Data Analytics & Visualization with Power BI

Course Overview

This Analyzing Data with Power BI training class will discuss the various methods and best practices that are in line with business and technical requirements for modelling, 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.

We will explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups and 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.

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.

Class Goals

• 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

• Create paginated reports in Power BI

Course Outline

Module 1: Overview

• Get Power BI Desktop

• Getting started with Power BI Desktop

Module 2: Connect to Data

• Data Sources in Power BI Desktop

• Connect to web data

• Import Excel Workbooks

• Analysis Services Tabular Data

Module 3: Shape and Combine Data

• Query overview

• Shape and combine data

• Data categorization

• Relationship view

• Create and manage relationships in Power BI Desktop

• Common query tasks

Module 4: Data Fundamentals

• Data Type in Power BI Desktop

• Measures in Power BI Desktop

• Tutorial: Create your own measures

• Calculated columns

• Tutorial: Create calculated columns

• DAX Basics

• Calculated tables

Module 5: Working with Financial Reports

• Report View

• Sort by column

• Tips and tricks for creating reports

• Import and display KPIs

Module 6: Creating Solutions

• Tutorial: Importing and analyzing data from a web page

• Tutorial: Analyzing sales data from Excel and an OData feed

Module 7: Sharing your Work

• Publish from Power BI Desktop

• Dashboards in Power BI

• Share a dashboard from Power BI

Class Materials

Each student will receive a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this Microsoft Business Intelligence class:

• 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.

How To Register

Click Here to Apply through our online form or email us at [email protected]