Introduction

Business Intelligence on Google Cloud has become a critical capability for modern data-driven organizations seeking real-time insights, scalable analytics, and advanced visualization. Business Intelligence on Google Cloud Training Course is designed to equip professionals with cutting-edge skills in cloud-based BI tools, data warehousing, data integration, and dashboard development using Google Cloud technologies. Participants will gain hands-on experience with BigQuery, Looker, and Data Studio, enabling them to transform raw data into actionable insights while leveraging automation, artificial intelligence, and machine learning-driven analytics. The course emphasizes performance optimization, cost efficiency, and secure data governance to ensure enterprise-grade analytics solutions.

With the rapid evolution of digital transformation, organizations require professionals who can implement cloud-native BI solutions, manage large datasets, and deliver interactive dashboards for strategic decision-making. This training focuses on real-world applications, including predictive analytics, real-time reporting, and scalable data pipelines. By integrating modern data engineering practices with BI tools, participants will develop expertise in data modeling, ETL processes, and advanced visualization techniques. The course also highlights trending technologies such as data lakes, AI-powered analytics, and self-service BI, ensuring learners remain competitive in the global data ecosystem.

Programme Curriculum

Business Intelligence on Google Cloud Training Course

Introduction

Course Objectives

Develop expertise in Google Cloud BI tools and data analytics platforms
Master BigQuery for large-scale data warehousing and analytics
Implement ETL pipelines using modern data integration techniques
Design interactive dashboards with advanced data visualization tools
Apply machine learning concepts in business intelligence workflows
Optimize query performance and cost efficiency in cloud environments
Ensure data governance, security, and compliance in BI systems
Build real-time analytics solutions for decision-making
Integrate multiple data sources for unified analytics
Leverage AI-driven insights for predictive analytics
Implement scalable and resilient cloud BI architectures
Enhance data storytelling and reporting capabilities
Develop hands-on skills through real-world case studies

Organizational Benefits

Improved decision-making through real-time analytics
Enhanced operational efficiency using automated data pipelines
Scalable data infrastructure with reduced operational costs
Increased data accuracy and consistency across departments
Faster reporting and business insights generation
Strengthened data security and compliance frameworks
Empowered teams with self-service BI capabilities
Competitive advantage through advanced analytics
Better customer insights and personalization strategies
Increased ROI from cloud-based analytics investments

Target Audiences

Data Analysts
Business Intelligence Professionals
Data Engineers
Cloud Engineers
IT Managers
Database Administrators
Business Analysts
Decision Makers and Executives

Course Duration: 5 days

Course Modules

Module 1: Introduction to Business Intelligence on Google Cloud

Overview of BI concepts and cloud analytics
Introduction to Google Cloud ecosystem
Key BI tools and services
Data-driven decision-making strategies
Cloud BI architecture fundamentals
Case study: Implementing BI strategy in a retail organization

Module 2: Data Warehousing with BigQuery

Introduction to BigQuery architecture
Data loading and querying techniques
Schema design and data modeling
Query optimization strategies
Cost management in BigQuery
Case study: Building a scalable data warehouse

Module 3: Data Integration and ETL Pipelines

ETL vs ELT concepts
Data ingestion techniques
Using Cloud Dataflow and Pub/Sub
Data transformation best practices
Automation of data pipelines
Case study: Real-time data integration for financial analytics

Module 4: Data Visualization and Reporting

Introduction to Looker and Data Studio
Designing interactive dashboards
Data storytelling techniques
Visualization best practices
Custom reporting solutions
Case study: Executive dashboard for business insights

Module 5: Advanced Analytics and Machine Learning

Introduction to AI in BI
Predictive analytics techniques
Integration with ML tools
Data preparation for machine learning
Automated insights generation
Case study: Predictive sales forecasting

Module 6: Data Governance and Security

Data security principles in cloud
Access control and IAM
Compliance and regulatory standards
Data quality management
Risk mitigation strategies
Case study: Securing enterprise data systems

Module 7: Performance Optimization and Cost Management

Query performance tuning
Resource optimization strategies
Cost monitoring and budgeting
Efficient data storage techniques
Scaling BI solutions
Case study: Reducing analytics costs in large enterprises

Module 8: Real-Time Analytics and Streaming

Introduction to streaming data
Real-time analytics tools
Event-driven architectures
Data processing pipelines
Monitoring and troubleshooting
Case study: Real-time fraud detection system

Training Methodology

Instructor-led interactive sessions
Hands-on labs and practical exercises
Real-world case studies and scenarios
Group discussions and collaborative learning
Live demonstrations on Google Cloud platform
Continuous assessments and feedback
Capstone project for practical implementation
Access to learning resources and documentation

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 Looker Google Data Studio and BigQuery BI Engine

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