Unleashing the Potential of POWER BI with AI

Power BI Desktop, a powerful business intelligence tool by Microsoft, is already renowned for its user-friendly interface and robust capabilities. But by harnessing the potential of advanced learning techniques, you can supercharge your data analysis and reporting process.

One of the key advantages of advanced learning in Power BI Desktop is the ability to handle massive datasets with ease. Machine learning algorithms enable efficient data processing, transforming raw information into meaningful patterns and trends. This opens up a new realm of possibilities for data-driven decision-making.

Moreover, advanced learning empowers you to discover hidden relationships within your data. With the help of predictive analytics, you can forecast future trends and identify potential opportunities or risks. By leveraging this invaluable foresight, you can make well-informed strategic choices that lead to business success.

Another standout feature of advanced learning in Power BI Desktop is its enhanced data visualization capabilities. With access to sophisticated algorithms, you can create compelling visualizations that go beyond basic charts and graphs. Interactive dashboards and reports provide a dynamic platform for exploring data from various angles, making data-driven storytelling a breeze.

Furthermore, advanced learning allows for automatic data cleansing and transformation, significantly reducing the time spent on manual data preparation. This means you can focus more on analyzing insights and less on mundane data manipulation tasks.

Embracing advanced learning in Power BI Desktop also empowers business users to be more independent in their data analysis. With user-friendly machine learning tools, you don’t need to be a data scientist to unlock valuable insights. Anyone can unleash the full potential of their data and contribute to informed decision-making within the organization.

Online registration form: Please click here

Course Duration & Payment Details

Day: Sundays only
Timing: 02:30 to 05:00 pm
Duration: 30 hours
Starting from: Sunday, 10 September 2023
Last date of registration: Sunday, 3 September 2023

Actual Fee: 30,000/-  | Early bird discount: 20,000/-
How to Pay: Online Payment
Bank: Habib Bank Limited
Title: Irfan
Account No: 11557900292501 | PK02HABB0011557900292501

Those who are interested in physical classes, please join us at: Office # 511, Park Avenue, PECHS Block-6, Sharah-e-Faisal, Karachi.

Training Highlights

Module 1:

Advanced-Data Modeling:
Understanding complex relationships
Implementing many-to-many relationships
Utilizing bidirectional filtering

Advanced-Data Transformations:
Advanced data cleansing techniques
Combining data from multiple sources
Merging and appending queries
Type of Joins
Conditional columns and advanced transformations
Handling hierarchical data and JSON files

Advanced Measures and Calculations:
Aggregation functions (SUMX, AVERAGEX, COUNTX, etc.)
Time intelligence functions (SAMEPERIODLASTYEAR, TOTALYTD, DATESMTD, etc.)
Using variables and advanced functions in DAX
Handling large datasets and complex data models

Advanced Visualization Techniques:
Drill-through and drill-down capabilities
Advanced formatting options and conditional formatting
Creating advanced measures and KPIs
Enhancing report performance and responsiveness

Advanced-Data Analysis:
Financial Forecasting

Module 2:

Advanced Report and Dashboard Design:
Interactive report design best practices
Dynamic filtering and user interaction
Creating visually appealing and engaging dashboards

Power BI Services – Advanced Data Security and Sharing:
Configure the Gateway
Schedule Refresh
Implementing row-level security (RLS)
Publishing and sharing reports securely
Collaboration and workspace management

Introduction to Advanced Power BI and AI Integration:
Understanding the synergy between Power BI and AI
Exploring AI capabilities in Power BI for data analysis
Applying AI-driven insights to enhance data visualizations
Utilizing AI-based features for trend analysis and forecasting
Applying anomaly detection for identifying data outliers
Power BI with Copilot – Enhancing Data Analysis with AI Integration
Quick Measures and the AI Copilot
Natural Language Processing (NLP) in Power BI
Chat GPT with Power BI
Implementing sentiment analysis for understanding customer feedback
Applying text analytics for extracting insights from unstructured data

Machine Learning Integration in Power BI:
Introduction to machine learning concepts in Power BI
Building predictive models for forecasting and regression
Utilizing AI capabilities for image and text analysis