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DA-100: Analyzing Data with Power BI

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

Power BI Course- DA-100: Analyzing Data with Power BICourse Overview

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 you how to access and process data from a range of data sources including both relational and non-relational data's. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. This will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

Audience profile

The audience for this course are data professionals and business intelligence professionals particularly, looking to learn how they can accurately perform data analysis using Power BI. This course also targeted people developing reports that visualize data from the data platform technologies existing on both the cloud and on-premises.

Skills gained

  • 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
  • Lastly, Create paginated reports in Power BI

Prerequisites

Successful Data Analysts start this role with experience of working with data in the cloud.

Specifically:

  • Understanding core data concepts and knowledge of data analysis and visualization concepts.
  • Knowledge of working with relational and non-relational data particularly, on the cloud.

Course outline

Module 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. This also explores the landscape of the Power BI portfolio.

Lessons

  • Data Analytics and Microsoft
  • Getting Started with Power BI

Lab : Getting Started

  • Getting Started

After completing this module, you should be able to;

  • Explore the different roles in data.
  • Identify the tasks that are performed particularly, by a data analyst.
  • Describe the Power BI landscape of products and services.
  • Lastly, Use the Power BI service

Module 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.

Lessons

  • Get data from various data sources
  • Optimize performance
  • Resolve data errors

Lab : Preparing Data in Power BI Desktop

  • Prepare Data

After completing this module, you should be able to;

  • Identify and retrieve data from different data sources
  • Understand the connection methods and their performance implications
  • Optimize query performance
  • Lastly, Resolve data import errors

Module 3: Clean, Transform, and Load Data in Power BI

This module teaches you the process of profiling and understanding the condition of the data. This will also help you learn how to identify anomalies, look at the size and shape of their data. Lastly, this module will also show you how to perform the proper data cleaning and transforming steps to prepare the data for loading into the model.

Lessons

  • Data shaping
  • Enhance the data structure
  • Data Profiling

Lab : Transforming and Loading Data

  • Loading Data

After completing this module, you should be able to;

  • Apply data shape transformations
  • Enhance the structure of the data
  • Lastly, Profile and examine the data

Module 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.

Lessons

  • Introduction to data modeling
  • Working with tables
  • Dimensions and Hierarchies

Power BI Desktop Labs

A : Data Modeling

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

B: Advanced Data Modeling

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

After completing this module, you should be able to;

  • Understand the basics of data modeling
  • Define relationships and their cardinality
  • Implement Dimensions and Hierarchies
  • Lastly, Create histograms and rankings

Module 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. This will also help you learn about aggregations and the concepts of Measures, calculated columns and tables. Lastly this module will show you the Time Intelligence functions to solve calculation and data analysis problems.

Lessons

  • Introduction to DAX
  • DAX context
  • Advanced DAX

Power BI Desktop Labs

A: Introduction to DAX

  • Create calculated tables and columns
  • Create measures

B : Advanced DAX

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

After completing this module, you should be able to;

  • Understand DAX
  • Use DAX for simple formulas and expressions
  • Create calculated tables and measures
  • Build simple measures
  • Lastly, Work with Time Intelligence and Key Performance Indicators

Module 6: Optimize Model Performance

In this module you are introduced to steps, processes and concepts. This also tackles data modeling best practices necessary to optimize a data model for enterprise-level performance.

Lessons

  • Optimze the model for performance
  • Optimize DirectQuery Models
  • Create and manage Aggregations

After completing this module, you should be able to;

  • Understand the importance of variables
  • Enhance the data model
  • Optimize the storage model
  • Lastly, Implement aggregations

Module 7: Create Reports in Power BI

This module introduces you to the fundamental concepts and principles of designing and building a report. This also teaches  you to select the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.

Lessons

  • Design a report
  • Enhance the report

Lab : Designing a report in Power BI

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

Lab : Enhancing Power BI reports with interaction and formatting

  • Create and configure Sync Slicers
  • Create a drill through page
  • Apply conditional formatting
  • Lastly, Create and use Bookmarks

After completing this module, you should be able to;

  • Design a report page layout
  • Select and add effective visualizations
  • Add basic report functionality
  • Add report navigation and interactions
  • Improve report performance
  • Lastly, Design for accessibility

Module 8: Create Dashboards

In this module you will learn how to tell a compelling story through the use of dashboards. This will also show different tools available to provide navigation. Lastly, this is also teach you about the features and functionality on how to enhance dashboards for usability and insights.

Lessons

  • Create a Dashboard
  • Real-time Dashboards
  • Enhance a Dashboard

Lab : Designing a report in Power BI Desktop - Part 1

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

After completing this module, you should be able to;

  • Create a Dashboard
  • Understand real-time Dashboards
  • Lastly, Enhance Dashboard usability

Module 9: Create Paginated Reports in Power BI

This module will teach you about paginated reports- what they are and how they will fit into Power BI. You will also learn how to build and publish a report.

Lessons

  • Paginated report overview
  • Create Paginated reports

Lab : Creating a Paginated report

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

After completing this module, you should be able to;

  • Explain paginated reports
  • Create a paginated report
  • Create and configure a data source and dataset
  • Work with charts and tables
  • Lastly, Publish a report

Module 10: Perform Advanced Analytics

This module helps you apply additional features to enhance the report for analytical insights in the data. This will also equip 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.

Lessons

  • Advanced Analytics
  • Data Insights through AI visuals

Lab : Data Analysis in Power BI Desktop

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

After completing this module, you should be able to;

  • Explore statistical summary
  • Use the Analyze feature
  • Identify outliers in data
  • Conduct time-series analysis
  • Use the AI visuals
  • Lastly, Use the Advanced Analytics custom visual

Module 11: Create and Manage Workspaces

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 lastly learn how to distribute an App.

Lessons

  • Creating Workspaces
  • Sharing and Managing Assets

Lab : Publishing and Sharing Power BI Content

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

After completing this module, you should be able to;

  • Create and manage a workspace
  • Understand workspace collaboration
  • Monitor workspace usage and performance
  • Lastly, Distribute an App

Module 12: 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.

Lessons

  • Parameters
  • Datasets

After completing this module, you should be able to;

  • Create and work with parameters
  • Manage datasets
  • Configure dataset refresh
  • Lastly, Troubleshoot gateway connectivity

Module 13: Row-level security

This module teaches you the steps to secure Power BI assets. Namely, on implementing and configuring security in Power BI.

  • Security in Power BI

After completing this module, you will be able to:

  • Understand the aspects of Power BI security
  • Lastly, Configure row-level security roles and group memberships

Need help picking the right course?

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800-453-596 (Toll Free) 

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    202 S.E. Church Street, Suite 203 Leesburg, VA 20175
    https://www.dynamicsedge.com/
    sales@dynamicsedge.com
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    202 Church Street S.E. , Suite 203 Leesburg, VA 20175
    202-410-6400
    800-453-596 (Toll Free)
    sales@dynamicsedge.com