About the Course
Today’s organizations no longer just want reports; they demand insight, foresight, and evidence that supports strategy. Whether you are tracking program results, monitoring financial performance, or analyzing operational data, leaders expect you to translate numbers into meaningful insights.
This course shifts data analytics with R and Power BI from a ‘technical skillset’ into a practical decision-support toolkit. You will not become a full-time data scientist, but rather a confident, hands-on analyst who can clean data, explore patterns, build visual dashboards, and communicate data stories clearly. You will learn to bring data into R and Power BI, transform it, visualize it, and share interactive insights with stakeholders. It is hands-on, applied, and tailored for professionals who must move from being ‘data-rich but insight-poor’ to confident, data-informed decision-makers.
Target Audience
This course is designed for professionals who regularly work with data, reports, metrics, and performance information.
This course is designed for:
- Managers who rely on data to track performance or outcomes
- Monitoring, evaluation, and learning (MEL/M&E) officers
- Finance and budgeting professionals who build analytical reports
- Program and project officers who track KPIs and results
- NGO and public sector staff preparing donor or government reports
- Business and operations analysts supporting strategic decisions
- HR and operations managers reporting on workforce or process metrics
- Strategy and planning teams using dashboards to monitor progress
- Product or service managers tracking user, sales, or service data
- Anyone who wants to use R and Power BI to turn data into insight and action
Course Objectives
This course equips you to transform raw data into clear, visual, and actionable insight using R and Power BI.
By the end of this course, you'll be able to:
- Understand the role of data analytics in modern financial and operational decision making
- Import, clean, and transform datasets using R and Power BI
- Explore and summarize data using descriptive statistics and visual analysis
- Build clear, interactive dashboards in Power BI for different stakeholders
- Use R to perform deeper analysis, modeling, and custom visualization
- Connect multiple data sources and build reliable data models
- Communicate analytical findings in simple, compelling language
- Apply analytics workflows to real projects, programs, and business cases
Requirements & Prerequisites
Participants should have a basic understanding of data concepts and familiarity with Excel. Prior programming or analytics experience is beneficial but not required.
Professional and Organizational Impact
When you can turn data into stories and decisions, you become a more valuable and trusted professional.
As a participant, you will benefit by:
- Improve your ability to analyze and present data with confidence
- Gain hands-on skills in R and Power BI that you can apply immediately
- Reduce manual work in spreadsheets through automated queries and dashboards
- Enhance your strategic thinking using evidence, trends, and patterns
- Strengthen your profile as a data-informed, insight-driven professional
- Build a portfolio of practical dashboards and analytical outputs
- Increase your influence in planning, budgeting, monitoring, or reporting discussions
Organizations that use R and Power BI effectively move from reactive reporting to proactive decision making.
Your organization will benefit from:
- Better visibility of key performance indicators across programs and departments
- Faster, more accurate reporting to leadership, boards, and donors
- Stronger alignment between data, strategy, and resource allocation
- Reduced reliance on manual, error-prone reporting processes
- Consistent, standard dashboards that different teams can trust
- Improved ability to monitor risks, trends, and emerging issues
- A stronger culture of evidence-based planning and accountability
Training Methodology
This is a practical, outcome-driven course designed to turn data analytics concepts into daily decision-making power.
Methodology includes:
- Hands-on exercises using real-world datasets
- Guided R scripting sessions for beginners and intermediate users
- Step-by-step Power BI dashboard development labs
- Scenario-based analytics tasks linked to finance, operations, and program performance
- Simple tools, templates, and code snippets you can reuse at work
- Case studies from public, private, and NGO contexts
- Reflection prompts to challenge current ‘reporting-first’ habits
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Data Analytics with R and Power BI Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
Skills Relevance
- Master the leading tools in data analytics to boost your marketability.
- Transform data into actionable insights using R and Power BI.
- Stay ahead with curriculum designed around the latest industry standards.
Career Advancement
- Equip yourself with high-demand skills that top employers actively seek.
- Open doors to higher salary prospects and roles in data-driven industries.
- Gain practical skills that add impressive credentials to your resume.
Expert Delivery
- Learn from seasoned professionals with real-world experience in data analytics.
- Benefit from personalized feedback that accelerates your learning curve.
- Access cutting-edge content updated regularly to reflect evolving industry trends.
