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PL-300: Microsoft Power BI Data Analyst Advanced Course

PL-300: Microsoft Power BI Data Analyst Advanced Course

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2 Month/20 Hours                                                  Price:85,000

                                                                                      80,000

The Power BI data analyst delivers actionable insights by leveraging available data and applying domain
expertise. The Power BI data analyst collaborates with key stakeholders across verticals to identify business
requirements, cleans and transforms the data, and then designs and builds data models by using Power BI. The
Power BI data analyst provides meaningful business value through easy-to-comprehend data visualizations,
enables others to perform self-service analytics, and deploys and configures solutions for consumption.
Candidates for this exam should be proficient using Power Query and writing expressions by using DAX.

Key Learnings:

1 Data Preparation & Modeling

2. Data Analysis

3Data Visualization & Storytelling

4. Security & Governance

5. Deployment & Collaboration

Course Content:

Prepare the Data (15-20%)

  • Get data from different data sources
  •  Identify and connect to a data source
  • change data source settings
  • Select a shared dataset or create a local dataset
  • select a storage mode
  • use Microsoft Dataverse
  • change the value in a parameter
    Connect to a data flow
  • Clean, transform, and load the data
  • Profile the data
  • Resolve inconsistencies, unexpected or null values, and data quality issues
    Identify and create appropriate keys for joins
  • Evaluate and transform column data types
  •  Shape and transform tables
  • Combine queries
  • Apply user-friendly naming conventions to columns and queries
  • configure data loading
  • Resolve data import errors

Model the Data (30—35%)

Design a data model
 Define the tables
 configure table and column properties
 design and implement role-playing dimensions
 define a relationship’s cardinality and cross-filter direction
 Design a data model that uses a star schema

Develop a Data model

  • Design a Data model
  • define the tables
  • configure table and column properties
  • design and implement role-playing dimensions
  • define a relationship’s cardinality and cross-filter direction
  • design a data model that uses a star schema
  • create a common date table

Create model calculations by using DAX

  • create basic measures by using DAX
  •  use CALCULATE to manipulate filters
  • implement Time Intelligence using DAX
  • replace implicit measures with explicit measures
  • use basic statistical functions
  •  create semi-additive measures
  • use quick measures

Optimize model performance

  • Remove unnecessary rows and columns
  • Identify poorly performing measures, relationships, and visuals
  • Reduce cardinality levels to improve performance

Visualize and Analyze the Data (25—30%)

Create reports
 add visualization items to reports
 choose an appropriate visualization type
 format and configure visualizations
 use a custom visual
 apply and customize a theme
 configure conditional formatting
 apply slicing and filtering
 configure the report page
 use the Analyze in Excel feature
 choose when to use a paginated report

Create dashboards
 manage tiles on a dashboard
 configure mobile view
 use the Q&A feature
 add a Quick Insights result to a dashboard
 apply a dashboard theme
 pin a live report page to a dashboard

Enhance reports for usability and storytelling
 configure bookmarks
 create custom tooltips
 edit and configure interactions between visuals
 configure navigation for a report
 apply sorting
 configure Sync Slicers
 group and layer visuals by using the selection pane
 drilldown into data using interactive visuals
 export report data
 design reports for mobile devices

Identify patterns and trends
 use the Analyze feature in Power BI
 identify outliers
 choose between continuous and categorical axes
 use groupings, binnings, and clustering
 use AI visuals
 use the Forecast feature
 create reference lines by using the Analytics pane

Deploy and Maintain Assets (20—25%)
Manage files and datasets
 identify when a gateway is required
 configure a dataset scheduled refresh
 configure row-level security group membership
 provide access to datasets
 manage global options for file

Manage workspaces

Create and configure a workspace
 assign workspace roles
 configure and update a workspace app
 publish, import, or update assets in a workspace
 apply sensitivity labels to workspace content
 configure subscriptions and data alerts
 promote or certify Power BI content

Final Project
 Power BI with Microsoft Teams, Excel, SharePoint, SAP etc
 Power Automate for alerts and workflow

International Student Fees: USD 300

Job Interview Preparation  (Questions & Answers)

 

Stay connected even when you’re apart

Internships, Freelance and Full-Time Work opportunities

Flexible Class Options

  • Weekend Classes For Professionals
  •  SAT | SUN Corporate Group Training Available O
  • nline Classes – Live Virtual Class (L.V.C), Online Training

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