How long is the Python for Data Analysis course?

The course runs approximately 29 hours across 8 modules and 16 lessons, completed online at your own pace.

How much does Python for Data Analysis cost?

The training fee is KES 18,000, with M-Pesa, card and Paystack payment options and lifetime access.

Is Python for Data Analysis certified?

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

Python for Data Analysis | CCS Online Learning

Name: Python for Data Analysis
Price: 18000 KES

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

What You Will Learn

✓Implement the core principles and frameworks of python for data analysis
✓Optimise practical tools to real workplace challenges
✓Create and improve current practices in their organisation
✓Analyse and implement effective approaches with measurable outcomes
✓Create data analytics practice with organisational strategy
✓Analyse risk, compliance and governance considerations

Modules

Lessons

29 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 · 100 min · 3 hours

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Understanding the Fundamentals

57 min

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Key Concepts and Terminology

43 min

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📝 Study Notes

KEY TAKEAWAYS — Foundations and Key Concepts • Python for Data Analysis 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 · 84 min · 3 hours

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Reading the Operating Environment

42 min

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Aligning with Organisational Strategy

42 min

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📝 Study Notes

KEY TAKEAWAYS — Strategic Context and Environment • Python for Data Analysis 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 · 103 min · 4 hours

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Essential Frameworks and Models

54 min

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Practical Tools and Techniques

49 min

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📝 Study Notes

KEY TAKEAWAYS — Core Frameworks and Tools • Python for Data Analysis 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 · 93 min · 4 hours

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Planning for Success

42 min

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Designing the Approach

51 min

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📝 Study Notes

KEY TAKEAWAYS — Planning and Design • Python for Data Analysis 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 · 104 min · 4 hours

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Executing Effectively

40 min

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Managing Delivery and Stakeholders

64 min

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📝 Study Notes

KEY TAKEAWAYS — Implementation and Execution • Python for Data Analysis 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 · 112 min · 4 hours

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Metrics, KPIs and Dashboards

52 min

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Continuous Improvement

60 min

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📝 Study Notes

KEY TAKEAWAYS — Measurement and Performance • Python for Data Analysis 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 · 96 min · 4 hours

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Managing Risk and Compliance

55 min

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Governance and Accountability

41 min

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📝 Study Notes

KEY TAKEAWAYS — Risk, Governance and Compliance • Python for Data Analysis 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 · 100 min · 3 hours

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Leading People and Culture

48 min

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Sustaining Results Long-Term

52 min

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📝 Study Notes

KEY TAKEAWAYS — Leadership, Culture and Sustainability • Python for Data Analysis 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:

✓Implement the core principles and frameworks of python for data analysis
✓Optimise practical tools to real workplace challenges
✓Create and improve current practices in their organisation
✓Analyse and implement effective approaches with measurable outcomes
✓Create data analytics practice with organisational strategy
✓Analyse risk, compliance and governance considerations

Quick Details

Duration29 hours

Modules8 modules

Lessons16 lessons

LevelIntermediate

PriceKES 18,000

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Python for Data Analysis

What You Will Learn

Course Curriculum

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Learning Outcomes

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