Introducing
DATA ANALYSIS & INTERPRETATION

Data analysis skills are often a rare skill among researchers and students. The majority usually hire a statistician to perform data analysis and remain ignorant to the concepts of data analysis. However, data analysis and interpretation is a valuable skill for researchers and statisticians especially those whose work relating to data analysis is ongoing.

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Data Analysis & Interpretation

Course Details

Background

This course is designed to provide the researcher with data analysis and interpretation skills to enable the researcher or statistician utilize and communicate data in a meaningful way.

Rationale

Data analysis skills are often a rare skill among researchers and students. The majority usually hire a statistician to perform data analysis and remain ignorant to the concepts of data analysis. However, data analysis and interpretation is a valuable skill for researchers and statisticians especially those whose work relating to data analysis is ongoing.

1

Code

DMI
2

Fees

K3, 000 per person
3

Location

Online
4

Contact

SPSS/GraphPad Prism option: Dr. Sepiso K Masenga, BSc, MSC, CT, PhD STATA option: Mr. BM Hamooya, BSc, MSC, CT, PhD candidate
5

Dates

Commencement date: 1st February, 2021

Aim

To provide skills and competencies for leaners to be able to code, clean, analyse and interpret data using STATA or SPSS or GraphPad prism

Objectives

At the end of the program Learners should be able to:

  1. Prepare raw data for analysis
  2. Understand types of Data and designs
  3. Perform descriptive statistics
  4. Know how to perform and interpret statistical tests such as Chi-square, student’s t-test, Wilcoxon rank-sum test, correlation and regression analysis, multiple comparison and analysis of variance etc
  5. Perform post-hoc analysis and receiver operator curves
  6. Use either SPSS or STATA or GraphPad prism

Competencies

At the end of this course, learners will be able to do the following:

  1. Data analysis and interpretation
  2. SPSS or STATA or Graphpad prism
  3. Diagnostic tests

Entry requirements

It is encouraged that the candidate must possess a minimum of a degree in any health-related course or be a student or learner at diploma or degree level working on a research project or planning to design a research protocol or analyze data in future.

Expected prior knowledge

Must have conducted or participated in research project before or have some basic knowledge of research activities and what is involved. Beginners are encouraged to take RPD and EDM prior to this course.

COURSE DELIVERY.

Intensive 2 weeks of didactic lectures, hands-on practical and tutorials sessions

QUALIFICATION

Upon successful completion the candidates will be awarded a certificate in Data Analysis & Interpretation. This qualification will only apply to a student who passes the final exam.

Course Content

  1. Introduction to types of Data
  2. Descriptive statistics
  3. Normality tests
  4. Hypothesis testing
  5. Parametric tests
  6. Non-parametric tests
  7. Diagnostic tests
  8. Post hoc tests
  9. Other analysis
  10. Overview of statistical package software

Lesson Schedule

Day

Lesson/activity

Responsible/Lecturer

Day 1

1. Introduction to types of Data

2. Descriptive statistics

Mr BM Hamooya

Dr SK Masenga

Day 2

3. Machine learning   

Mr BM Hamooya

Day 3

4.  Normality tests

5. Hypothesis testing

Dr SK Masenga

Mr BM Hamooya

Day 4

6.  Parametric tests I

Dr SK Masenga

Day 5

7.  Parametric tests II

Mr BM Hamooya

Day 6

8.  Non-parametric tests

Dr SK Masenga

Day 7

9. Diagnostic tests

Mr BM Hamooya

Day 8

10. Post hoc tests & Other analysis

Dr SK Masenga

Day 9

11. Overview of statistical package softwares

Dr SK Masenga

Day 10

Exam, Assignments due and Quizzes

Mr BM Hamooya

note

project due 7 days after completion (day 10)

 

Teaching Methods

Lectures

Hands-on Tutorials

Assignments

Timing and schedules

Monday to Friday

Note: select one option and statistical package (STATA or SPSS/GraphPad Prism) when applying

  • Option A: 06:00 – 08:00
  • Option B: 10:00 – 12:00
  • Option C: 12:00 – 14:00
  • Option D: 16:00 – 18:00
  • Option E: 18:00 – 20:00

Assessment Method

• Assignment 20%

• Quizzes 20%

• Final Project 60%

Certifications

Mulungushi University certificate will be provided

Connect with us

26 km from Kabwe Town along Great North Rd, Kabwe, Central Province, Zambia

  • dummy+(260) 215 228 004

  • dummy academic@mu.ac.zm

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