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 20,000.00 ($ 200.00) |
| Fees Totals | KES 21,000.00 ($ 210.00) |
| * 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 21,000.00 ($ 210.00) |
| Total | KES 21,000.00 ($ 210.00) |
NB: Fees are payable in 3 installments as detailed below:
The trimester fees of KES 21,000.00 ($ 210.00) is payable in 3 installments of KES 7,000.00 ($ 70.00)
Course Requirements
All Fees are payable in installements, for details check FAQs
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
R software training
| Unit ID | Unit Name |
|---|---|
| RCOD | R Software Training |
Course Description
R Software Training (RCOD)
The R Software Training (RCOD) is a big data analytical comprehensive training. The R Software Training course duration is 1 month. The examining body is Finstock Evarsity College. A certificate of completion is issued upon completion of the course.
The R Software Training Course entails learnings learn how to program in R and how to use R in data analysis. Further, The R Software Training Course will help you to learn how to install and configure the R software which is necessary for statistical programming. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting on R code. Topics in statistical data analysis will provide working examples.
The R Software Training Course is designed to equip one with useful knowledge on using data to conduct data analysis. which means that you will enhance a hobby or a career path, the course will guide you through all the essential steps to adequately learn the R software as well as deal with data analysis effectively using the skills earned from studying the R Software Course. The
Entry Requirement to Study For R Software Training Course.
To enroll and study the R Software 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.
R Software Training (RCOD) Course is designed for:
- Students and Educators
- Data Miners and Analysts
- Business professionals, Statisticians, and researchers
- Programmers
- Engineers and managers
- Scientists
Why Study R Software Training (RCOD)
- The course is taught by seasoned R Software trainers with vast experience in R Software programming. The trainers will take you through the techniques required to use R in a more simplified, personalized, and professional way.
- You are guaranteed that by the end of the course you will gain newfound confidence using R for Statistics and data analysis. This is because the focused training will go above and beyond to ensure you are well equipped with the required skills to use the program efficiently by showing you step by step how to use the many advanced features of R software.
- The R Software Training (RCOD) complements the Advance Excel Skills by helping you conduct more advanced data analysis, data manipulation, statistical computing, and statistical analysis.
- By the end of the course, you will be able to excellently set up R and operate the R studio development environment, import and export data, utilize the program’s add-in packages, process and manipulate data for a specific use, create statistical summaries and visualization, learn the main R data structures.
- Through tailored tips, a series of concepts, practical examples, problem exercises, and challenging learning materials, you will learn to find and solve fundamental error types.
- Upon completion, R certification will prove that you have a valuable, career-leading skill in R software programming.
To gain these skills, apply for the R Software Training Course. Get your journey started by enrolling at Finstock Evarsity college and learning more. To register for the Advanced Excel Training (Excel), click on this link https://finstockevarsity.com/cmis/portal/register/rcod/
Tags
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Course Instructor(s)
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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