Power BI: Data Mining and Big Data Analytics

Upcoming Sessions

Classroom sessions
Online sessions

Course Introduction

In today’s data-driven landscape, organizations generate massive volumes of information every second. The ability to convert this data into meaningful insights has become a vital advantage for companies seeking to improve performance, predict trends, and make informed decisions. Data mining and big data analytics enable businesses to identify hidden patterns, forecast future outcomes, and derive strategic intelligence. This Power BI: Data Mining and Big Data Analytics training course equips professionals with the skills needed to explore, analyze, and visualize large datasets using Microsoft Power BI, a leading business intelligence platform widely used for big data analysis.

Throughout the course, participants will learn how to import, transform, and analyze extensive datasets, applying advanced data mining techniques to extract valuable insights. The training focuses on hands-on learning, ensuring learners can use Power BI tools confidently in real business scenarios. Participants will explore how to create impactful visualizations, build efficient data models, and use advanced DAX functions to perform complex calculations. Additionally, the course covers predictive analytics and AI-driven features in Power BI, empowering users to generate forecasts and identify key influencers within their data.

By the end of this course, attendees will be able to confidently handle big data challenges, interpret complex datasets, and present insights through compelling dashboards. This training course is designed for data analysts, business intelligence professionals, and decision-makers who want to leverage big data analytics to support strategic initiatives and drive business growth.

The training course will feature:

  • An overview of data mining and big data analytics in today’s data-driven world
  • Understanding how Power BI can be used to analyze large datasets
  • Clear course objectives and expected outcomes for participants
  • Practical exercises and real-world case studies
  • Hands-on sessions using Power BI to deliver actionable insights

Objectives

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

  • Understand and apply data mining techniques to analyze large datasets in Power BI
  • Use Power BI tools to import, clean, transform, and model big data efficiently
  • Create advanced DAX measures for complex analytics and tailored insights
  • Build visually impactful dashboards to identify patterns, trends, and anomalies
  • Apply predictive analytics and AI-driven features for forecasting and trend detection
  • Learn best practices for handling big data workflows, from ingestion to visualization

This training course aims to build practical skills that can be applied immediately in the workplace. Participants will develop the ability to use Power BI as a complete big data analytics solution, enabling data-driven decision-making and enhancing organizational performance.

Training Methodology

This Power BI training course follows a learner-centered approach designed to enhance understanding and retention through active participation. The training includes clear theoretical explanations of key concepts, but the main focus is on practical exercises performed by participants under the instructor’s guidance. This learning by doing method ensures learners gain real-world experience working with big datasets, using Power BI tools to solve actual business challenges.

Participants will work on hands-on tasks, applying data mining techniques, building data models, and creating advanced visualizations. The training delivery will include presentations, group discussions, interactive seminars, and collaborative investigations. Each session is supported by an e-manual and practical exercises, enabling participants to apply the techniques directly within Power BI. The course also includes case studies and real-world examples to reinforce learning and demonstrate how big data analytics can drive strategic decision-making.

Who Should Attend?

This training course is ideal for professionals who want to develop advanced skills in big data analytics using Power BI. It is particularly beneficial for individuals who are responsible for analyzing large datasets, generating insights, and supporting business strategy. The course is designed to help participants improve their ability to visualize complex data and apply data mining techniques in practical scenarios.

This course is suitable for:

  • Data analysts and business intelligence professionals seeking advanced analytics skills
  • IT specialists and database professionals working with large datasets
  • Business managers and decision-makers aiming to use big data for strategic planning
  • Marketing, finance, operations, and research professionals who need data mining expertise
  • Professionals involved in reporting, dashboarding, and performance analysis
  • Anyone looking to enhance their Power BI skills for big data and predictive analytics

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

Certificate

  • Copex Certificate of Attendance will be provided to delegates who attend and complete the course.

Material published by Copex shown here is copyrighted. All rights reserved. Any unauthorized copying, distribution, use, dissemination, downloading, storing (in any medium), transmission, reproduction or reliance in whole or any part of this course outline is prohibited and will constitute an infringement of copyright.

Whats Makes Copex Courses Unique?

COPEX Training is your gateway to professional growth, with over 20 years of experience turning potential into success. Each year, we deliver over 1,000 courses in 50+ countries, earning a stellar 98% satisfaction rate. Trusted by global giants like BP, the United Nations, and HSBC, we partner with top certification bodies to provide career-focused training that empowers individuals and drives organizational breakthroughs. Our mission? To transform the way professionals learn and grow in today’s fast-changing industries. Through expert insights, cutting-edge methods, and hands-on approaches, we equip you with the skills and confidence to tackle challenges, seize opportunities, and thrive in your career.

Led by a passionate leadership team and supported by a network of world-class trainers, COPEX Training connects professionals worldwide with life-changing opportunities. We are committed to excellence, ensuring every participant leaves with the tools, expertise, and confidence to conquer an ever-evolving world.

Related Categories

Big Data Analytics & Data Science Finance & Accounting Research Methods and Analytics

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Our cancellation policy varies depending on the circumstances presented. Generally, cancellations must be initiated in formal writing at least 14 days prior to the commencement date of the training course. Further, the option to shift an existing registration to another training course on a later date is possible. Otherwise, a full refund will be initiated.

Our training courses courses are being held at five-star hotels in prime and iconic destinations across the globe. Cities such as Amsterdam, Barcelona, Dubai, Geneva, Istanbul, Kuala Lumpur, London, Houston, New York, Paris, Vienna, Zurich, etc.

Our training courses will run for 5 hours per day. The standard daily timing is from 8:30 am – 3:30 pm including the coffee/tea breaks and lunch.

The training course fee can be settled by either:

  • Bank transfer
  • Credit Card

Published training course fees are inclusive of the training venue, training manual, writing materials, lunch and coffee breaks with refreshments over the entire duration of the training course.

Upon successful registration, processing window will take not more than 24 hours from the time of registration. An email including the registration confirmation, invoice and joining instructions will be sent to the provided email address.

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