Entry Requirements for Advanced Big Data Analytics
Basics Computer Literacy
Duration: 1 Months
Delivery Method: Online
Fee Structure for Advanced Big Data Analytics
| 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 10,000.00 ($ 100.00) |
| Fees Totals | KES 11,000.00 ($ 110.00) |
| * 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 11,000.00 ($ 110.00) |
| Total | KES 11,000.00 ($ 110.00) |
NB: Fees are payable in 3 installments as detailed below:
The trimester fees of KES 11,000.00 ($ 110.00) is payable in 3 installments of KES 3,666.67 ($ 36.67)
Course Requirements for Advanced Big Data Analytics
- 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 Advanced Big Data Analytics (where applicable)
For courses that require practicals, a separate fee is chargable (not included in fee structure above) as follows:
- Short courses - KES 10,000 ($ 100)
- Certificate courses - KES 15,000 ($ 150)
- Diploma courses - KES 20,000 ($ 200)
NB: Above costs exclude accommodation costs and cost of living expenses while undertaking practicals or attachments.
Course Units/Overview for Advanced Big Data Analytics
| Unit ID | Unit Name |
|---|---|
| ABDA001 | Advanced Big Data Analytics |
Course Description for Advanced Big Data Analytics
The Certificate in Advanced 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.
This course aimed at providing you with advanced machine learning overview, data mining, statistical data analytics techniques and application. You will learn how to develop efficient and effective computational tools to analyse large amounts of data, reveal insights and make predictions. Overall, this course is an interdisciplinary field of machine learning, data mining, statistics and so on designed to achieve the data analysis goals mentioned above
Entry Requirement to Study the Advanced Big Data Analytics
To enroll and study the Advanced Big Data Analytics Training Course, one must have basic computer literacy
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.
Advanced Big Data Analytics (ABDA001) 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
Why Study Advanced Big Data Analytics at Finstock Evarsity College.
- 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, personalised 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, recent papers and discussions in this area, course projects and screen-shot images. However, none require any specialist knowledge of the field.
- By the end of the course, you will learn and practise advanced data analytic techniques, including: parallel algorithms, online algorithm, locality sensitive hashing, topic modelling, structure learning, and time-series analysis. One or more applications associated with each technique will also be discussed. Note the course is an advanced training that supplements the knowledge learned in Introduction to Big Data. Moreover, it covers various fast-changing Big Data analytics frameworks in detail, which provide important tools to carry out big data tasks.
- Upon completion, Advanced 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 the analytical field.
To gain these skills, apply for the Advanced Big Data Analytics Training Course. Get your journey started by enrolling at Finstock Evarsity college and learning more.
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Course Instructor(s) for Advanced Big Data Analytics
Examining Body for Advanced Big Data Analytics
FINSTOCK EVARSITY COLLEGE
FAQs for Advanced Big Data Analytics
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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