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DA-100: Analyzing Data with Power BI

Overview

Gaining Data Insights has become a must have for enterprises – big and small. It helps them build the right product, operate efficiently to serve the purpose, clinch success and stay ahead of the competition. Whether you are a business owner, or heading a product development, sales or customer service operation, analyzing data is important. Microsoft Power BI certification based on DA 100 course equips you with the skills required to prepare the data; model the data; visualize the data; analyze the data; and deploy and maintain deliverables.

What’s Covered in DA-100 Certification Exam

  1. Prepare the data
  2. Model the data
  3. Visualize the data
  4. Analyze the data
  5. Deploy and maintain deliverables

Who Should Take Power BI DA 100 Certification?

Data Analysts

Data Analyst Associate training based on Power BI DA 100 course helps data analysts to use a given set of data wisely to acquire information about specific topics or situations. DA 100 certification helps candidates to earn a competitive advantage, perform better, and get paid better.

Marketing and sales Professional

Accurate marketing and sales data insights are crucial for seizing current and future opportunities. The skills gained after successful completion of Microsoft Power BI certification are of paramount importance in enabling professionals to better plan their campaign and optimize it further to achieve organizational goals.

Customer Service Professional

Ambitious customer service professionals can fuel their career with Power BI DA 100 course and make them competent for getting senior level roles. The data analysis and visualization skills help them understand the customer interest and behavior trend and enhance their operational skills and revise their KPIs.

Prerequisites for Power BI DA 100 Certification

There are no prerequisites or minimum eligibility set for the course. However, familiarity with Microsoft Excel, Microsoft Access, SharePoint, and SQL databases is helpful.

Full Description

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

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

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

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

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

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

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

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

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

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

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

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

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

Fees & Schedule

Delivery Mode Course Duration Fees
Live Virtual Training 4 Days Ask for Quote
Onsite Classroom Training 4 Days Ask for Quote
Customized Training 4 Days Ask for Quote

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