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Digital Transformation, AI & Technology

Data Analysis Fundamentals

A practical professional programme focused on data analysis fundamentals, designed to strengthen digital capability, technology adoption and data-informed performance.

Type
Professional
Level
Intermediate
Duration
5 days
Delivery
In person, Live online, In-house
Languages
English, Arabic

Data Analysis Fundamentals develops the practical capability to collect, organise, analyse and interpret data for professional and organisational decision-making.

The programme examines data types, data quality, descriptive statistics, spreadsheets, visualisation, trends, comparisons and evidence-based interpretation.

Participants learn how to move from raw data to clear findings and communicate analytical results accurately and effectively.

Objectives

  • Understand the foundations of data analysis.

  • Organise and prepare data for analysis.

  • Apply basic descriptive statistical techniques.

  • Create clear tables and visualisations.

  • Interpret and communicate analytical findings responsibly.

Learning outcomes

  • Identify different types of data and analytical questions.

  • Clean and structure data for analysis.

  • Calculate and interpret basic descriptive statistics.

  • Create appropriate charts and tables.

  • Present evidence-based findings clearly.

Who it is for

  • Business and administrative professionals.

  • Junior analysts.

  • Managers and supervisors.

  • Researchers and reporting professionals.

  • Professionals seeking practical data-analysis foundations.

Programme modules

1. Data Analysis Foundations
  • Data and information

  • Types of data

  • Analytical questions

  • Data-analysis workflow

2. Data Preparation and Quality
  • Data cleaning

  • Missing values

  • Duplicates

  • Data-quality checks

3. Descriptive Statistics
  • Mean, median and mode

  • Range and variability

  • Percentages

  • Frequency distributions

4. Spreadsheet Analysis
  • Formulas

  • Sorting and filtering

  • Pivot tables

  • Basic analytical functions

5. Data Visualisation
  • Chart selection

  • Tables

  • Trends

  • Avoiding misleading visuals

6. Interpretation and Reporting
  • Findings

  • Comparisons

  • Limitations

  • Analytical reporting

Methodology

The programme combines demonstrations, spreadsheet exercises, data-cleaning tasks, statistical practice and visualisation cases. Participants work with realistic datasets and progressively develop analytical confidence.

Assessment

Assessment includes practical data-analysis exercises and a final applied task requiring participants to analyse a defined dataset and prepare a clear evidence-based report.

Certificate

Certificate of Completion

For your organisation

This programme can be delivered for a single organisation, team or institution, and adapted to your context, participants and objectives.

Organisational delivery is scoped and priced individually, and is not booked from this page.

Discuss this programme

Upcoming sessions

No dates are scheduled at present.

Training & Professional Development

Structured professional learning that develops practical, role-relevant knowledge and capability.

Capacity Building & Institutional Development

Strengthening institutional systems, structures, people and organisational capability for sustainable performance.

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