DA-100: Dnalyzing Data with Microsoft Power bi

DA-100: Dnalyzing Data with Microsoft Power bi

Course Overview

DA-100: Dnalyzing Data with Microsoft Power bi : Analyzing Data with Microsoft Power BI certification training course is one of the popular certification courses from Microsoft for today’s professionals who want to gain a proper understanding of knowledge and skills to analyze business data with Power BI to create custom visualization in dashboards and reports.

Take part in this 4-day instructor-led DA 100 certification training that is ideal for Business Intelligence professionals who wants to maximize the value of their data assets by using Microsoft Power BI. If you are looking to get certified in Analyzing Data with Microsoft Power BI course, then look no further.

Analyzing Data with Microsoft Power BI Certification Training

In an evolving business landscape, for businesses to stay relevant and competitive, it is critical to embrace cloud solutions to ensure business continuity at all costs. With data becoming the new oil required to run the next-gen digital economy, it is imperative for businesses to utilize untapped data assets spread across physical, cloud, and hybrid environments.

Analyzing Data with Power BI is one of the most sought-after Microsoft certification training programs for both individuals and enterprise team members. By taking up this Analyzing Data with Microsoft Power BI (DA-100) course, participants will receive a copy of the course material and course completion certificate from a Microsoft Accredited Gold Partner.

Why Should I choose Lara Online Training?

  • Laraonlinetraining provide very in-depth course material with real time scenarios for each topic with its Solutions for DA-100: Dnalyzing Data with Microsoft Power bi training.
  • We also provide production case studies during the training.
  • Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real-time Experts.
  • Get the Class recordings, immediately after the session for further Reference.
  • Avail flexibility with Normal Track, Fast Track, and Weekend Batches also for DA-100: Dnalyzing Data with Microsoft Power bi Training.
  • Cost Effective and Flexible Payment Schemes.
  • 100% Placement assistance
  • We provide Assessment and Mock Interviews

Module 1 Prepare the Data

Get Data from different Data Sources

1
Identify and Connect to a Data Source
2
change Data Source Settings
3
Select a Shared Dataset or Create a Local Dataset
4
Select a Storage Mode
5
Choose an Appropriate Query Type
6
Indentify Query Performance Issues
7
Use the Common Data Service (CDS)
8
Use Parameters

Profile the Data

1
Indentify Data Anomalies
2
Examine Data Structures
3
Interrogate Column Properties
4
Interrogate Data Statistics

Clean

Transform

and Load the Data

1
Resolve Inconsistencies, Unexpected or Null Values, and Data Quality Issues
2
Apply User-friendly Value Replacements
3
Indentify and Create Appropriate Keys for Joins
4
Evaluate and Transform Column Data Types
5
Apply Data Shape Transformations to Table Structures
6
Combine Queries
7
Apply User-friendly Naming Conventions to Columns and Queries
8
leverage Advanced Editor to Modify Power Query M code
9
Configure Data Loading
10
Resolve Data Import Errors

Module 2 Model the Data

Design a Data Model

1
Define the Tables
2
Configure Table and Column Properties
3
Define Quick Measures
4
Flatten out a Parent-child Hierarchy
5
Define Role-playing Dimensions
6
Define a Relationship’s Cardinality and Cross-filter Direction
7
Design the Data Model to Meet Performance Requirements
8
Resolve Many-to-many Relationships
9
Create a Common Date Table
10
Define the Appropriate Level of Data Granularity

Develop a Data Model

1
Apply Cross-Filter Direction and Security Filtering
2
Create Calculated Tables
3
Create Hierarchies
4
Create Calculated Columns
5
Implement Row-level Security Roles
6
Set up the Q&A Feature

Create Measures by using DAX

1
Use DAX to Build Complex Measures
2
Use CALCULATE to Manipulate Filters
3
Implement Time Intelligence using DAX
4
Replace Nmeric Columns with Measures
5
Use Basic Statistical Functions to Enhance Data
6
Create Semi-Additive Measures

Optimize Model Performance

1
Remove Unnecessary Rows and Columns
2
Indentify Poorly Performing Measures, Relationships, and Visuals
3
Improve Cardinality Levels by Changing Data Types
4
Improve Cardinality Levels Through Summarization
5
Create and Manage Aggregations

Module 3 Visualize the Data

Create Reports

1
Add Visualization Items to Reports
2
Choose an Appropriate Visualization Type
3
Format and Configure Visualizations
4
Import a Custom Visual
5
Configure Conditional Formatting
6
Apply Slicing and Filtering
7
Add an R or Python Visual
8
Configure the Report Page
9
Design and Configure for Accessibility

Create Dashboards

1
Set Mobile View
2
manage tiles on a Dashboard
3
Configure Data Alerts
4
Use the Q&A Feature
5
Add a Dashboard Theme
6
Pin a Live Report Page to a Dashboard
7
Configure Data Classification

Enrich Reports for Usability

1
Configure Bookmarks
2
Create Custom Tooltips
3
Edit and Configure Interactions Between Visuals
4
Configure Navigation for a Report
5
Apply Sorting
6
Configure Sync Slicers
7
Use the Selection Pane
8
Use Drillthrough and Cross Filter
9
Drilldown into Data using Interactive Visuals
10
Export Report Data

Module 4 Analyze the Data

Enhance Reports to Expose Insights

1
Apply Conditional Formatting
2
Apply Slicers and Filters
3
Perform top N Analysis
4
Explore Statistical Summary
5
Use the Q&A Visual
6
Add a Quick Insights Result to a Report
7
Create Reference Lines by using Analytics Pane
8
Use the Play Axis Feature of a Visualization

Perform Advanced Analysis

1
Indentify Outliers
2
Conduct Time Series Analysis
3
Use Goupings and Binnings
4
Use the Key Influencers to Explore Dimensional Variances
5
Use the Decomposition Tree Visual to Break Down a Measure
6
Apply AI Insights

Module 5 Deploy and Maintain Deliverables

Manage Datasets

1
Configure a Dataset Scheduled Refresh
2
Configure Row-level Security Group Membership
3
Providing Access to Datasets
4
Configure Incremental Refresh Settings
5
Endorse a Dataset

Create and Manage Workspaces

1
Create and Configure a Workspace
2
Recommend a Development Lifecycle Strategy
3
Assign Workspace Roles
4
Configure and Update a Workspace App
5
Publish, Import, or Update Assets in a Workspace

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Enrolled: 24333 students
Duration: 30hrs
Lectures: 99
Level: Beginner

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