Entry Requirements for Special Topics In SPSS
Basic Computer Literacy
Duration: 1 Months
Delivery Method: Online
Fee Structure for Special Topics In SPSS
| Full Course Fees | |
|---|---|
| Registration Fee | KES 1,000.00 ($ 10.00) |
| Certification Fee | KES 0.00 ($ 0.00) |
| Administration Fee | KES 0.00 ($ 0.00) |
| Internal Exam Fee | KES 0.00 ($ 0.00) |
| External Exam Fee | KES 0.00 ($ 0.00) |
| Examining Body Membership Fee * | KES 0.00 ($ 0.00) |
| Tuition Fee | KES 19,000.00 ($ 190.00) |
| Fees Totals | KES 20,000.00 ($ 200.00) |
| * Examining Body Membership Fee may be payable through us or directly to the Examining Body | |
All Fees are payable in lumpusm or in installments, for details see below.
Breakdown per semester,
| Trimester | Total Per Trimester |
|---|---|
| Trimester 1 | KES 20,000.00 ($ 200.00) |
| Total | KES 20,000.00 ($ 200.00) |
NB: Fees are payable in 3 installments as detailed below:
The trimester fees of KES 20,000.00 ($ 200.00) is payable in 3 installments of KES 6,666.67 ($ 66.67)
Course Requirements for Special Topics In SPSS
- 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).
Practical Requirements for Special Topics In SPSS (where applicable)
The cost of practicals, internships or industrial requirements is KES 30,000 ($ 300) and only applies to courses that require practicals.
Course Units/Overview for Special Topics In SPSS
Special topics in SPSS
| Unit ID | Unit Name |
|---|---|
| STSPSS001 | Special Topics In SPSS |
Course Description for Special Topics In SPSS
Special Topics in SPSS
Course Overview
The Special Topics in SPSS course at Finstock Evarsity College is an advanced, industry-relevant program designed to equip learners with specialized statistical analysis skills using IBM SPSS software. This course focuses on advanced analytical techniques, complex data modeling, and modern data interpretation approaches required in research, business analytics, social sciences, healthcare, and policy development.
The program provides in-depth coverage of advanced statistical procedures including multivariate analysis, logistic regression, factor analysis, cluster analysis, survival analysis, structural equation modeling concepts, advanced data transformation techniques, and research reporting standards. Learners engage in practical, scenario-based exercises using real-world datasets to strengthen analytical confidence and interpretation accuracy.
Through hands-on applications, advanced data manipulation, and interpretation-focused learning, participants develop the competence to manage complex datasets and generate meaningful, evidence-based insights. Upon completion, learners will be well-prepared to conduct high-level research analysis, consultancy work, academic projects, and institutional data-driven decision-making processes.
What is the minimum grade required to do special topics in SPSS?
There is no strict minimum academic grade required to enroll in the Special Topics in SPSS course. However, learners are expected to have prior knowledge of basic and intermediate SPSS functions, statistical concepts, and data analysis techniques. Completion of Foundation, Certificate, or Diploma-level SPSS training (or equivalent practical experience) is highly recommended.
Mode of Delivery
The Special Topics in SPSS course is delivered through home/office-based self-instructional and advanced e-learning methods.
Learners receive full access to the e-learning platform, statistical practice materials, peer discussion forums, and continuous tutor support throughout the course duration.
Career Opportunities
- Data Analyst
- Research Analyst
- Monitoring and Evaluation (M&E) Officer
- Biostatistics Assistant
- Market Research Analyst
- Policy Research Assistant
- Social Science Researcher
- Academic Research Consultant
- Health Data Analyst
- Business Intelligence Analyst
- Statistical Consultant
- Project Impact Evaluation Officer
Program Goals
- Strengthen advanced statistical analysis capabilities using SPSS.
- Develop competence in multivariate and predictive modeling techniques.
- Enhance skills in advanced data cleaning, transformation, and coding.
- Improve interpretation and reporting of complex statistical results.
- Build confidence in conducting independent research and consultancy projects.
- Promote ethical data handling and research integrity.
- Equip learners with analytical skills aligned with industry and academic standards.
- Prepare participants for high-level research and data analysis roles.
Reasons to Study Special Topics in SPSS
- Gain advanced analytical skills beyond basic statistical techniques.
- Enhance your research and data interpretation expertise.
- Increase employability in research, business analytics, and evaluation roles.
- Build confidence in handling complex datasets and models.
- Strengthen academic research capabilities (thesis and dissertation support).
- Improve evidence-based decision-making skills.
- Stay competitive in the growing field of data analytics.
- Develop practical skills applicable across industries.
- Learn flexibly at your own pace through online study.
- Future-proof your career with advanced statistical expertise.
What we Offer
Finstock Evarsity College offers a wide range of courses geared towards job creation, research excellence, and professional development. Our programs include online college-based courses, diploma 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 Special Topics in SPSS courses. Learn advanced statistical techniques, interact with expert tutors, and gain practical analytical skills applicable across industries. Join Finstock Evarsity College for a flexible and career-enhancing learning experience.
Tags
Special Topics in SPSS, Advanced SPSS course in Kenya, Finstock Evarsity College, Online SPSS courses, Accredited online courses, Online course with downloadable certificates, Research methods courses, Data analysis courses in Kenya, SPSS advanced training, Marketable online courses, Affordable online courses, Statistical analysis course Kenya, Free online data analysis courses in Kenya, Diploma and Certificate courses, Monitoring and Evaluation courses Kenya
Course Instructor(s) for Special Topics In SPSS
GIFT KITHOME KALENGA
Examining Body for Special Topics In SPSS
FINSTOCK EVARSITY COLLEGE
FAQs for Special Topics In SPSS
Q1. How many intakes are there?
There are three intakes in a year as follows:
|
Cohort |
Name |
Term Period |
Months |
Registration Window |
|
January Intake |
Trimester 1 |
Jan 1 — Apr 30 |
4 |
Anytime |
|
May Intake |
Trimester 2 |
May 1 — Aug 31 |
4 |
Anytime |
|
September Intake |
Trimester 3 |
Sep 1 — Dec 31 |
4 |
Anytime |
Q2. In how many installments can I pay the fees?
Payments can be done in 3 installments as specified in the fee structure.
Q3. When can I sit for the exams?
- Internal exams are activated for students individually.
- External exams (where applicable) are booked one month after you complete the course.
Refer to the external examining body for more details and requirements before seating for their exams.
Q4: Is this college accredited/approved?
Yes. The college is approved under the ministry of education, through TVETA, and also through National Industrial Training Authority (NITA).
Course Reviews for Special Topics In SPSS
Top Rated Reviews
NELSON NYAKWANYA ONKUNDI from Kenya
0 0
After going through the Intermediate SPSS course, I can confidently say it’s designed for those who already know the basics and want to learn more advanced techniques. The lessons cover important topics such as hypothesis testing, regression analysis, and ANOVA. This course is ideal for researchers or students looking to use SPSS for more sophisticated data analysis. I definitely recommend it.
GODANA MAMO BARAKO from Kenya
0 0
I’ve just completed the Intermediate SPSS course at Finstock Evarsity, and it’s been a real game-changer for me. The course goes deeper into data manipulation, cross-tabulations, and more complex statistical techniques like chi-square and correlation. It’s practical and builds directly on the basics learned in the introductory course. I would highly recommend it for anyone who wants to take their SPSS skills to the next level.
