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Data Science
·Offline
Power BI Full Course
Why participate in the " Power BI Full Course"? The course covers all essential aspects of Power BI, from data connectivity to visualization and collaboration. It provides a compl...
What you'll gain
- ✓ Connecting and importing data
- ✓ Data transformation and modeling
- ✓ Data visualization and reporting
- ✓ Mastery of data analysis techniques
✓ Free consultation · Certificate on completion · Practical learning · Certificate-ready · BDG since 2009
Duration
2 months
Format
Offline
Level
Expert
Starts
May 23, 2026
Certificate
On completion
The BDG ecosystem
More than a course
At BDG, learning continues beyond lessons. You get access to guidance, community, events, spaces, and resources that support your professional growth.
Personal Branding
Learn how to present your skills, build professional visibility, and create a stronger personal brand in your field.
Free Webinars & Seminars
Join free webinars, seminars, and open sessions every month to keep learning, meet experts, and discover new opportunities.
Big Community
Become part of a large professional community of students, graduates, trainers, and industry specialists.
Coworking Spaces
Use BDG spaces for learning, networking, teamwork, and focused work when you need the right environment to grow.
Library
Access useful books, materials, guides, and learning resources selected to support your development.
Who can you become?
Why participate in the " Power BI Full Course"?
The course covers all essential aspects of Power BI, from data connectivity to visualization and collaboration. It provides a complete learning experience for participants, regardless of prior knowledge or experience with the tool. In the classes, participants can apply their knowledge and skills by working on real data sets and creating visualizations interactive reports, and dashboards. Course content is regularly reviewed and updated to keep up with the latest Power BI features, functionality, and best practices. During the “ Power BI Full Course”, participants will gain a solid foundation in Power BI, practical skills, and confidence in using the tools to analyze data, create visually appealing reports and visualizations, and gain valuable insights for their organizations.Get 5% Cashback
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Who is this course for
-
✓
Beginners
Anyone interested in data analysis, visualization, and business intelligence.
-
✓
Specialists in the field
For Business Analysts, Data Analysts, Data Scientists, Managers, Financial Analysts, and anyone for whom quick decision-making based on data analysis is important.
What you will learn
- ✓Connecting and importing data
- ✓Data transformation and modeling
- ✓Data visualization and reporting
- ✓Mastery of data analysis techniques
- ✓Share and collaborate on real-time data and reporting
Program
- Introduction
- Downloading Power BI & adjusting settings
- Exploring the Power BI Desktop interface & workflow
- Helpful Power BI resources
- Connecting and Shaping Data with Power BI Desktop
- Connect to data sources
- Types of data connectors in Power BI Desktop
- Change the data source settings
- The Power BI Query editor (aka Power Query)
- Basic table transformations in Power BI
- Working with text tools
- Working with numerical values
- Working with date & time tools
- Preparing the data
- Shape and transform tables
- User-friendly naming conventions
- Resolving inconsistencies & nulls
- Evaluate and transform column data types
- Append queries
- Merge queries and expand table
- Merge queries with group by, and different types of joins
- Pivot & Unpivot
- Conditional columns
- Columns from examples
- Transpose
- Data profiling
- Resolve data import errors
- Files from folders
- Data loading with parameters
- Python for Data Analytics & Power BI Integration
- Introduction to Python
- Setting Up Anaconda: Your Python Environment
- Introduction to String Functions
- Lists and For Loops: Harnessing the Power of Iteration
- Mastering User-Defined Functions in Python
- Intro to Pandas, NumPy, Matplotlib and Seaborn libraries
- Mastering Dictionaries and Dataframes in Python
- Building Cleaning Functions for Data Preprocessing
- Visualizing Cleaned Data: Unveiling Patterns and Insights
- Exploring Three Ways to Harness Python Scripting in Power BI
- Using Python Scripts as Data Sources in Power BI
- Data Transformation with Python inside Power BI
- Using Python instead of Power Query for complex transformations
- Comparing Power Query vs Python approaches
- How to use SELECT, FROM, WHERE, GROUP BY, HAVING and ORDER BY in SQL Server
- INSERT new data, UPDATE and DELETE existing data, and export data INTO a new table
- Creating Views and Procedures
- Indexes in SQL
- Using SQL Server as a Data Source in Power BI
- Creating table relationships & data model in Power BI
- What is a “Data Model”?
- Principles of data normalization
- Understanding data tables vs. lookup tables
- Creating table relationships in Power BI Desktop
- Design a data model that uses a “Star” schema
- "Snowflake" schemas in Power BI
- Managing & editing table relationships in Power BI Desktop
- Managing active vs. inactive relationships
- Understanding relationship cardinality
- Understanding filter flow
- Two-way filters in Power BI Desktop (USE WITH CAUTION!)
