Power BI Training +Live Project + Experience Certificate =100% Job
We Covered Power BI Tools in Training :
Power BI Desktop
Big EVAL
Datapine
Clear Analytics
SAP BusinessObjects
Yellowfin BI
GoodData
Power BI Gateway
MicroStrategy
Zoho Analytics
Matric Insight
Power Qurey
Roles and Responsibilities of Power BI Developer
· Understand business needs in metal context and style information models to rework data into substantive insights.
· Create dashboards and interactive visual reports victimization Power metal.
· Identify key performance indicators (KPIs) with clear objectives and systematically monitor those
· Analyzing information and gift information through reports that aid decision-making.
· Convert business needs into technical specifications and judge timeline to accomplish.
· Create relationships between information and develop tabular and different four-dimensional information, models Chart creation and information documentation explaining algorithms, parameters, models, and relations Design, develop, test, and deploy Power metal scripts and perform elaborated analytics.
· Perform DAX queries and functions in Power metal.
· Analyze current ETL method, outline and style new systems Redefine and build technical/strategic changes to boost existing Business Intelligence systems
· Create customize charts and custom calculations as per needs/
· Design, develop and deploy business intelligence solutions as per wants.
· SQL querying for best results, use of filters and graphs for higher understanding of knowledge.
· Work with users and team members in any respect level for performance improvement and suggestions.
· To make an extended story short, an influential metal developer is liable for handling the complete metal system and focuses on leverage Power metal for sensible, period selections.
Syllabus of Power BI Training :
Module 1: Introduction to Power Bi
- Introduction to Business Intelligence (BI)
- Stages of business intelligence (BI)
- Use cases of BI
- Various BI tools
- Overview of Data warehouse & concepts
- Introduction to Power BI
- Why Power BI
- Power BI Components
- Power BI pricing structure
- Building blocks of Power BI
- Architecture of Power BI
- Power BI vs Tableau vs QlikView
- Introduction of Power BI Desktop
- Installation of Power BI Desktop
- The key features of Power BI workflow
- Process of creating reports in Power BI
Module 2: Data Extraction
- Overview of Power BI desktop
- Data sources in Power BI
- Using files (excel, pdf, csv, etc.) as a data source
- Using SaaS connectors
- Extracting data from folders, and databases
- Working with Azure SQL database and database sources
- Connecting to Analysis Services
- Other data sources (OData, web, SharePoint etc.)
- Python & R script in Power BI
- Introduction of power query editor
- Advance editor
- Query dependency editor
Module 3: Data Transformation – Shaping & Combining Data
- Shaping data using Power Query Editor
- Formatting data
- Transformation of data
- Understanding of Data types
- Data profiling for data quality check
- Naming conventions & best practices to consider
- Identify and create appropriate keys for joins
- Working with Parameters
- Merge Query
- Append Query
- Group by of data (aggregation of data)
- Applied steps (query settings)
- Duplicate & Reference tables
- Transpose of data
- Fill
- Pivot & Un-pivot of data
- Custom columns
- Conditional columns
- Replace data from the tables
- Split columns values
- Move columns & sorting of data
- Detect data type, count rows & reverse rows
- Promote rows as column headers
- Hierarchies in Power BI
- M query
Module 4: Data Modelling & DAX
- Introduction of relationships
- Creating relationships
- Cardinality
- Cross filter direction
- Use of inactive relationships
- Introduction of DAX
- Why DAX is used
- DAX syntax
- DAX functions
- Context in DAX
- Calculated columns using DAX
- Measures using DAX
- Calculated tables using DAX
- Learning about table, information, logical, text, iterator
- Time intelligence functions (YTD, QTD, MTD)
- Cumulative values, calculated tables, and ranking and rank over groups
- Date and time functions
- identify poorly performing measures, relationships, and visuals
- DAX advanced features
Module 5: Data Visualization With Analytics
- Deep dive into Power BI data visualization
- Understanding Power View and Power Map
- Data visualization techniques
- Page layout & Formatting
- Power BI Desktop visualization
- Formatting and customizing visuals
- Visualization interaction
- Custom visualization in Power BI
- Top-down and bottom-up analytics
- Drill down
- Drill through
- Page navigations
- Bookmarks
- Selection pane to show/hide visuals
- omparing volume and value-based analytics
Module 6: Power Bi Service (Cloud) and Data Insights
- Introduction to Power BI Service
- Introduction of workspaces
- Dashboard
- Creating & Configuring Dashboards
- Dashboard theme
- Reports vs Dashboards
- Building workspace Apps
- Sharing reports & dashboards
- configure subscriptions and data alerts
- Paginated report
- Introduction to Power Q & A
- Ask questions about your data using Natural Query Language
- Getting answers in the form of charts, graphs, and data discovery methodologies
- Configure custom questions for Q&A like FAQ
- Ad-hoc analytics building
- Power Q&A best practices
- Quick Ins
- Subscribe, Alerts, Usage statics, Related content
- Design reports on Power BI Service
- Collaboration using Power BI Service
Module 7: Power Bi Settings, Administration & Direct Connectivity
- Getting to understand Power BI Desktop settings
- Aggregating data from multiple data sources
- Power BI Service settings
- Power BI Admin Portal
- Administration activities
- Power BI usage analysis
- Introduction of Office 365 admin activities
- Introduction of Data Gateway
- Installation & Configuration of data gateways
- Scheduling auto data refresh
- Managing groups, row-level security, datasets, reports, and dashboards
- Real time data analysis using Direct Connectivity
- Direct Query vs Import Mode
Module 8: Embedded Power Bi With API & Power Bi Mobile
- Introduction to embedded Power BI
- Create embedded code
- Manage embedded code
- Integration of Power BI in SharePoint
- Introduction of Power BI API
- Power BI Embedded playground
- Introduction to Power BI Mobile
- Creating mobile based reports & dashboards
- Optimizing report for Power BI mobile app
- Features of Power BI mobile app
- Introduction of integrating Power BI & Excel
- Power BI Analyze in Excel
Module 9: Power Bi Advance & Power Bi Premium
- Introduction of Power BI Premium
- Power BI Premium per user
- Power BI Premium features
- Introduction to Data Flow
- Create Data Flow
- Advantages of Data Flow
- Create reports using Data Flow
- Introduction to Power BI Deployment Pipelines
- Create Deployment Pipelines
- Benefits of Deployment Pipelines
- Introduction of Sensitivity Labels
- Introduction of Power BI Goals feature
- Incremental data load in Power BI
- use AI visuals
- use the Forecast feature
- Power BI best practice rules to improve performance
GOOD OPPORTUNITY FOR FRESHERS
Any Trained Candidates will have only Subject Knowledge, but they will not have real time Exposure….. By Doing this Candidate will get Full Project Exposure and will be able to show Exposure equivalent to real time, which companies r expecting from Fresh Candidates, that will help them to get job Easily……
