How long is the R Programming for Analytics course?

The course runs approximately 28 hours across 8 modules and 16 lessons, completed online at your own pace.

How much does R Programming for Analytics cost?

The training fee is KES 20,000, with M-Pesa, card and Paystack payment options and lifetime access.

Is R Programming for Analytics certified?

Yes. On passing the final assessment you receive a GLI-branded certificate with QR verification. CCS is NITA-accredited.

R Programming for Analytics | CCS Online Learning

Name: R Programming for Analytics
Price: 20000 KES

This comprehensive intermediate course equips professionals with the skills, tools and confidence to excel in r programming for analytics. Grounded in global best practice and tailored to the African context.

What You Will Learn

✓Develop the core principles and frameworks of r programming for analytics
✓Align practical tools to real workplace challenges
✓Design and improve current practices in their organisation
✓Create and implement effective approaches with measurable outcomes
✓Evaluate data analytics practice with organisational strategy
✓Drive risk, compliance and governance considerations

Modules

Lessons

28 hours

Duration

🎍 Certificate & NITA Accreditation

On passing the final exam (50 MCQs, 70% pass mark, unlimited retakes) you receive a GLI-branded PDF certificate with QR verification. CCS is NITA-accredited — eligible employers can claim NITA levy reimbursement for this course.

Course Curriculum

8 modules · 16 lessons · Interactive quizzes · Study notes · Practical exercises · Final exam

Module 1: Foundations and Key Concepts

2 lessons · 114 min · 4 hours

⌄

▶

Understanding the Fundamentals

54 min

⌄

▶

Key Concepts and Terminology

60 min

⌄

📝 Study Notes

KEY TAKEAWAYS — Foundations and Key Concepts • R Programming for Analytics requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Foundations and Key Concepts". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 2: Strategic Context and Environment

2 lessons · 116 min · 4 hours

⌄

▶

Reading the Operating Environment

58 min

⌄

▶

Aligning with Organisational Strategy

58 min

⌄

📝 Study Notes

KEY TAKEAWAYS — Strategic Context and Environment • R Programming for Analytics requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Strategic Context and Environment". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 3: Core Frameworks and Tools

2 lessons · 92 min · 3 hours

⌄

▶

Essential Frameworks and Models

41 min

⌄

▶

Practical Tools and Techniques

51 min

⌄

📝 Study Notes

KEY TAKEAWAYS — Core Frameworks and Tools • R Programming for Analytics requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Core Frameworks and Tools". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 4: Planning and Design

2 lessons · 102 min · 4 hours

⌄

▶

Planning for Success

46 min

⌄

▶

Designing the Approach

56 min

⌄

📝 Study Notes

KEY TAKEAWAYS — Planning and Design • R Programming for Analytics requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Planning and Design". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 5: Implementation and Execution

2 lessons · 117 min · 3 hours

⌄

▶

Executing Effectively

63 min

⌄

▶

Managing Delivery and Stakeholders

54 min

⌄

📝 Study Notes

KEY TAKEAWAYS — Implementation and Execution • R Programming for Analytics requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Implementation and Execution". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 6: Measurement and Performance

2 lessons · 94 min · 3 hours

⌄

▶

Metrics, KPIs and Dashboards

51 min

⌄

▶

Continuous Improvement

43 min

⌄

📝 Study Notes

KEY TAKEAWAYS — Measurement and Performance • R Programming for Analytics requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Measurement and Performance". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 7: Risk, Governance and Compliance

2 lessons · 95 min · 3 hours

⌄

▶

Managing Risk and Compliance

45 min

⌄

▶

Governance and Accountability

50 min

⌄

📝 Study Notes

KEY TAKEAWAYS — Risk, Governance and Compliance • R Programming for Analytics requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Risk, Governance and Compliance". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 8: Leadership, Culture and Sustainability

2 lessons · 113 min · 4 hours

⌄

▶

Leading People and Culture

55 min

⌄

▶

Sustaining Results Long-Term

58 min

⌄

📝 Study Notes

KEY TAKEAWAYS — Leadership, Culture and Sustainability • R Programming for Analytics requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Leadership, Culture and Sustainability". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Who Should Attend

▸Managers and supervisors responsible for data analytics
▸Professionals seeking to advance their careers in data analytics
▸Team leaders and officers in the public and private sectors
▸Anyone transitioning into a data analytics role
▸Consultants, advisors and practitioners in the field

No prior qualification is required. This course is delivered 100% online and is suitable for professionals across Kenya and the wider African region.

Learning Outcomes

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

✓Develop the core principles and frameworks of r programming for analytics
✓Align practical tools to real workplace challenges
✓Design and improve current practices in their organisation
✓Create and implement effective approaches with measurable outcomes
✓Evaluate data analytics practice with organisational strategy
✓Drive risk, compliance and governance considerations

Quick Details

Duration28 hours

Modules8 modules

Lessons16 lessons

LevelIntermediate

PriceKES 20,000

Need to train a team?

We offer group rates and in-house delivery for organisations.

Request a Quote

R Programming for Analytics

What You Will Learn

Course Curriculum

Who Should Attend

Learning Outcomes

Related Courses

Ready to Get Certified?