- Hiding fields from the Power BI report view
- Table and column properties
- Common date table (using DAX and Power Query)
- Hierarchies and data granularity
- Role playing dimensions
- Power BI data model best practices
Intro to Data Analysis Expressions (DAX)
• Intro to DAX calculated columns
• Basic operators
• IF, BLANK and ISBLANK
• AND, OR and NOT
• SWITCH
• Measures -an introduction, with standard aggregations including COUNTBLANK
• Aggregation of calculations
• Other statistical functions
• Rounding functions
• Division functions - MOD and QUOTIENT
• SIGN (and use with SWITCH) and ABS
• COUNT functions (COUNTA, DISTINCTCOUNT, COUNTROWS), exponential function
• Text searching
• Text extraction and substitution
• Text conversion
• Other text functions
- Information, Iterator, Filter & Value and Time Intelligence DAX functions
- ISERROR and LOOKUPVALUE
- Other information functions
- SUMX, AVERAGEX, MAXX/MINX, RANKX, COUNTX
- RELATED - Flatten out a parent-child hierarchy
- Context
- RELATEDTABLE and COUNTROWS
- ALL, FILTER, CALCULATE, ALLEXCEPT, ALLSELECTED
- Date and time functions, FIRSTDATE, LASTDATE
- Start of... and End of..., Previous... and Next...
- DATESINPERIOD, DATESMTD, DATESQTD, DATESYTD, TOTALMTD, TOTALQTD, TOTALYTD
- Opening Balance and Closing Balance
- Semi-additive measures
- SAMEPERIODLASTYEAR and PARALLELPERIOD
- Other Time Intelligence Functions
- Quick measures
- Visualize and analyze the data with Power BI
- Exploring the “Report” view in Power BI Desktop
- Table and matrix
- Column charts, line charts and area charts
- Combo charts and treemaps
- Card and gauge visual
- Pie chart, donut chart and funnel
- Scatter chart, waterfall chart and maps
- Customize and configure visuals
- Custom tooltips
- Configure report page
- Conditional formatting
- Applying slicing and filtering
- Sorting
- Synch slicers
- Using themes
- Drillthroughs and drill downs
- Bookmarks
- Page navigation
- Edit interactions
- Analytics pane
- Analyze feature, Identify outliers
- Create groups, bins and clusters
- Create reference lines by using Analytics pane
- Decomposition tree visual
- Custom Visuals
- Python Visuals in Power BI
- Creating custom visuals using Matplotlib & Seaborn
- Limitations and best practices of Python visuals
- When to use Python visuals vs native Power BI visuals
- AI and optimization tools in Power BI
- Anomaly detection
- Forecast
- What-If Parameters & Field Parameters for Interactive Reporting
- Smart narratives
- Q&A visuals
- Key Influencers
- The optimize ribbon
- Pausing visuals
- Applying all slicers
- Performance analyzer
- Tabular Model Definition Language (TMDL) & AI for Power BI Model Documentation
- Introduction to DAX Studio
- New Power BI features and updates
- Calculation Groups in Power BI (Time Intelligence, Dynamic Measures, Scenario Analysis)
- DAX query view
- Button Slicer
- List Slicer
- Visual calculations
- Model Metadata Exploration (DAX INFO.VIEW functions)
- Hands-on Projects in Power BI
- Bank Customers Analytics
- Data Storytelling in Power BI
- Sentiment Analysis using AI & Custom Visuals
- Introduction to the Power BI Service
- Logging into Power BI Service and a quick look around
- Power BI terminology
- Adding new users
- Datasets and Reports in Power BI Service
- Publish reports and export data
- Create a workplace
- Assign Workplace Roles
- Providing Access to Datasets
- Analyze in Excel feature
- Configure a Dataset Scheduled Refresh
- Configure Incremental Refresh
- Creating and sharing a new report
- Differences between dashboards and reports
- Manage tiles in a dashboard
- Dashboards: Options
- Pin a Live Report Page to a Dashboard
- Configure Data Alerts
- Configure and Update a Workspace App
- Power BI Mobile App
- Creating a Row-Level Security (RLS)
- Dynamic Row-Level Security
Course details
🗓
Schedule
Tue 7 pm - 9:00 pm
Sat 14:30 am - 16:30 pm
💳
Payment
Monthly
🎓
Certificate
On completion
16 lessons
Frequently asked questions
Each course is labelled beginner, intermediate or advanced. If you are unsure, book a free consultation and we will help you choose.
Flexible payment options are available for most programs. Contact us to discuss the right plan for you.
Certificates
Certificates you can receive
Depending on the course format and results, students can receive one of BDG's certificate types.
- ✓ Verified BDG certificate
- ✓ QR / signature-ready format
- ✓ Armenian & English certificate design
Co-branded
Participation
For students who actively participate in the course learning process.
For active participationCompletion
For students who complete the course requirements and finish the program.
For successful completionExcellence
For students who complete the course with outstanding results and strong performance.
With distinctionHR Drone
A co-branded certificate for selected HR and partner-certified programs.
Co-brandedData Science
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2 months · Starts — May 23, 2026
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