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M20778 – Analyzing Data with Power BI

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This course will provide students with a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.

Course Outline:

Course Outline:

Introduction to Self-Service BI Solutions

  • Introduction to business intelligence
  • Introduction to data analysis
  • Introduction to data visualization
  • Overview of self-service BI
  • Considerations of self-service BI
  • Microsoft tools for self-service BI

Introducing Power BI

  • Power BI
  • The Power BI service

Power BI

  • Using Excel as a data source for Power BI
  • The Power BI data model
  • Using databases as a Power BI data source
  • The Power BI service

Shaping and Combining Data

  • Power BI desktop queries
  • Shaping data
  • Combining data

Modeling Data

  • Relationships
  • DAX queries
  • Calculations and measures

Interactive Data Visualizations

  • Creating Power BI reports
  • Managing a Power BI solution

Direct Connectivity

  • Cloud data
  • Connecting to analysis services

Developer API

  • The developer API
  • Custom Visuals

Power BI mobile app

  • Power BI mobile apps
  • Using the Power BI mobile app
  • Power BI embedded

Labs:

  • Lab 1: Exploring an Enterprise BI Solution
  • Lab 2: Creating a Power BI Dashboard
  • Lab 3: Importing Data into Power BI
  • Lab 4: Shaping and Combining Data
  • Lab 5: Modeling Data
  • Lab 6: Creating a Power BI Report
  • Lab 7: Direct Connectivity
  • Lab 8: Using the Developer API

Course Audience & Prerequisites:

Audience

  • Business analysts
  • Business intelligence developers
  • SQL professionals

Prerequisites

  • 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)

Course Offerings:

Instructor-Led In Classroom (3 days)

Newcomp can directly deliver courses through the use of in-class training facilities. Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor-Led Online (3 days)

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples. ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced

Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC.  Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.

  • Course Outline
  • Course Audience & Prerequisites
  • Course Offerings
  • Related Courses

Course Outline:

Introduction to Self-Service BI Solutions

  • Introduction to business intelligence
  • Introduction to data analysis
  • Introduction to data visualization
  • Overview of self-service BI
  • Considerations of self-service BI
  • Microsoft tools for self-service BI

Introducing Power BI

  • Power BI
  • The Power BI service

Power BI

  • Using Excel as a data source for Power BI
  • The Power BI data model
  • Using databases as a Power BI data source
  • The Power BI service

Shaping and Combining Data

  • Power BI desktop queries
  • Shaping data
  • Combining data

Modeling Data

  • Relationships
  • DAX queries
  • Calculations and measures

Interactive Data Visualizations

  • Creating Power BI reports
  • Managing a Power BI solution

Direct Connectivity

  • Cloud data
  • Connecting to analysis services

Developer API

  • The developer API
  • Custom Visuals

Power BI mobile app

  • Power BI mobile apps
  • Using the Power BI mobile app
  • Power BI embedded

Labs:

  • Lab 1: Exploring an Enterprise BI Solution
  • Lab 2: Creating a Power BI Dashboard
  • Lab 3: Importing Data into Power BI
  • Lab 4: Shaping and Combining Data
  • Lab 5: Modeling Data
  • Lab 6: Creating a Power BI Report
  • Lab 7: Direct Connectivity
  • Lab 8: Using the Developer API

Audience

  • Business analysts
  • Business intelligence developers
  • SQL professionals

Prerequisites

  • 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)

Instructor-Led In Classroom (3 days)

Newcomp can directly deliver courses through the use of in-class training facilities. Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor-Led Online (3 days)

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples. ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced

Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC.  Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.

ALT50G – Alteryx Intermediate Concepts with Microsoft Power BI

This course prepares students to undergo sophisticated data analytics in Alteryx Designer and data visualization in Microsoft Power BI. Students will learn advanced data preparation, cleansing, and transformation tools in Alteryx Designer. They will understand the nuances of analyzing data in and outside of a live database environment. Spatial topics will be covered to enable students to design spatial workflows in Alteryx Designer. Students will also learn best practices for visual analytics, connecting to a visualization environment (Microsoft Power BI), and illustrating their analytical insights in their preferred visualization software.