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
Evaluate data, including data statistics and column properties
Resolve inconsistencies, unexpected or null values, and data quality issues
Resolve data import errors
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
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 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
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
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
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
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 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
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.