019. gada.

Plāni

12. aprīlis, 2024 - 16. aprīlis, 2024
Vieta:
Attālināti
Valoda:
lv
Pasniedz:
Jānis Stūris
Cena (bez PVN):
1050,00 
Cena (ar PVN):
1270,50 
Sazināties

Piesakies vai uzdod jautājumu!

 

Ja vēlies pieteikties kursam vai uzdot jautājumu par to, droši izmanto šo formu!

Lūdzu ievadi savu vārdu, uzvārdu
Lūdzu ievadi uzņēmuma nosaukumu
Lūdzu ievadi savu telefona numuru
Lūdzu ievadi savu e-pastu

Paldies! Mēs ar Tevi sazināsimies.

Nodarbību grafiks:
12.04.2024 09:00-16:15
15.04.2024 09:00-16:15
16.04.2024 09:00-16:15
Mācību mērķis

The PL-300T00 course is designed to provide an overview of the Microsoft Power Platform and its capabilities for creating low-code/no-code business applications. The objective of the course is to enable participants to create custom business applications with the Power Platform, and to understand how these applications can be used to solve real-world business problems.
Upon completion of the course, participants will be equipped with the skills and knowledge needed to become a certified Power Platform functional consultant.

Mērķauditorija

The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.

Pēc mācībām Tu pratīsi
  • 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.
Priekšnoteikumi mācību apmeklēšanai

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.

Mācību materiāli

Elektroniski mācību materiāli Microsoft Learn mācību vidē (piekļuve kursa praktisko darbu videi 180 dienas pēc mācību uzsākšanas).

Sertifikācijas eksāmens
Programma

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

Lab: Getting Started in Power BI Desktop

  • Getting Started

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

Lab: Preparing Data in Power BI Desktop

  • Prepare Data

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

Lab: Transforming and Loading Data in Power BI Desktop

  • Loading Data

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

Lab: Data Modeling in Power BI Desktop

  • Create Model Relationships
  • Configure Tables
  • Review the model interface
  • Create Quick Measures

Lab: Advanced Data Modeling in Power BI Desktop

  • Configure many-to-many relationships
  • Enforce row-level security

5. Create Model Calculations 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

Lab: Advanced DAX in Power BI Desktop

  • Use the CALCULATE() function to manipulate filter context
  • Use Time Intelligence functions

Lab: Introduction to DAX in Power BI Desktop

  • Create calculated tables
  • Create calculated columns
  • Create measures

6. Optimize Model Performance in Power BI

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

7. Create Reports in Power BI

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

Lab: Designing a report in Power BI Desktop

  • Create a live connection in Power BI Desktop
  • Design a report
  • Configure visual fields and format properties

Lab: Enhancing reports with interaction and formatting in Power BI Desktop

  • Create and configure Sync Slicers
  • Create a drillthrough page
  • Apply conditional formatting
  • Create and use Bookmarks

8. Create Dashboards in Power BI

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

Lab: Creating a Dashboard in Power BI Service

  • Create a Dashboard
  • Pin visuals to a Dashboard
  • Configure a Dashboard tile alert
  • Use Q&A to create a dashboard tile

9. Enhance reports for usability and storytelling 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

Lab: Creating a Paginated report in Power BI Desktop

  • Use Power BI Report Builder
  • Design a multi-page report layout
  • Define a data source
  • Define a dataset
  • Create a report parameter
  • Export a report to PDF

10. Perform Advanced Analytics in Power BI

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

Lab: Data Analysis in Power BI Desktop

  • Create animated scatter charts
  • Use the visual to forecast values
  • Work with Decomposition Tree visual
  • Work with the Key Influencers visual

11. 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
  • Security in Power BI

12. Create and Manage Workspaces in Power BI

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

Lab: Publishing and Sharing Power BI Content

  • Map security principals to dataset roles
  • Share a dashboard
  • Publish an App

Ja vēlies iegūt vairāk informācijas par šo kursu, sazinies ar mums pa tālruni 67505091 vai raksti mums e-pastu uz mrn@bda.lv.