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.
PROFICIENCY IN DATA ANALYSIS, VISUALISATION & MANAGEMENT
Course Details
Background
Rationale
Code
Course CodeFees
K3,000 per personLocation
OnlineContact
Mr. Kelly Chungu: 0970349607/ 0968469153Dates
10th June,2022 - 24th June,2022Aim
Objectives
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
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 ½ûÂþÌìÌà Certificate of Proficiency in Data Analysis, Visualisation and ManagementÌý
Course Content
MS EXCEL |
SPSS |
Data Management and Communication |
·Ìý Ìý ÌýUnderstanding & Developing data analysis tools ·Ìý Ìý Introduction to MS Excel ·ÌýÌýÌýÌýÌýÌýÌýÌý Inbuilt functions & Data Structure ·ÌýÌýÌýÌýÌýÌýÌýÌý Tabular and graphical representation of data ·ÌýÌýÌýÌýÌýÌýÌýÌý Numerical Descriptors ·ÌýÌýÌýÌýÌýÌýÌýÌý Normality of data ·ÌýÌýÌýÌýÌýÌýÌýÌý Statistical tests (t, F and Z) ·ÌýÌýÌýÌýÌýÌýÌýÌý ANOVA ·ÌýÌýÌýÌýÌýÌýÌýÌý Bivariate data analysis ·ÌýÌýÌýÌýÌýÌýÌýÌý Goodness of fit-test ·ÌýÌýÌýÌýÌýÌýÌýÌý Simulation random ·ÌýÌýÌýÌýÌýÌýÌýÌý Sample Introduction to PCA |
·Ìý Introduction to SPSS ·ÌýÌýÌýÌýÌýÌýÌýÌý Managing data and files ·ÌýÌýÌýÌýÌýÌýÌýÌý Transferring Data and Files ·ÌýÌýÌýÌýÌýÌýÌýÌý Tabular & graphical representation of data ·ÌýÌýÌýÌýÌýÌýÌýÌý Numerical Descriptors ·ÌýÌýÌýÌýÌýÌýÌýÌý Normality of data ·ÌýÌýÌýÌýÌýÌýÌýÌý Statistical tests ·ÌýÌýÌýÌýÌýÌýÌýÌý ANOVA ·ÌýÌýÌýÌýÌýÌýÌýÌý Bivariate data analysis ·ÌýÌýÌýÌýÌýÌýÌýÌý Goodness of fit-test ·ÌýÌýÌýÌýÌýÌýÌýÌý ÌýIntroduction to PCA |
Ìý ·ÌýÌýÌýÌýÌýÌýÌýÌý Importance of visualisation ·ÌýÌýÌýÌýÌýÌýÌýÌý Techniques of verbal & written communication ·ÌýÌýÌýÌýÌýÌýÌýÌý Body language communication ·ÌýÌýÌýÌýÌýÌýÌýÌý 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
- Interactive virtual lecture sessions using Zoom/ Google Meet
Timing and schedules
Time: 18:30 to 19:30 Monday to Friday
Assessment Method
- Virtual situational tests
Certifications
½ûÂþÌìÌà certificate of proficiency in Data Analysis, Visualisation and Management