20778 : Analyzing Data with Power BI

10985 : Introduction to SQL Databases
01/10/2019
τεστ

20778 : Analyzing Data with Power BI

The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.

 

The duration of the program :

Classroom
Instructor Led : 24 h

Live Online
Instructor Led : 16h (+8 h Labs/Practice)

On-Demand Online
Self-paced : 90 days

The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data.

Module 1: Introduction to Self-Service BI Solutions

Introduces business intelligence (BI) and how to self-serve with BI.

·      Introduction to business intelligence

·      Introduction to data analysis

·      Introduction to data visualization

·      Overview of self-service BI

·      Considerations for self-service BI

·      Microsoft tools for self-service BI

 

Module 2: Introducing Power BI

This module introduces Power BI desktop, and explores the features that enable the rapid creation and publication of sophisticated data visualizations.

·         Power BI

·      The Power BI service

 

Module 3: Power BI

At the end of this module students will be able to explain the rationale and advantages of using Power BI.

·      Using Excel as a data source for Power BI

·      The Power BI data model

·      Using databases as a data source for Power BI

·      The Power BI service

 

Module 4: Shaping and Combining Data

With Power BI desktop you can shape and combine data with powerful, buil-in tools. This module introduces the tools that are available for preparing your data, and transforming it into a form ready for reporting.

·      Power BI desktop queries

·      Shaping data

·      Combining data

.

Module 5: Modeling data

This module describes how to shape and enhance data.

·      Relationships

·      DAX queries

·      Calculations and measures

 

Module 6: Interactive Data Visualizations

This module describes how to create and manage interactive data visualizations.

·      Creating Power BI reports

·      Managing a Power BI solution

 

Module 7: Direct Connectivity

This module describes various connectivity options using Power BI.

·      Cloud data

·      Connecting to analysis services

 

Module 8: The Developer API

This module describes the developer API within Power BI.

·      The developer API

·      Custom visuals

 

Module 9: Power BI mobile app

This module describes the Power BI mobile app.

·      Power BI mobile apps

·      Using the Power BI mobile app

·      Power BI embedded

Before attending this course, students must have:

·      Excellent knowledge of relational databases and reporting.

·      Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).

·      Some exposure to basic programming constructs (such as looping and branching).

·      An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.

·      Familiarity with Microsoft Office applications – particularly Excel.

Τόπος Ημερομηνίες Ωράριο Μέθοδος
Αθήνα 21,22,24,25/10 Δε,Τρ, Πε,Πα 17:00-22:00 Instructor Led
Θεσσαλονίκη 25,27,29/11 & 4,6/12 Δε,Τε,Πα 17:00-21:15 Instructor Led
Live Online* 11,13,18,20/6 Τρ, Πε 18:00-21:15 Instructor Led
On-Demand Online** άμεσα διαθέσιμο 90 ημέρες Self-paced

* Σύγχρονη εξ αποστάσεως εκπαίδευση με εισηγητή – Virtual Class

** Ασύγχρονη εξ αποστάσεως εκπαίδευση – Self paced




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