The live online cohort based training covers the topics defined in the official syllabus of the PL-300 exam. Participants mostly perform hands-on work and solve multiple choice questions on the pattern of the official exam. The content for the 04 weeks training includes
Prepare the data (25–30%)
Model the data (25–30%)
Visualize and analyze the data (25–30%)
Deploy and maintain assets (15–20%)

Get data from data sources

  • Identify and connect to a data source

  • Change data source settings, including credentials, privacy levels, and data source locations

  • Select a shared dataset, or create a local dataset

  • Choose between DirectQuery, Import, and Dual mode

  • Change the value in a parameter

Clean the data

  • Evaluate data, including data statistics and column properties

  • Resolve inconsistencies, unexpected or null values, and data quality issues

  • Resolve data import errors

Transform and load the data

  • Select appropriate column data types

  • Create and transform columns

  • Transform a query

  • Design a star schema that contains facts and dimensions

  • Identify when to use reference or duplicate queries and the resulting impact

  • Merge and append queries

  • Identify and create appropriate keys for relationships

  • Configure data loading for queries

Design and implement a data model

  • Configure table and column properties

  • Implement role-playing dimensions

  • Define a relationship's cardinality and cross-filter direction

  • Create a common date table

  • Implement row-level security roles

Create model calculations by using DAX

  • Create single aggregation measures

  • Use CALCULATE to manipulate filters

  • Implement time intelligence measures

  • Identify implicit measures and replace with explicit measures

  • Use basic statistical functions

  • Create semi-additive measures

  • Create a measure by using quick measures

  • Create calculated tables

Optimize model performance

  • Improve performance by identifying and removing unnecessary rows and columns

  • Identify poorly performing measures, relationships, and visuals by using Performance Analyzer

  • Improve performance by choosing optimal data types

  • Improve performance by summarizing data

Create reports

  • Identify and implement appropriate visualizations

  • 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

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

  • Drill down into data using interactive visuals

  • Configure export of report content, and perform an export

  • Design reports for mobile devices

  • Incorporate the Q&A feature in a report

Identify patterns and trends

  • Use the Analyze feature in Power BI

  • Use grouping, binning, and clustering

  • Use AI visuals

  • Use reference lines, error bars, and forecasting

  • Detect outliers and anomalies

  • Create and share scorecards and metrics

Create and manage workspaces and assets

  • Create and configure a workspace

  • Assign workspace roles

  • Configure and update a workspace app

  • Publish, import, or update assets in a workspace

  • Create dashboards

  • Choose a distribution method

  • Apply sensitivity labels to workspace content

  • Configure subscriptions and data alerts

  • Promote or certify Power BI content

  • Manage global options for files

Manage datasets

  • Identify when a gateway is required

  • Configure a dataset scheduled refresh

  • Configure row-level security group membership

  • Provide access to datasets

Abu Bakar Alvi is a highly experienced Product Manager, a certified Project Management Professional and Data Analyst with over 23 years of industry experience.

He is working primarily as a consultant and corporate trainer. He has trained 1000+ students in multiple public and corporate trainings in Pakistan and globally specializing in Program Management, Data Analytics, and Data Visualization. He is a Microsoft Certified Trainer, a certified Power BI Data Analyst Associate (PL-300) and a certified Azure Enterprise Data Analyst Associate (DP-500). Additionally, he is a certified Project Management Professional (PMP) and an Agile Certified Practitioner (PMI-ACP) from the Project Management Institute (PMI), USA. He is also a certified Azure Data Engineer and Tableau Desktop Specialist.

His expertise and contributions to the field of Electronics Engineering were recognized by the Government of Pakistan in 2005 when he was awarded the prestigious Tamgha-e-Imtiaz, the 4th highest civil award, for professional excellence. He is the youngest Pakistani professional engineer to get this honor at the age of 27.