Course Schedules

Classroom 10 Sessions
Online / Live
Live

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Introduction

Power BI Data Mining Training Course enables professionals to transform large volumes of data into meaningful insights using advanced analytics and visualization techniques. The Power BI: Data Mining and Big Data Analytics Training Course focuses on helping participants unlock the full potential of big data to support strategic decision-making and business growth.

Participants will learn how to import, process, and model large datasets using Microsoft Power BI while applying data mining techniques such as clustering, classification, and pattern recognition. The course also introduces advanced DAX functions and AI-powered analytics to enhance predictive capabilities.

This Big Data Analytics Course emphasizes practical application, allowing learners to design interactive dashboards, identify trends, and uncover hidden relationships within data. By the end of the training course, participants will be equipped to analyze complex datasets and deliver impactful insights that drive data-driven initiatives across their organizations.

What are the Goals?

Power BI Data Mining Training Course Objectives focus on developing strong analytical, visualization, and big data handling capabilities. This training course ensures participants can effectively use Power BI for advanced analytics and decision-making.

By the end of this training course, participants will be able to:

  • Process, visualize, and analyze large datasets using Power BI
  • Apply data mining techniques such as clustering, classification, and association
  • Use advanced DAX functions to create calculated fields and complex measures
  • Implement best practices for handling and transforming big data
  • Utilize AI and predictive analytics features within Power BI
  • Identify patterns, trends, and insights to support strategic decisions

Who is this Training Course for?

Power BI Big Data Analytics Course is designed for professionals who want to leverage data mining and advanced analytics to gain actionable insights from large datasets. This training course is ideal for individuals aiming to enhance their business intelligence capabilities.

This training course is suitable for:

  • Data analysts and business intelligence professionals working with big data
  • IT specialists involved in data integration and analytics
  • Business managers and decision-makers seeking data-driven strategies
  • Professionals in marketing, finance, operations, and research fields
  • Individuals aiming to apply data mining techniques in real-world scenarios

How will this Training Course be Presented?

Power BI Data Mining Training Course uses a highly practical and interactive learning approach to ensure maximum understanding and skill development. The training course combines theoretical knowledge with hands-on application using real datasets.

Participants will engage in instructor-led presentations covering key concepts such as big data analytics, data modeling, and visualization techniques. The course emphasizes “learning by doing,” where participants perform exercises using Power BI to solve real-world data challenges.

Group discussions and collaborative activities encourage deeper understanding of analytical results and insights. Hands-on projects enable participants to build dashboards, apply data mining techniques, and integrate AI-driven analytics.

This structured methodology ensures participants gain the confidence and expertise to handle big data, create impactful visualizations, and deliver actionable insights effectively.

Course Content

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

The Certificate

Recognition
  • Anderson Certificate of Completion for delegates who attend and complete the training course
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