Entry Requirements for Introduction To Big Data Analytics
Basics Computer Literacy
Duration: 1 Months
Delivery Method: Online
Fee Structure for Introduction To 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 14,000.00 ($ 140.00) |
| Fees Totals | KES 15,000.00 ($ 150.00) |
| * 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 15,000.00 ($ 150.00) |
| Total | KES 15,000.00 ($ 150.00) |
NB: Fees are payable in 3 installments as detailed below:
The trimester fees of KES 15,000.00 ($ 150.00) is payable in 3 installments of KES 5,000.00 ($ 50.00)
Course Requirements for Introduction To 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 Introduction To Big Data Analytics (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 Introduction To Big Data Analytics
| Unit ID | Unit Name |
|---|---|
| IBDA01 | Introduction To Big Data Analytics |
Course Description for Introduction To Big Data Analytics
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,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.
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) for Introduction To Big Data Analytics
SEIF MAHMOUD KARANI
Examining Body for Introduction To Big Data Analytics
FINSTOCK EVARSITY COLLEGE
FAQs for Introduction To Big Data Analytics
-
What is Introduction To Big Data Analytics?
Introduction To Big Data Analytics is a certificate course that introduces learners to big data, data processing platforms, analytics tools, data visualisation and the use of data to generate useful insights. -
What are the entry requirements for Introduction To Big Data Analytics?
Introduction To Big Data Analytics requires basic computer literacy. Learners do not need specialist knowledge of big data before starting Introduction To Big Data Analytics. -
How long does Introduction To Big Data Analytics take?
Introduction To Big Data Analytics takes 1 month to complete, according to the official Finstock Evarsity College course page. -
Is Introduction To Big Data Analytics offered online?
Yes. Introduction To Big Data Analytics is offered online, allowing learners to access learning materials and study remotely. -
What practical skills will I gain from Introduction To Big Data Analytics?
Introduction To Big Data Analytics helps learners develop practical skills in handling large datasets, understanding big data technologies, analysing data, transforming data and creating data visualisations. -
What careers can I pursue after completing Introduction To Big Data Analytics?
Introduction To Big Data Analytics can support career development in data analysis and other data-related fields. Introduction To Big Data Analytics is also suitable for students, researchers, statisticians, business professionals, engineers and managers interested in working with data. -
What certificate will I receive after Introduction To Big Data Analytics?
Learners who successfully complete Introduction To Big Data Analytics receive a certificate of completion from Finstock Evarsity College. -
How much does Introduction To Big Data Analytics cost?
The listed fee for Introduction To Big Data Analytics is KES 15,000, comprising a KES 1,000 registration fee and KES 14,000 tuition fee. -
Are flexible payment options available for Introduction To Big Data Analytics?
Yes. Introduction To Big Data Analytics can be paid for in three instalments of KES 5,000 each, making it easier for learners to manage the course fees. -
Why choose Finstock Evarsity College for Introduction To Big Data Analytics?
Finstock Evarsity College offers Introduction To Big Data Analytics with practical examples, projects and real-life case studies. Introduction To Big Data Analytics also provides learners with a structured way to build foundational knowledge and practical skills in big data analytics.
Course Reviews for Introduction To Big Data Analytics
Top Rated Reviews
LEAH CHEPLETING BOIT from Kenya
0 0
I'm impressed by how this course demystifies big data technologies. From Hadoop basics to data mining techniques, everything is explained clearly with practical examples. The flexible learning schedule allows me to balance my studies with work, and the course materials are comprehensive and easy to follow.
JECINTA MUTHEU MUMO from Kenya
0 0
The Introduction to Big Data Analytics course is exactly what I needed to enter the data science field. It covers data processing frameworks, visualization techniques, and analytical tools in a structured way. The real-world case studies make complex concepts relatable, and I'm already applying these skills to my current role.
