العربية
0096522958111

Logo

Find A programme

Power BI: Data Mining and Big Data Analytics

Dates Venues Register
06/09/2026 - 10/09/2026 DUBAI

Introduction

Power BI: Data Mining and Big Data Analytics

 

 

Course Objectives:

By the end of the Power BI: Data Mining and Big Data Analytics Training Course, participants will:

  • Acquire the skills to process, visualize, and analyze large datasets using Power BI.
  • Understand key data mining techniques such as classification, clustering, and association, and how to implement them within Power BI.
  • Learn best practices for handling big data, from importing and transforming to visualizing complex datasets.
  • Utilize advanced analytics features in Power BI, including predictive analytics and AI-driven clustering.
  • Develop the ability to identify key trends and insights from large datasets, improving business intelligence for strategic planning.

Who is this Training Course for?

This training course is ideal for a wide range of professionals, including:

  • Data Analysts and Business Intelligence Professionals: Those looking to enhance their skills in big data analysis and Power BI tools.
  • IT Specialists: Professionals interested in improving their knowledge of data mining techniques within Power BI.
  • Business Managers and Decision-Makers: Individuals seeking to leverage big data insights for better strategic planning and decision-making.
  • Marketing, Finance, Operations, and Research Professionals: Those who wish to apply data mining techniques to their industry-specific challenges.

 

The Course Outline:

Day 1

Introduction to Big Data and Power BI Essentials

  • Understanding big data and its applications in business
  • Overview of Power BI and its relevance to big data analytics
  • Connecting to large data sources and managing data ingestion (SQL, Hadoop, Azure, etc.)
  • Introduction to Power Query for data transformation and cleansing
  • Hands-on: Loading and preparing a large dataset in Power BI
Day 2

Data Modeling and Advanced Data Mining Techniques

  • Building efficient data models to handle large datasets
  • Introduction to data mining concepts: classification, clustering, and association
  • Using DAX (Data Analysis Expressions) for calculated fields and complex measures
  • Applying data mining techniques with DAX in Power BI
  • Hands-on: Creating data models and applying DAX for data mining
Day 3

Data Visualization and Identifying Patterns in Big Data

  • Exploring visualizations optimized for big data in Power BI
  • Using Power BI visuals to identify trends, patterns, and anomalies
  • Interactive dashboards and drill-down features for big data insights
  • Advanced visual techniques for clustering, classification, and segmentation
  • Hands-on: Building a big data dashboard with advanced visualizations
Day 4

Advanced Analytics and AI Integration in Power BI

  • Introduction to AI features in Power BI for predictive analysis and forecasting
  • Leveraging the Key Influencers visual to detect trends and factors impacting outcomes
  • Using Power BI’s Q&A and AI-driven clustering to enhance data mining
  • Applying machine learning models and integrating Azure Machine Learning with Power BI
  • Hands-on: Implementing AI-powered analytics and predictive insights in Power BI
Day 5

Optimizing, Publishing, and Sharing Big Data Insights

  • Optimizing big data reports and dashboards for performance and accessibility
  • Publishing and securely sharing Power BI dashboards with stakeholders
  • Integrating Power BI reports with Microsoft Teams and SharePoint for collaboration
  • Case studies: Real-world applications of big data analytics using Power BI
  • Final Hands-on Project: Creating and presenting a comprehensive big data analytics dashboard

Make an enquiry about seminar

Subject Areas

Locations

Live chat by BoldChat