DA-100: Analyzing Data with Power BI Training

This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.

Data Analytics and Microsoft

Getting Started with Power BI

Lab: Getting Started

After completing this module, you will be able to:

Explore the different roles in data

Identify the tasks that are performed by a data analyst

Describe the Power BI landscape of products and services

Use the Power BI service

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.

Get data from various data sources

Optimize performance

Resolve data errors

Lab: Preparing Data in Power BI Desktop

After completing this module, you will be able to:

Identify and retrieve data from different data sources

Understand the connection methods and their performance implications

Optimize query performance

Resolve data import errors

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

Data shaping

Enhance the data structure

Data Profiling

Lab: Transforming and Loading Data

After completing this module, students will be able to:

Apply data shape transformations

Enhance the structure of the data

Profile and examine the data

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.

Introduction to data modeling

Working with tables

Dimensions and Hierarchies

Lab: Data Modeling in Power BI Desktop

Create Model Relationships

Configure Tables

Review the model interface

Create Quick Measures

Lab: Advanced Data Modeling in Power BI Desktop

Configure many-to-many relationships

Enforce row-level security

After completing this module, you will be able to:

Understand the basics of data modeling

Define relationships and their cardinality

Implement Dimensions and Hierarchies

Create histograms and rankings

This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.

Introduction to DAX

DAX context

Advanced DAX

Lab: Introduction to DAX in Power BI Desktop

Create calculated tables

Create calculated columns

Create measures

Lab: Advanced DAX in Power BI Desktop

Use the CALCULATE() function to manipulate filter context

Use Time Intelligence functions

After completing this module, you will be able to:

Understand DAX

Use DAX for simple formulas and expressions

Create calculated tables and measures

Build simple measures

Work with Time Intelligence and Key Performance Indicators

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

Optimze the model for performance

Optimize DirectQuery Models

Create and manage Aggregations

After completing this module, you will be able to:

Understand the importance of variables

Enhance the data model

Optimize the storage model

Implement aggregations

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

Design a report

Enhance the report

Lab: Designing a report in Power BI

Create a live connection in Power BI Desktop

Design a report

Configure visual fields adn format properties

Lab: Enhancing Power BI reports with interaction and formatting

Create and configure Sync Slicers

Create a drillthrough page

Apply conditional formatting

Create and use Bookmarks

After completing this module, you will 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

Design for accessibility

In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.

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

Use Q&A to create a dashboard tile

After completing this module, students will be able to:

Create a Dashboard

Understand real-time Dashboards

Enhance Dashboard usability

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

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

Export a report to PDF

After completing this module, you will be able to:

Explain paginated reports

Create a paginated report

Create and configure a data source and dataset

Work with charts and tables

Publish a report

This module helps you apply additional features to enhance the report for analytical insights in the data, equipping 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.

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

Work with the Key Influencers visual

After completing this module, you will be able to:

Explore statistical summary

Use the Analyze feature

Identify outliers in data

Conduct time-series analysis

Use the AI visuals

Use the Advanced Analytics custom visual

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 then learn how to distribute an App.

Creating Workspaces

Sharing and Managing Assets

Lab: Publishing and Sharing Power BI Content

Map security principals to dataset roles

Share a dashboard

Publish an App

After completing this module, you will be able to:

Create and manage a workspace

Understand workspace collaboration

Monitor workspace usage and performance

Distribute an App

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.

Parameters

Datasets

After completing this module, you will be able to:

Create and work with parameters

Manage datasets

Configure dataset refresh

Troubleshoot gateway connectivity

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

Security in Power BI

After completing this module, you will be able to:

Understand the aspects of Power BI security

Configure row-level security roles and group memberships

Yes.

USD 165.

This course is for anybody who wants to learn Microsoft Power BI and mostly ideal for ideal for data analysts, data scientists, BI professionals, IT managers, and for those who wants to clear DA-100 exam.

Yes, Microtek Learning is a Microsoft partner to deliver all training worldwide.

Microtek Learning provides:

No, the training cost does not include the examination cost.

Yes, the Microsoft DA-100 Certification replaced the Microsoft 20778 certification.

Once you clear the DA-100 exam then your Microsoft Certified: Data Analyst Associate certification will be valid for two years.

For any information regarding this you can mail us at info@microteklearning.com, call us at +1-800-961-0337 or chat with us.