A spreadsheet full of numbers tells you nothing until someone knows how to ask it the right questions. That is the skill gap this course closes: turning raw quantitative data – survey responses, sales figures, usage statistics – into findings a business can actually act on.

Participants move through the full lifecycle of quantitative data: collecting it properly, cleaning up the inevitable mess, running the statistical analysis that matters, and presenting results in a way that non-technical decision-makers can follow. Along the way, the course covers the leading software tools used for analysis and visualisation, so participants leave with skills they can apply immediately in their own work.

This course from the Arab British Fellowship Training Academy suits anyone who needs numbers to support a decision, not just describe a dataset.

Target Group:

• Data analysts and aspiring data scientists building foundational skills.
• Business professionals who need to interpret data for decision-making.
• Researchers and academics working on quantitative studies.
• Students in fields that require quantitative analysis skills.
• Anyone building their skills in data collection, cleaning, and statistical analysis.

Course Objectives:

• Understand what quantitative data is and why it matters in research and business.
• Master data preparation: collection, organisation, and cleansing.
• Apply the statistical tools and techniques most useful for quantitative analysis.
• Interpret and present findings in a way that supports informed decisions.
• Build data visualisations that communicate results clearly.
• Apply quantitative methods to real scenarios while keeping accuracy and reliability front of mind.

Module 1: From Raw Numbers to a Usable Dataset

• Types of quantitative data and where they come from – primary versus secondary sources.
• Sampling methods, survey design, and collecting data properly from the start.

Module 2: Cleaning and Preparing Data for Analysis

• Data entry, formatting, and organising raw data.
• Identifying and handling missing values, outliers, and inconsistencies.

Module 3: Core Statistical Analysis

• Descriptive statistics: mean, median, mode, and standard deviation.
• Inferential statistics, hypothesis testing, and exploratory data analysis to uncover patterns.

Module 4: Seeing and Explaining the Data

• Visual techniques such as histograms, scatter plots, and box plots.
• Tools for visualisation, including Excel, Tableau, and Power BI.
• Correlation, regression, and the basics of time series forecasting.

Module 5: From Analysis to Decision

• Turning analysis into actionable insights and presenting findings clearly.
• Ensuring validity, reliability, and reducing bias and error.
• Practical applications and case studies for hands-on practice.

Course Locations:
The courses are held in the following countries: Egypt, Jordan, Malaysia, Turkey, the UK, France, Italy, Germany, Sweden, Austria, Denmark, as well as Australia and the USA.
The courses are offered at times and locations suitable for your business and schedule.

Training Program Delivery Styles:

• Group Training at Academy Centers
• One-on-One Training
• Field and Practical Training with Modern Approaches
• Theoretical Training in Designated Academy Rooms

What Does the Participant Get from the Training Program?
Upon completion of the course, participants will receive a certificate accredited by the Arab British Fellowship Training Academy for attending the mentioned training program.

Note:
We can offer this course at a time and place suitable for you. This course is offered to high-level individuals with high standards. For more information, contact the Arab British Fellowship Training Academy team.