Training Course: Power BI Data Analyst

Introduction

The Power BI data analyst provides actionable understandings by leveraging available data and applying domain expertise. The Power BI data analyst cooperates with key stakeholders across verticals to identify business requirements, cleans and transforms the data, and then designs and builds data models by using Power BI. The Power BI data analyst provides meaningful business value through easy-to-comprehend data visualizations, enables others to perform self-service analytics, and deploys and configures solutions for consumption. Candidates for this exam should be proficient in using Power Query and writing expressions by using DAX.

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, 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. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

Course Objectives

After completing this training program, participants will know how to:

• Prepare the data

• Model the data

• Visualize and analyze the data

• Deploy and maintain assets

Target Audience

This course is targeted:

• Data professionals

• Business intelligence professionals who want to learn how to accurately perform data analysis using Power BI.

• Individuals who develop reports that visualize data from the data platform technologies that exist both in the cloud and on-premises.

Course Outlines

Discover data analysis

• Overview of data analysis

• Roles in data

• Tasks of a data analyst

Building with Power BI

• Use Power BI

• Building blocks of Power BI

• Tour and use the Power BI service

Prepare data for analysis

Get data in Power BI

• Get data from files

• Get data from relational data sources

• Get data from a NoSQL database

• Get data from online services

• Select a storage mode

• Get data from Azure Analysis Services

• Fix performance issues

• Resolve data import errors

Clean, transform and load data in Power BI

• Shape the initial data

• Simplify the data structure

• Evaluate and change column data types

• Combine multiple tables into a single table

• Profile data in Power BI

• Use Advanced Editor to modify M code

Design a data model in Power BI

• Work with tables

• Create a date table

• Work with dimensions

• Define data granularity

• Work with relationships and cardinality

• Resolve modeling challenges

Introduction to creating measures using DAX in Power BI

• Understand context

• Use the Calculate function

• Use relationships effectively

• Create semi-additive measures

• Lab - Introduction to DAX in Power BI Desktop

• Work with time intelligence

Optimize a model for performance in Power BI

• Review performance of measures, relationships, and visuals

• Use variables to improve performance and troubleshooting

• Reduce cardinality

• Optimize DirectQuery models with table-level storage

• Create and manage aggregations

Visualize data in Power BI

Work with Power BI visuals

• Add visualization items to reports

• Choose an effective visualization

• Format and configure visualizations

• Import a custom visual

• Add an R or Python visual

• Work with key performance indicators

Create a data-driven story with Power BI reports

• Design a report layout

• Add buttons, bookmarks, and selections

• Design report navigation

• Use basic interactions

• Use advanced interactions and drill through

• Configure conditional formatting

• Apply slicing, filtering, and sorting

• Publish and export reports

• Comment on reports

• Tune report performance

• Optimize reports for mobile use

Create dashboards in Power BI

• Configure data alerts

• Explore data by asking questions

• Add a dashboard theme

• Pin a live report page to a dashboard

• Configure a real-time dashboard

• Configure data classification

• Set mobile view

Create paginated reports 

• Get data

• Create a paginated report

• Work with charts on the report

• Publish the report

Data analysis in Power BI

Perform analytics in Power BI

• Explore statistical summary

• Identify outliers with Power BI visuals

• Group and bin data for analysis

• Apply clustering techniques

• Conduct time series analysis

• Use the Analyze feature

• Use advanced analytics custom visuals

• Review Quick insights

• Apply AI Insights

Work with AI visuals in Power BI

• Use the Q&A visual

• Find important factors with the Key influencer's visual

• Use the Decomposition Tree visual to break down a measure