This module introduces the foundational principles of data analysis. Learners will explore the meaning of data analysis and understand different data types. Topics include probability, data distributions, hypothesis development, and testing differences between categorical and numerical variables. It provides the essential theoretical base for interpreting data in any analytical context.

Lessons

• Introduction to Data Analysis
• Starting Your Data Analyst Journey
• Exploring Data
• Probability
• Distributing Data
• Confidence in Your Sample
• Hypothesising About the Outcome
• Testing for Differences – Categorical Variables
• Testing for Differences – Numerical Variables

✅ Expected Outcomes

• Understand fundamental statistical principles in data analysis
• Gain skills in exploring and summarizing datasets
• Apply hypothesis testing techniques
• Distinguish and analyze categorical and numerical variables appropriately

This module focuses on the practical and technological side of data analysis. It introduces R programming as a key tool for data handling. Learners will work on data cleaning, transformations, and time-based data. The module also explores linear regression and multivariable analysis to enable learners to build predictive models and analyze complex relationships.

Lessons

• Introduction to R
• Reviewing the Journey
• Joining and Cleaning Datasets
• Data Transformations
• Dates and Times
• Linear Regression
• Advanced Linear Regression
• Multiple Linear Regression & Tying It All Together

✅ Expected Outcomes

• Use advanced analysis tools such as R programming
• Clean and structure datasets for optimal analysis
• Apply statistical models to uncover variable relationships
• Build multivariable models and make data-driven decisions

Students receive an accredited certificate issued by Cambridge British College.

Yes, all certificates issued by the college are accredited by the relevant official authorities.

Yes, after completing the course, you may contact the Admissions and Registration Department to obtain an electronic copy.

You can register online through the website by visiting the Admissions and Registration page and completing the payment electronically.

Applicants must be at least 16 years old or hold a secondary school certificate (or equivalent) for certain programmes.

Yes, you may enrol in multiple courses simultaneously.

All courses are offered online.

The duration varies depending on the programme and generally ranges from one to six months.

Yes, assessment is based on participation, assignments, and final examinations depending on the nature of the course.

Yes, you can retake the course in the next session at a reduced re-enrolment fee.

Fees vary according to the course and number of study hours. Full details are available on each course page.

Payments can be made online via the college’s secure electronic payment link.

Yes, instalment plans are available for selected courses under specific conditions.

No, course fees are non-refundable according to the college’s refund policy.

You can reach us via the official email address or by phone.

Yes, a dedicated technical support team is available to assist with any platform-related issues.

You can schedule an appointment with an academic adviser by contacting the guidance team.

Some courses include practical training or partnerships with employers to provide internship and job opportunities.