Course Overview

Data Analytics using Google Data Studio is a practical and comprehensive training program designed to equip professionals with the skills required to transform raw data into meaningful insights through interactive dashboards, automated reports, and advanced data visualizations. Now known as Google Looker Studio, this powerful business intelligence platform enables organizations to connect multiple data sources, create real-time reports, monitor key performance indicators, and support data-driven decision-making. As organizations increasingly embrace Data Analytics, Business Intelligence, Dashboard Development, Data Visualization, Reporting Automation, Google Looker Studio, Performance Analytics, and Data-Driven Decision Making, the demand for professionals skilled in modern reporting and analytics tools continues to grow.

The training explores the complete analytics workflow using Google Data Studio, from data connection and preparation to dashboard creation, visualization design, performance monitoring, and report sharing. Participants will learn how to integrate data from Google Analytics, Google Sheets, BigQuery, SQL databases, Excel files, cloud platforms, and third-party applications to create dynamic and interactive business intelligence solutions. The course combines theoretical foundations with practical exercises using real-world datasets and organizational reporting scenarios.

Participants will gain hands-on experience in creating professional dashboards, designing effective visualizations, building calculated fields, applying filters and controls, automating reports, and developing performance monitoring systems. The course examines how Google Data Studio can support business operations, marketing analytics, financial reporting, project monitoring, healthcare analytics, education management, and development program reporting. Through practical exercises and relevant case studies, participants will develop confidence in transforming complex datasets into clear, actionable, and visually appealing insights.

The training further addresses emerging trends in data visualization and business intelligence, including real-time analytics, cloud-based reporting, predictive analytics integration, AI-powered dashboards, self-service analytics, data storytelling, mobile reporting, and enterprise data governance. Participants will develop competencies required to build scalable reporting systems that improve organizational performance, transparency, and strategic decision-making.

Course Objectives

1. Understand the fundamentals of data analytics and business intelligence using Google Data Studio.

2. Connect and integrate multiple data sources into Google Data Studio dashboards.

3. Design interactive and professional data visualization reports.

4. Create calculated fields, metrics, and custom dimensions for analysis.

5. Develop automated reporting and real-time monitoring systems.

6. Apply dashboard design best practices and data storytelling techniques.

7. Analyze organizational performance using visual analytics tools.

8. Share, collaborate, and manage reports effectively across teams.

9. Support evidence-based decision-making through interactive dashboards.

10. Explore advanced features and emerging trends in data visualization and analytics.

Organizational Benefits

1. Improved access to real-time business intelligence and performance insights.

2. Enhanced data-driven decision-making across departments.

3. Reduced reporting time through automation and dashboarding.

4. Improved visibility of organizational performance and KPIs.

5. Better communication of insights through visual reporting.

6. Enhanced collaboration and information sharing among teams.

7. Increased operational efficiency and productivity.

8. Improved monitoring and evaluation of projects and programs.

9. Better identification of trends, risks, and opportunities.

10. Enhanced strategic planning and organizational performance management.

Target Participants

· Data analysts and business intelligence professionals

· Monitoring and Evaluation (M&E) specialists

· Project and program managers

· Marketing and digital analytics professionals

· Financial analysts and reporting officers

· Researchers and data management personnel

· Government and public sector professionals

· NGO and development organization staff

· Operations and performance management officers

· IT and digital transformation professionals

· Consultants and business advisors

· Graduate and postgraduate students interested in data analytics and visualization

Course Outline

Module 1: Introduction to Google Data Studio and Business Intelligence

1. Overview of Google Data Studio (Looker Studio) and business intelligence concepts

2. Understanding data analytics and visualization principles

3. Exploring the Google Data Studio interface and features

4. Business intelligence workflows and reporting frameworks

5. Key performance indicators (KPIs) and performance measurement

6. Data storytelling and communication fundamentals

Case Study:
Developing a business intelligence strategy to improve organizational reporting and performance monitoring.

Module 2: Data Sources, Integration, and Preparation

1. Connecting Google Sheets, Analytics, and BigQuery data

2. Integrating SQL databases and external data sources

3. Data preparation and transformation techniques

4. Managing data quality and consistency

5. Data blending and combining multiple datasets

6. Creating calculated fields and custom metrics

Case Study:
Building a centralized reporting system that integrates data from multiple organizational departments.

Module 3: Dashboard Development and Data Visualization

1. Designing interactive dashboards and scorecards

2. Creating charts, graphs, tables, and maps

3. Applying visualization best practices and design principles

4. Using filters, controls, and date range selectors

5. Building user-friendly and responsive dashboards

6. Customizing reports for different stakeholder groups

Case Study:
Creating an executive dashboard to monitor organizational performance and strategic objectives.

Module 4: Advanced Analytics and Reporting Techniques

1. Advanced calculated fields and formulas

2. Trend analysis and comparative performance reporting

3. Interactive drill-down and exploration capabilities

4. Geospatial and location-based visualizations

5. Automated reporting and scheduled report delivery

6. Performance benchmarking and KPI tracking

Case Study:
Developing an analytics dashboard to track program outcomes and identify performance improvement opportunities.

Module 5: Collaboration, Governance, and Data Storytelling

1. Sharing and collaborating on reports securely

2. User permissions and access management

3. Data governance and reporting standards

4. Effective storytelling through visual analytics

5. Presenting analytical findings to stakeholders

6. Building organizational reporting frameworks

Case Study:
Implementing a governance framework for enterprise-wide dashboard management and reporting consistency.

Module 6: Advanced Applications and Future Trends

1. Integrating predictive analytics into dashboards

2. Real-time data monitoring and performance management

3. Artificial intelligence and automated insights in reporting

4. Mobile analytics and cloud-based business intelligence

5. Enterprise reporting and digital transformation strategies

6. Future trends in data visualization and self-service analytics

Case Study:
Designing an integrated analytics ecosystem that combines Google Data Studio dashboards, automated reporting, real-time KPI monitoring, predictive analytics, cloud data integration, AI-driven insights, and executive decision-support systems to improve organizational performance, accountability, operational efficiency, and strategic planning.

Essential Information

Our courses are customizable to suit the specific needs of participants.
Participants are required to have proficiency in the English language.
Our training sessions feature comprehensive guidance through presentations, practical exercises, web-based tutorials, and collaborative group activities. Our facilitators boast extensive expertise, each with over a decade of experience.
Upon fulfilling the training requirements, participants will receive a prestigious Global King Project Management certificate.
Training sessions are conducted at various Global King Project Management Centers, including locations in Nairobi, Mombasa, Kigali, Dubai, Lagos, and others.
Organizations sending more than two participants from the same entity are eligible for a generous 20% discount.
The duration of our courses is adaptable, and the curriculum can be adjusted to accommodate any number of days.
To ensure seamless preparation, payment is expected before the commencement of training, facilitated through the Global King Project Management account.
For inquiries, reach out to us via email at training@globalkingprojectmanagement.org or by phone at +254 114 830 889.
Additional amenities such as tablets and laptops are available upon request for an extra fee. The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a certificate of successful completion. Participants are responsible for arranging and covering their travel expenses, including airport transfers, visa applications, dinners, health insurance, and any other personal expenses.

Data Analytics using Google Data Studio Training Course