Introduction To SPSS

Introduction To SPSS (BSPSS) is offered as a CERTIFICATE course examined by FINSTOCK EVARSITY COLLEGE. A certificate of completion is issues upon completion of this course. For more information about this course, use the tabs below to navigate.

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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 7,500.00 ($ 75.00)
Fees Totals KES 8,500.00 ($ 85.00)
* 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 8,500.00 ($ 85.00)
TotalKES 8,500.00 ($ 85.00)

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

The trimester fees of KES 8,500.00 ($ 85.00) is payable in 3 installments of KES 2,833.33 ($ 28.33)

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

1. Data Entry

2. Descriptive statistics

3. Test for normality

4. Regression and correlation


Unit IDUnit Name
BSPSS001Introduction To SPSS

Course Description

The introduction to SPSS (BSPSS) course is a big data analytical beginner training level. The introduction to SPSS course duration is 1 month. The examining body is Finstock Evarsity College. A certificate of completion is issued upon completion of the course. The introduction to SPSS course is designed for learners with little or no experience with SPSS. Therefore, the aim of this course is to equip one with background knowledge on data analysis and how to use the SPSS as well as setting up the program.

Introduction to SPSS Program Goals

  1. The introductory SPSS training covers basic statistics and common statistic tests, inputting data into SPSS.
  2. You will also learn how to create variables and enter them into the SPSS Software.
  3. You will learn how to perform statistical analysis using SPSS such as making graphs, box plots, and leaf plots, calculating measures of central tendency, and calculating correlation.
  4. Learn how to modify data files, add data variables, and sorting variables.
  5. You will also increase your skills in quantitative methods which will make you more marketable in jobs relating to SPSS.
  6. Learn how to do hypothesis testing

 

Entry Requirement to Study For R Software Training Course.

To enroll and study the QuickBooks 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

Introduction to SPSS (BSPSS) Course is designed for:

  1. Students and Educators
  2. Statisticians and researchers
  3. Lifelong learners of SPSS seeking to gain an in-depth knowledge of Data Analysis in SPSS.
  4. Engineers, managers and Scientists

Why Study Introduction to SPSS at https://finstockevarsity.com/

  1. The course is taught by seasoned professional with vast experience in SPSS. The trainers will deliver and explain introductory SPSS’ more simplified, engaging, personalized and professional way using simple English to make sure you make the most of this course.
  2. You are guarantee that by the end of the course you will gain a newfound confidence on getting SPSS software, setting up SPSS, importing Excel data into SPSS, exporting SPSS output into MS Word and using SPSS for introductory Statistics.
  3. The course material and timeline is structured to optimize the learning curve and ensure you learn at comfortable pace as you as you move to more advanced levels of SPSS.
  4. By the end of the course, you will learn about the SPSS workspace, and how to enter, sort, and edit data in SPSS. In addition, you will learn how to navigate between Data View and Variable View, how to create variables, and how to modify the properties of variables. Moreover, you will eventually learn to conduct simple statistical tests using SPSS.
  5. Upon completion, SPSS certification will prove that you have a valuable, career-leading skill in SPSS.

 

To gain these skills, apply for the Introduction to SPSS Course. Get your journey started by enrolling at Finstock Evarsity college and learning more.

Tags

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Course Instructor(s)

GIFT KITHOME KALENGA GIFT KITHOME KALENGA
JANE MUTURI JANE MUTURI
RAPHAEL MUTUMA KIRUGI RAPHAEL MUTUMA KIRUGI

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?

  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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