Cyber Security Online Certification

Introducing
PROFICIENCY IN DATA ANALYSIS, VISUALISATION & MANAGEMENT

Through Data Analysis, the participants will learn how to evaluate data using various analytical and statistical tools to discover useful information and how that can aid an organization, researcher or consultant in decision making, report writing and effective communication. 

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PROFICIENCY IN DATA ANALYSIS, VISUALISATION & MANAGEMENT

Course Details

Background

In today’s fast developing world, hands-on skills for the not—for- profit organisations, business researchers and corporate executives, university students and academics need not only to be top-notch, but also dynamic and well rounded. One such an area where many individuals find challenging to maneuver around pertains to data analysis; quantitative and qualitative, skills for data visualizations during presentations and creating meaningful inter In today’s fast developing world, hands-on skills for the not—for- profit organisations, business researchers and corporate executives, university students and academics need not only to be top-notch, but also dynamic and well rounded. One such an area where many individuals find challenging to maneuver around pertains to data analysis; quantitative and qualitative, skills for data visualizations during presentations and creating meaningful interpretations of findings to an audience with much ease. This short course is the answer to the above urgent industry need. Data analysis is an integral part of any scientific study that includes data organizations, data display through for instance graphs, model fittings and other computational components. Additionally, the other growing concern is also about how one can manage ‘thick data’ for those have passion for qualitative analyses. The visualization of the inherent characteristics of the raw data is also an important part of this short intensive course. The appropriate understanding of statistical methodologies and manipulation with easy-to-use software such as MS Excel & SPSS lead to an effective data analysis. Therefore, data visualization provides a powerful way to effectively communicate data-driven findings, motivate analyses, detect flaws and enhances one’s profession writing and argumentation prowess.  This course is definitely for those with interest in multiple techniques as regards research designs and data collection, data analyses, visualization, interpretation and effective communication of findings.

Rationale

1

Code

Course Code
2

Fees

K3,000 per person
3

Location

Online
4

Contact

Mr. Kelly Chungu: 0970349607/ 0968469153
5

Dates

3rd April,2022

Aim

• To equip participants with hands-on skills and competencies in usage of computer aided data analysis approaches, visualisation and data management in various domains such as academic research, consultancy and monitoring and evaluation purposes.

Objectives

At the end of the program Learners should be able to:
1. Understand and practice field research and its intricacies e.g. by doing a pilot test.
2. Appreciate the various research designs for business and social science related phenomena
3.Apply appropriate data collection techniques for enhanced quality data capturing and management
4.Understand and apply suitable data analyses tools such as MS Excel and SPSS in terms creation of data entry templates
5.Have hands-on data analyses procedures using various tools for various types of studies-quantitatively and qualitatively.
6.Know how data visualisation is best done and how to make cogent, coherent and clear arguments and interpretation
7.Know the language and art of effective presentation for professional and academic platforms.

Competencies

1.Ability to develop and synthesise data collection tools
2.Ability and technical-know how on managing data analysis software
3.Knowledge and skills on data entry, cleaning and analyses
4.Hands-on skills on how to interpret, export and use findings for reporting purposes
5.Skills on how to conduct findings presentations using visualisation techniques
6.Professional knowledge on effective business set up communication-verbal, written and body language techniques

Entry requirements

Diploma or degree holder in any business or social science field

Expected prior knowledge

Must be able to use a computer

COURSE DELIVERY.

Two weeks of intensive virtual lectures delivered through Zoom platform and Google Meet

QUALIFICATION

Candidates that will attend classes and pass assessments will be awarded a Mulungushi University Certificate of Proficiency in Data Analysis, Visualisation and Management 

Course Content

MS EXCEL

SPSS

Data Management and Communication

·     Understanding & Developing data analysis tools

·    Introduction to MS Excel

·         Inbuilt functions & Data Structure

·         Tabular and graphical representation of data

·         Numerical Descriptors

·         Normality of data

·         Statistical tests (t, F and Z)

·         ANOVA

·         Bivariate data analysis

·         Goodness of fit-test

·         Simulation random

·         Sample Introduction to PCA

·  Introduction to SPSS

·         Managing data and files

·         Transferring Data and Files

·         Tabular & graphical representation of data

·         Numerical Descriptors

·         Normality of data

·         Statistical tests

·         ANOVA

·         Bivariate data analysis

·         Goodness of fit-test

·          Introduction to PCA

 

·         Importance of visualisation

·         Techniques of verbal & written communication

·         Body language communication

·         Data management

Lesson Schedule

Day

Lesson/activity

Responsible/Lecturer

Day 1

Introduction to Data Collection Tools

Mr. C. Mayondi

Day 2

Features of data analysis tools with examples

Mr. C. Mayondi

Day 3

Introduction to MS Excel and Data Entry

Mr. D. Muchochoma

Day 4

Data analysis using Excel-Numerical descriptors

Mr. D. Muchochoma

Day 5

Data analysis using Excel-Bivariate and multivariate analysis

Mr. D. Muchochoma

Day 6

Introduction to SPSS and Data Entry

Mr. C. Mayondi

Day 7

Data cleaning and analysis techniques

Mr. C. Mayondi

Day 8

Bivariate and multivariate data analysis

Mr. D. Muchochoma

Day 9

Data Visualisation techniques

Mr.D. Muchochoma

Day 10

Data management and effective communication

Mr. C. Mayondi

Teaching Methods

  1. Interactive virtual lecture sessions using Zoom/ Google Meet

Timing and schedules

Time: 18:30 to 19:30 Monday to Friday

Assessment Method

  1. Virtual situational tests

Certifications

Mulungushi University certificate of proficiency in Data Analysis, Visualisation and Management

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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