Certificate In Data Science (CIDS)

Advance your skills with Certificate In Data Science (CIDS), a CERTIFICATE course assessed by FINSTOCK EVARSITY COLLEGE. Learners who successfully complete the course will be awarded a certificate of completion. Discover more about the course below.

Entry Requirements for Certificate In Data Science

D-

Duration: 8 Months

Delivery Method: Both Online & Physical

Fee Structure for Certificate In Data Science

Full Course Fees
Registration Fee KES 1,000.00 ($ 10.00)
Certification Fee KES 0.00 ($ 0.00)
Administration Fee KES 5,000.00 ($ 50.00)
Internal Exam Fee KES 10,000.00 ($ 100.00)
External Exam Fee KES 0.00 ($ 0.00)
Examining Body Membership Fee * KES 0.00 ($ 0.00)
Tuition Fee KES 48,000.00 ($ 480.00)
Fees Totals KES 64,000.00 ($ 640.00)
* 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 1KES 32,000.00 ($ 320.00)
Trimester 2KES 32,000.00 ($ 320.00)
TotalKES 64,000.00 ($ 640.00)

NB: Fees are payable in 3 installments as detailed below:

The trimester fees of KES 32,000.00 ($ 320.00) is payable in 3 installments of KES 10,666.67 ($ 106.67)

Course Requirements for Certificate In Data Science

  • 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 Certificate In Data Science (where applicable)

The cost of practicals, internships or industrial requirements is KES 10,000 ($ 100) per month (only applies to courses that require practical).

Course Units/Overview for Certificate In Data Science

Certificate in Data Science

SEMESTER 1

Module 1

  • Introduction to Data Science

  • Basic Mathematics and Statistics for Data Science

  • Data Collection and Data Sources

  • Data Cleaning and Preparation

  • Programming for Data Science

SEMESTER 2

Module II

  • Data Analysis and Exploration

  • Databases and Data Management

  • Introduction to Machine Learning

  • Data Visualization and Reporting

  • Ethics and Professional Practice in Data Science


Unit IDUnit Name
CIDS001Introduction To Data Science
CIDS002Basic Mathematics And Statistics For Data Science
CIDS003Data Collection And Data Sources
CIDS004Data Cleaning And Preparation
CIDS005Programming For Data Science
CIDS006Data Analysis And Exploration
CIDS007Databases And Data Management
CIDS008Introduction To Machine Learning
CIDS0009Data Visualization And Reporting
CIDS010Ethics And Professional Practice In Data Science

Course Description for Certificate In Data Science

Certificate in Data Science

COURSE OVERVIEW

The Certificate in Data Science at Finstock Evarsity College is a practical, career-focused program designed to equip learners with essential data analysis, data management, and analytical thinking skills required in today’s data-driven world. The course introduces learners to the fundamentals of data science, including data collection, data cleaning, analysis, visualization, and basic machine learning concepts using industry-relevant tools and techniques.

Through a hands-on, application-oriented approach, learners gain real-world experience working with datasets, performing data analysis, interpreting results, and presenting insights for decision-making. The program blends theoretical foundations with practical exercises, projects, and case studies to ensure learners can confidently apply data science concepts in real organizational and business contexts.

By completing this program, learners will develop in-demand analytical skills and be well-prepared for entry-level roles in data-related fields. The course enhances employability, strengthens problem-solving abilities, and provides a solid foundation for further studies and professional growth in data science, analytics, and artificial intelligence.

WHAT IS THE MINIMUM GRADE REQUIRED TO DO CERTIFICATE IN DATA SCIENCE?

There is no formal academic grade requirement for enrolling in the Certificate in Data Science course. Learners are expected to have basic computer literacy and a willingness to learn data analysis concepts. Prior exposure to mathematics, statistics, spreadsheets, or programming is an added advantage but not mandatory.

MODE OF DELIVERY

The Certificate in Data Science course is delivered through home/office-based self-instructional learning.

Learners receive full access to the e-learning platform, downloadable learning materials, interactive learner forums, hands-on datasets, and continuous tutor support throughout the course duration.

CAREER OPPORTUNITIES

  • Data Analyst (Entry Level)
  • Junior Data Scientist
  • Data Assistant
  • Business Intelligence Assistant
  • Research Assistant
  • Data Support Officer
  • Operations Data Analyst
  • Marketing Data Analyst
  • Statistical Assistant
  • Data Reporting Officer
  • Analytics Support Specialist
  • Information Management Officer

PROGRAM GOALS

  1. Introduce learners to fundamental concepts of data science and analytics.
  2. Develop practical skills in data collection, cleaning, and preparation.
  3. Build competency in data analysis and interpretation techniques.
  4. Enhance skills in data visualization and reporting.
  5. Foster basic understanding of statistics and data-driven decision-making.
  6. Introduce learners to foundational machine learning concepts.
  7. Promote ethical data handling and data privacy practices.
  8. Prepare learners for entry-level data roles and further studies in data science.

REASONS TO STUDY CERTIFICATE IN DATA SCIENCE

  • Gain practical, in-demand skills for the data-driven job market.
  • Build a strong foundation for careers in data science and analytics.
  • Learn how to analyze and interpret real-world data.
  • Increase employability across multiple industries.
  • Gain hands-on experience with data tools and datasets.
  • Develop problem-solving and critical thinking skills.
  • Learn data visualization techniques for effective communication.
  • Prepare for advanced studies in data science, AI, and machine learning.
  • Study flexibly at your own pace through online learning.
  • Enhance your professional profile with data analytics skills.
  • Future-proof your career with essential data competencies.

WHAT WE OFFER

Finstock Evarsity College offers a wide range of courses focused on job creation, employability, and career development. Our programs include online college-based courses, 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 Certificate in Data Science programs available. Learn from experienced instructors, collaborate with learners globally, and gain practical data skills relevant to modern organizations. Join Finstock Evarsity College for a flexible, engaging, and career-focused learning experience.

TAGS

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Course Instructor(s) for Certificate In Data Science

TBA

Examining Body for Certificate In Data Science

FINSTOCK EVARSITY COLLEGE

FAQs for Certificate In Data Science

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?

  1. Internal exams are activated for students individually.
  2. 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).


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