Duration: 7 days

Start Date: 16th April, 2018

End Date:  24th April, 2018

Time: 9:00 – 3:00pm



At the end of the course, students should be able to:

  1. Distinguish between qualitative and quantitative data analysis and procedures
  2. Conceptualize, state, test hypotheses and explain the conclusions
  3. Distinguish between parametric and non-parametric analysis
  4. Select appropriate statistical techniques for data analysis
  5. Produce professional quality reports



Main Application software will be SPSS, and Excel

  1. Data Analysis in the Research Process
    • Types of Qualitative Data
    • Transcription and analysis (summarizing, categorization and thematization; interpretation; constant comparative causal pathways, cross-site analysis, inductive analysis, concept mapping etc.)
    • Presentation (text, matrices, charts, pictures, tables, sound)
    • Quantitative Data management
  2. Scale of measurement – measure of central tendency
    • Introduction to SPSS: File creation, Dialogue boxes, Definition of variables and management, Missing Values, Data entry, Saving and retrieving data, backing up files
    • Data screening and cleaning, Reliability, Overview of Open-ended items & Coding Manual,
  3. SPSS: Coding and recording, Transformation – computation, merging files (cases or variables). Selecting cases – Conditions; Combining Logical Relationships, versions of files
  4. SPSS: Data processing and analysis
    • Linkage to objectives, All instruments, Data summary,
    • Exploration, Stem and leaf, Frequencies, Pivot table editing,
    • Descriptives, Standardization, Percentiles and Quartiles
  5. SPSS: Inferential statistics
    • Exploring relationships (correlation (Pearson and Spearman), regression, cross-tabs, chi-square – phi, Cramer’s V), Mann-Whitney U Test, Wilcoxon Signed Rank Test, Kruskal-Wallis Test
    • Comparison between means – Paired, Independent samples, One sample – T, Z, etc tests, ANOVA (1,2 way), Effect size
  6. Excel:
    • MegaStats tools
    • Mathematical operations, Data transformation, Analysis tools, Insert functions, Descriptives, Skewness, Kurtosis, Percentiles & Quartiles, Standardization, Fractions, sumproduct
    • Histogram, Other graphs (bar, pie, line, S&D, Lorenz)
    • Inferential statistics – Sampling, T-test, Z-test, F-test, ANOVA (1,2 way), Difference between proportions
    • Pivot table and chart report – One Variable, two variable tally, Grouping categories in charts
    • Excel Logical Functions


Through demonstrations



Course Overview

It is a programme that provides the globally accepted standard of achievement among information systems (IS) Audit, Control and Security Professionals. The programme provides assurance that staff has necessary knowledge, skills and experience in key areas such as information security, risk management, audit and governance. Earning the CISA designation distinguishes individuals as qualified IS audit, control and security professional.


  • The process of Auditing Information Systems
  • Governance and Management of IT
  • Information Systems Acquisition, Development and Implementation of Information Systems Operations, Maintenance and Support protection of Information Assets.
  • Information Systems Operations, Maintenance and Support
  • Protection of Information Assets

Target Audience

The programme represents an excellent training opportunity for staffs in Information Technology departments, Accountants, Financial Managers and Internal Auditor.


Course Overview

LTE as an emerging technology is fast gaining ground as one of the most viable and reliable means of data transfer and transmission. In line with this, demand is rising to acquire knowledge on how the technology works. The training will take a look at an overview of the key technology & business drivers, including: Higher Spectral Efficiency, all‐IP network, Self Organizing Network (SON), Multiple‐Input Multiple‐Output (MIMO), High Spectrum Flexibility and Scalability, Higher Peak Data Rates, Lower Latency, Network Sharing, Lower Costs per Bits, Improved User Quality of Experience, and Monetizing the Network. Principles, Motivations, And Key Requirements for LTE; overview of LTE Releases 10, 11, 12 and 13

Course Objectives

Participants to the LTE Workshop will get an understanding of the benefits and challenges offered by LTE so that they will be in the position to:

  • Describe the features and benefits of LTE;
  • Understand the LTE network components and functions
  • Understand LTE Air Interface Methods
  • Determine the available LTE options in terms of spectrum, equipment availability, timeline, evolution from 3G
  • Understand the current state of the LTE ecosystem and service offerings
  • Optimize their LTE strategy, based on LTE current & future capabilities
  • Understand all areas of their business that will be affected by LTE and
  • Initiate an educated dialog with equipment vendors and service providers

Target Audience

ICT Consultants and Analysts, ICT Regulators and Policy Makers, Equipment Vendors, Senior and Middle Level Business and Technical Managers Working For Mobile Operators and Other ICT Service Providers and Internet Service Providers.