Entry Requirements
Duration: 1 Months
Delivery Method: Online
Fee Structure
| 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 5,000.00 ($ 50.00) |
| Fees Totals | KES 6,000.00 ($ 60.00) |
| * 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 6,000.00 ($ 60.00) |
| Total | KES 6,000.00 ($ 60.00) |
NB: Fees are payable in 3 installments as detailed below:
The trimester fees of KES 6,000.00 ($ 60.00) is payable in 3 installments of KES 2,000.00 ($ 20.00)
Course Requirements
Practical Requirements (where applicable)
For courses that require practicals, a separate fee is chargable (not included in fee structure above) as follows:
- Short courses - KES 5,000
- Certificate courses - KES 7,500
- Diploma courses - KES 10,000
Course Units/Overview
| Unit ID | Unit Name |
|---|---|
| IBDA01 | Introduction To Big Data Analytics |
Course Description
The Certificate in Introduction to Big Data Analytics offered at Finstock Evarsity College is a 1-month online program examined by Finstock Evarsity College. A certificate of completion is issued upon completion of the course.
The Certificate in Introduction to Big Data Analytics Course aims in equipping you with a foundational understanding of the theory and applications of big data and a demonstration on the process from data to decisions. You will learn big data in various formats, data processing platforms and data analytics tools to transform, visualise, model, and communicate the insights hidden in the data.
Entry Requirement to Study the Introduction to Big Data Analytics
To enroll and study the Introduction to Big Data Analytics Training Course, a student should have a minimum of D Minus (D-) in their KCSE exams.
Mode of Delivery
The mode of delivery is Online Learning which means that one can study from home and/or the office. Our Program employs a variety of self-instructional electronic and online self-study materials, such as; written self-instructional study modules, online interactive devices, and self-tests, cloud-based content, videos of lectures mediated technical learning materials e.g., audio-visual and e-learning materials.
Introduction to Big Data Analytics course is designed for:
- Students and Educators
- Target project officials and staff working at developing projects in an organisation.
- Business professionals.
- Statisticians and researchers
- Engineers, managers and Scientists
- The course will draw on the skills and experience of the seasoned professional, who have vast experience and are experts in big data analytics.
- The course teaching mode is done in a more simplified, engaging, personalized and professional way using simple English to make sure you make the most of this course.
- Most teaching is hands-on using real-life big data applications and workflows to illustrate the development, deployment and execution of emerging big data solutions. These exercises are supplemented by short lectures and a very comprehensive set of notes.
- Additionally, the course is filled with examples, projects, case studies, real-life problems, step-by-step instructions and screen-shot images. However, none require any specialist knowledge of the field.
- By the end of the course, you should be conversant with the terminology and the core concepts behind big data problems, applications, and systems. You should be able to describe and identify big data landscapes and cases, real world examples of big data problems, and key sources of big data including people, organisations and sensors. Moreover, you should be able to work with large data sets, big data strategies and big data technologies.
- Upon completion, introduction to big data analytics will prove that you have a valuable, career-leading skill in data analytics. The certification will expand your career opportunities in analytical field.
To gain these skills, apply for the Introduction to Big Data Analytics Training Course. Get your journey started by enrolling at Finstock Evarsity College and learning more. To register for the Introduction to Big Data Analytics Training, click on this link https://finstockevarsity.com/cmis/portal/register/ibda01/
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Course Instructor(s)
TBA
Examining Body
FINSTOCK EVARSITY COLLEGE
FAQs
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).
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