Introduction

Power Business Intelligence for Big Data Training Course is a comprehensive program designed to equip professionals with advanced analytical and visualization skills for handling massive datasets. This course focuses on integrating Power BI with Big Data platforms to uncover actionable insights, drive data-driven decisions, and optimize business performance. Participants will gain hands-on experience in transforming raw data into dynamic dashboards and interactive reports while leveraging trending analytical tools, real-time analytics, and predictive modeling techniques.

With the increasing demand for data-driven strategies in modern enterprises, this training empowers professionals to harness the power of Big Data using Power BI. The program emphasizes practical applications, performance optimization, and real-world case studies, ensuring participants can implement efficient data analytics workflows. By the end of this course, learners will be able to design scalable solutions for reporting, data visualization, and decision-making, aligning with current industry trends and business intelligence best practices.

Programme Curriculum

Power Business Intelligence for Big Data Training Course

Introduction

Course Objectives

Master Power BI architecture and integration with Big Data ecosystems.
Develop advanced data modeling and transformation skills for large datasets.
Create interactive dashboards and real-time reporting solutions.
Leverage DAX (Data Analysis Expressions) for complex data calculations.
Implement predictive analytics and AI-driven insights in Power BI.
Optimize performance for handling Big Data using Power BI.
Apply ETL (Extract, Transform, Load) processes on large-scale datasets.
Connect Power BI to various Big Data sources, including Hadoop and Azure Data Lake.
Ensure data governance, security, and compliance in reporting solutions.
Use visualization best practices to communicate insights effectively.
Design scalable and reusable data models for enterprise applications.
Apply real-world business scenarios for actionable decision-making.
Build end-to-end Big Data analytics solutions with Power BI integration.

Organizational Benefits

Enhanced decision-making through interactive dashboards.
Faster data analysis from Big Data platforms.
Improved operational efficiency with actionable insights.
Streamlined reporting across departments.
Predictive analytics to anticipate market trends.
Real-time monitoring of KPIs and business metrics.
Standardized data governance and compliance.
Reduced dependency on IT for reporting tasks.
Empowered teams with self-service analytics.
Competitive advantage through data-driven strategies.

Target Audiences

Data Analysts and Business Intelligence Professionals
Data Engineers and Data Scientists
IT Managers and BI Developers
Business Managers and Decision-Makers
Big Data Professionals and Architects
Finance and Marketing Analysts
Operations and Strategy Professionals
Students and Professionals seeking Power BI certification

Course Duration: 5 days

Course Modules

Module 1: Introduction to Power BI and Big Data

Overview of Power BI and Big Data concepts
Power BI architecture and components
Connecting Power BI to Big Data platforms
Data types, sources, and integration techniques
Case Study: Building a sales performance dashboard with Big Data
Hands-on practical exercises

Module 2: Data Transformation and Modeling

Using Power Query for data transformation
Data cleaning and preprocessing techniques
Advanced data modeling with relationships
Handling large datasets efficiently
Implementing calculated columns and measures
Case Study: Financial data modeling for forecasting

Module 3: Advanced Data Visualization Techniques

Designing interactive dashboards and reports
Using charts, maps, and custom visuals
Applying conditional formatting for insights
Drill-through and drill-down analysis
Creating KPI indicators and scorecards
Case Study: Marketing analytics dashboard visualization

Module 4: DAX for Big Data Analytics

Introduction to DAX functions and formulas
Time intelligence and aggregation functions
Advanced calculations and measures
Handling large data models with DAX
Optimization techniques for performance
Case Study: Predicting customer churn with DAX

Module 5: Real-Time Data and Streaming Analytics

Connecting Power BI to streaming datasets
Real-time dashboards and alerts
Performance optimization for live data
Monitoring operational metrics in real-time
Integration with IoT and cloud services
Case Study: Real-time sales monitoring dashboard

Module 6: Big Data Integration Techniques

Connecting to Hadoop, Spark, and Azure Data Lake
Import vs DirectQuery vs Composite models
Data extraction and ETL processes
Handling semi-structured and unstructured data
Data transformation best practices
Case Study: Retail Big Data analytics solution

Module 7: Predictive Analytics and AI in Power BI

Integrating AI insights and Machine Learning models
Forecasting and trend analysis
Scenario planning and simulations
Anomaly detection with Power BI AI visuals
Using Python and R scripts for advanced analytics
Case Study: Predictive sales analytics using AI

Module 8: Governance, Security, and Deployment

Data governance frameworks and best practices
Role-level security and access management
Deployment pipelines and version control
Auditing and compliance with organizational standards
Optimizing report performance and user experience
Case Study: Implementing secure dashboards for enterprise use

Training Methodology

Instructor-led interactive sessions
Hands-on lab exercises with real datasets
Live demonstrations of Power BI integration with Big Data
Group exercises and collaborative learning activities
Case study discussions for real-world problem-solving
Q&A sessions for personalized guidance

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

MS Word Microsoft Power BI Apache Hadoop and Microsoft Azure Synapse Analytics

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000