DA-100T00: Analyzing Data with Power BI | IT Training & Certification | Info Trek
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DA-100T00: Analyzing Data with Power BI

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Starting From
RM 3100.00
  1. 4 Days
  1. HRDF SBL Claimable
  2. Lunch & refreshment provided
  3. Certificate of Attendance available
Starting From
RM 3100.00
  1. 8 Day with 04 hours per day
  1. Mon 02 Nov 09:00 - Fri 13 Nov 13:00
  1. HRDF SBL Claimable
  2. Certificate of Attendance available
  1. 4 Days
  1. All of our private classes are customized to your organization's needs.
  2. Click on the button below to send us your details and you will be contacted shortly.

DA-100T00: Analyzing Data with Power BI

WHAT YOU WILL LEARN

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. 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.

This Microsoft Official Course is also catered to learners who wish to attain the Microsoft Certified: Data Analyst Associate certification. In order to attain this, candidates are required to pass the DA-100 Analyzing Data with Microsoft Power BI certification exam.

Candidates for this exam are data analysts who enables businesses to maximize the value of their data assets by using Microsoft Power BI. As a subject matter expert, Data Analysts are responsible for designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations. Data Analysts also collaborate with key stakeholders across verticals to deliver relevant insights based on identified business requirements.

AUDIENCE

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.

PREREQUISITES

In addition to their professional experience, students who take this training should have technical knowledge equivalent to the information found in the Azure Fundamentals course.

METHODOLOGY

This program will be conducted with interactive lectures, PowerPoint presentation, discussions, and practical exercise.

COURSE OBJECTIVES

After completing this course, you will be able to:

• 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


Expand All

Modules

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, and then explores the landscape of the Power BI portfolio.


Lessons

• Data Analytics and Microsoft

• Getting Started with Power BI

• Tour and use the Power BI service

• Power BI in the Enterprise

• Knowledge Check


Lab: Getting Started

• 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


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

• Knowledge Check


Lab: Preparing Data in Power BI Desktop

• Prepare Data


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


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. 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.


Lessons

• Data shaping

• Enhance the data structure

• Data Profiling

• Knowledge Check


Lab: Transforming and Loading Data

• 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


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

• Knowledge Check


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


Module 5: Create Measures using DAX in Power BI

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.


Lessons

• Introduction to DAX

• DAX context

• Advanced DAX

• Knowledge Check


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


Module 6: Optimize Model Performance

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.


Lessons

• Using Variables

• Fine-tune the data model

• Optimize DirectQuery Models

• Create and manage Aggregations

• Knowledge Check


After completing this module, you will be able to:

• Understand the importance of variables

• Enhance the data model

• Optimize the storage model

• Implement aggregations


Module 7: Create Reports

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.


Lessons

• Design a report

• Enhance the report

• Knowledge Check


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


Module 8: Create Dashboards

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.


Lessons

• Create a Dashboard

• Real-time Dashboards

• Enhance a Dashboard

• Knowledge Check


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


Module 9: Create Paginated Reports in Power BI

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.


Lessons

• Paginated report overview

• Create Paginated reports

• Knowledge Check


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


Module 10: Perform Advanced Analytics

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.


Lessons

• Advanced Analytics

• Data Insights through AI visuals

• Knowledge Check


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


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 then learn how to distribute an App.


Lessons

• Creating Workspaces

• Sharing and Managing Assets

• Knowledge Check


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


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

• Knowledge Check


After completing this module, you will be able to:

• Create and work with parameters

• Manage datasets

• Configure dataset refresh

• Troubleshoot gateway connectivity


Module 13: Row-level security

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


Lessons

• Security in Power BI

• Knowledge Check


After completing this module, you will be able to:

• Understand the aspects of Power BI security

• Configure row-level security roles and group memberships


Gerald Hoong Seng Kah

Gerald Hoong Seng Kah

Gerald has 19 years of information technology experience and on community service and event experiences, he excels impressively. He was invited as a speaker for 3 break-out sessions for Microsoft TechED SEA 2008 on SQL Server 2008 at Kuala Lumpur Convention Center.

He even participated at the “Ask-The-Expert" booth for Microsoft Visual Studio 2008 and Microsoft SQL Server 2008 at the Heroes Launch 2008 and conducted a Microsoft Visual Studio Team System 2008, formerly code-named “Orcas" Metro workshop for Microsoft Certified Partners and independent software vendors (ISVs).

He was invited as a speaker on various occasions such as during the 2 break-out sessions and 3 instructor-led sessions at Microsoft TechED SEA 2007 on SQL Server 2008 and Office SharePoint Server 2007 respectively at Kuala Lumpur Convention Center. He was also a speaker for an instructor-led session at Microsoft TechEd SEA 2006 on development of web parts using Windows SharePoint Services Version 3.0 at Kuala Lumpur Convention Center.

He conducted a few Microsoft Office 2007 Touchdown workshops for Microsoft Certified Partners and independent software vendors and Microsoft Windows Vista Beta 1 Touchdown workshop and Microsoft Windows Vista Beta 1 Touchdown workshop for Microsoft Certified Partners and ISVs. He also conducted a Microsoft Windows Server code-named “Longhorn" Touchdown workshop and Microsoft Visual Studio Team System workshop for Microsoft Certfied Partners and ISVs.

He was invited as a guest speaker on Microsoft Office 2007 development for the MIND community, which is an active IT community under the helm of Microsoft. He is a committee member of SQL Practitioners Alliance Network (SPAN).

He was the co- speaker and tag team presenter at the recently concluded World SharePoint Conference 2014 at Las Vegas, USA. He was the only Malaysian presenter among the other presenters from Asia.

In March 2014, he participated as co-speaker and tag team presenter at the World SharePoint Conference 2014 at Venetian Hotel and Resorts, Las Vegas, USA.

Recently, he conducted a specialized Microsoft SharePoint training and consultancy for a team of 17 people from Carlsberg Group at Carlsberg & Jacobsen Brewhouse in Copenhagen, Denmark.

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James Hong Chii Guan

James Hong Chii Guan

James has trained more than thousands of people in conducting in-house / public training and private tutoring. With his previous vast experiences, he is allowed to provide training for Microsoft Office 2002, 2003, and Microsoft Office 2007, Programming with Microsoft Visual Basic.net, Querying Microsoft SQL Server 2000 with Transact-SQL, Developing Microsoft .Net Applications for Windows (VB.Net), Developing Microsoft ASP. Net Web Applications Using Visual Studio.Net.


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Ricky Chan Chee Ho

Ricky Chan Chee Ho

Ricky have extensive knowledge in software application, management skills, leading edge technology planning and implementation as well as superior strategic thinking & communication skills.His expertise are in Exchange Server, SQL Server 2000, 2005, 2008, 2012, Windows 2000, Microsoft Windows Server 2003, 2008, 2012, Window XP, Vista, 7, 8, Window NT server, Microsoft offices 2003, 2007, 2010, Microsoft Project 2013, 2007 and 2010.


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