KES 134,208
FSPSS
Certificate
Foundation In SPSS
Foundation In SPSS (FSPSS) is a 1-month certificate course in Big Data Analytical, studied online, examined by Finstock Evarsity College. The full fee is KES 15,000. Finstock Evarsity College is a TVETA-accredited college in Nairobi, Kenya. The fee can be paid in a lump sum or in 3 instalments of KES 5,000.
4.8 (4 reviews) out of 5. Read the reviews.
1,618 learners enrolled
Overview
Foundation in SPSS
Course Overview
The Foundation in SPSS course at Finstock Evarsity College is an introductory-level program designed to equip learners with essential skills in Statistical Package for the Social Sciences (SPSS) for data management, analysis, and interpretation. This course provides a strong grounding in statistical concepts and practical data analysis techniques widely used in research, business, health sciences, education, and social sciences.
Through a practical and hands-on learning approach, learners will gain real-world skills in data entry, data cleaning, coding variables, generating descriptive statistics, and performing basic inferential statistical tests using SPSS software. The course blends foundational statistical theory with guided demonstrations, exercises, and applied case studies to ensure learners can confidently analyze data and interpret results.
By completing this program, learners will develop the competence required to handle research data effectively and apply statistical tools in academic, professional, and organizational settings. The course builds a solid base for advanced studies in statistics, research methods, data science, and analytics.
What is the minimum grade required to do foundation in SPSS?
The minimum entry requirement for enrolling in the Foundation in SPSS course is basic computer literacy. A basic understanding of mathematics at secondary school level is recommended but not mandatory. No prior experience in statistics or SPSS is required.
Mode of Delivery
The Foundation in SPSS course is delivered through home/office-based self-instructional learning.
Learners receive full access to the e-learning platform, downloadable learning materials, interactive discussion forums, and continuous tutor support throughout the course duration.
Career Opportunities
- Research Assistant
- Data Entry and Data Processing Officer
- Monitoring and Evaluation Assistant
- Statistical Assistant
- Market Research Assistant
- Survey Data Analyst
- Project Data Clerk
- Academic Research Support Officer
- NGO Data Assistant
- Business Data Support Officer
Program Goals
- Provide foundational knowledge of statistical concepts and data analysis.
- Develop practical skills in using SPSS for data entry, cleaning, and management.
- Equip learners with the ability to perform descriptive statistical analysis.
- Introduce basic inferential statistics using SPSS.
- Enhance learners’ ability to interpret statistical outputs and reports.
- Build confidence in handling real-world datasets.
- Prepare learners for further studies in advanced statistical analysis and research.
- Promote ethical practices in data handling and reporting.
Reasons to Study Foundation in SPSS
- Gain practical skills in one of the most widely used statistical software packages.
- Build a strong foundation in research data analysis.
- Enhance academic research and project work performance.
- Improve employability in research, business, and NGO sectors.
- Develop confidence in interpreting statistical results.
- Learn through practical, hands-on data analysis exercises.
- Study at your own pace through flexible online learning.
- Prepare for advanced courses in statistics, data science, and analytics.
- Strengthen your data-driven decision-making skills.
- Acquire a marketable skill applicable across multiple industries.
What we Offer
Finstock Evarsity College offers a wide range of courses geared toward job creation, career advancement, and professional development. Our courses and product offerings are categorized as online college-based programs, degree programs, freemium courses, and premium professional resources.
Both freemium and premium online courses come with certificates of completion, allowing learners to register instantly and begin studying at their convenience.
Enroll and study in one of the best online Foundation in SPSS courses. Learn from experienced instructors, engage with practical datasets, and gain real-world statistical skills. Join Finstock Evarsity College for a flexible, accessible, and career-focused learning experience.
Tags
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Quick answers
How much does Foundation In SPSS cost?
The full fee for Foundation In SPSS at Finstock Evarsity College is KES 15,000, made up of registration (KES 1,000) and tuition (KES 14,000).
Can I pay for Foundation In SPSS in instalments?
Yes. You can pay the KES 15,000 fee for Foundation In SPSS in a lump sum or in 3 instalments of KES 5,000.
How long does Foundation In SPSS take?
Foundation In SPSS takes 1 month.
Can I study Foundation In SPSS online?
Yes. Foundation In SPSS is studied online, so you can take it from anywhere.
What qualification do I get from Foundation In SPSS?
Foundation In SPSS is a certificate course examined and awarded by Finstock Evarsity College: learners who complete it receive a Finstock Evarsity College certificate.
When can I start Foundation In SPSS?
The main intakes are in January, April and September, but there is no fixed deadline: you can start as soon as you have enrolled.
Course details last updated .
What you will study
Foundation in SPSS
- FSPSS001 Introduction To SPSS And Basic Statistical Analysis
Fees
| Item | Amount |
|---|---|
| Registration | KES 1,000 |
| Tuition | KES 14,000 |
| Total | KES 15,000 |
Paying in instalments
All fees are payable in a lump sum or in instalments. The course runs over one trimester, and each trimester's fee can be paid in 3 instalments.
| Trimester | Total per trimester |
|---|---|
| Trimester 1 | KES 15,000 ($ 150) |
| Total | KES 15,000 ($ 150) |
The trimester fee of KES 15,000 ($ 150) is payable in 3 instalments of KES 5,000 ($ 50).
Requirements
Entry requirements
Basic Computer Literacy
Practical requirements
The cost of practicals, internships or industrial requirements is KES 30,000 ($ 300) and only applies to courses that require practicals.
Good to know
- All Fees are payable in installements, for details check FAQs.
- Digital (downloadable) certificates are available. Printing and shipping of hardcopy certificate can be done at a cost of KES 2,000 ($ 20).
Instructors
- GIFT KITHOME KALENGA
- DENNIS NGUYO KIBOCHA
- SHELDON TITUS
- IAN ASSAH
Frequently asked questions
Foundation In SPSS introduces learners to the use of SPSS software for managing, analysing and interpreting quantitative data.
Foundation In SPSS currently requires basic computer literacy.
Foundation In SPSS develops practical skills in data entry, coding, data cleaning, descriptive statistics, basic statistical analysis and interpretation of SPSS output.
Foundation In SPSS can strengthen skills useful in research, data analysis, monitoring and evaluation, social-science research, academic research and business analysis.
Foundation In SPSS provides practical introductory statistical-analysis skills through flexible online learning, making it useful for students, researchers and professionals.
Reviews
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AMOS KITUA KYENZE
Kenya ·Rated 4 out of 5
As a continuing SPSS student, I’ve found the curriculum engaging and very practical. The support from the college team ensures I never fall behind, and I appreciate how each module focuses on applying SPSS tools to real data for hands-on learning.
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IAN BERNARD MUTUGI MUNENE
Kenya ·Rated 5 out of 5
I’ve just started the Basics in SPSS Training course, and it has been incredibly useful. The lessons are clear, affordable, and easy to follow, which makes understanding statistical analysis much simpler. I love how the course allows me to learn at my own pace.
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ALFRED YATOR KOMEN
Kenya ·Rated 5 out of 5
The practicability entailed in the program is unparalleled.
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EUNICE WANJIRU MWANGI
Kenya ·Rated 5 out of 5
Prompt replies from the instructors and adequate notes for the course. Keep up the good work.
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