Skip to content
QUALIFI Level 3 Diploma in Data Science cover image

QUALIFI Level 3 Diploma in Data Science
School of Business & Technology London

Online learning | Self Paced Course | Study Materials |Tutor Support | Flexible Payment Plan | All Inclusive Fees

Summary

Price
Save 59%
£793 inc VAT (was £1,980.01)
Offer ends 31 January 2026
Finance options

Pay for your course(s) with our flexible payment plan. Spread the cost by making monthly payments...

Study method
Online
Duration
12 months · Self-paced
Qualification
Level 3 Diploma
Regulated qualification What's this?
Certificates
  • Certificate of completion - Free
Additional info
  • Tutor is available to students

49 students enquired about this course

Add to basket or enquire

Overview

Learn the essentials of data science and analytics.

The QUALIFI Level 3 Diploma in Data Science, awarded by QUALIFI, is designed for individuals seeking to build a strong foundation in data analysis and practical application. This course is ideal for developing essential skills and understanding in key concepts in data science, and apply insights to solve real-world problems.

The course explores fundamental techniques in data collection, visualisation, and basic statistical analysis. You will develop knowledge of tools and frameworks used in data-driven decision-making, and gain confidence in interpreting and presenting data effectively. Key themes include data ethics, data quality, and the use of data to inform business and organisational decisions.

Completed in just 6 to 8 months, this flexible yet structured course is suitable for those looking to acquire recognised data science skills without compromising their schedule. This diploma will provide you a solid foundation to progress to higher-level study in data science or to enter roles in data analysis and related fields.

Why Choose SBTL?

  1. Flexible Study Options: Study online or through blended learning, anytime, anywhere — with seamless delivery via our cutting-edge MyLearnDirect platform.
  2. Dedicated and Expert Tutors: Get support and assistance from expert tutors at any time—without limits or delays.
  3. Comprehensive Learning Resources: Access expertly designed learning materials, study guides, and assessment guidelines that cover every module.
  4. Dedicated Support Desk: Submit inquiries, request support, ask for tutor assistance, or schedule a callback whenever you need help.
  5. Personal Tutor Meetings: Arrange one-on-one sessions with your tutor for tailored academic guidance and support.
  6. Schedule Live Classes: Book live online sessions for each module at your convenience and on your schedule (Blended Learning only).
  7. Proven Success Rates: Join thousands who've completed their courses with a 94% completion rate and 90% learner success rate.
  8. 250+ Career-Focused Courses: Choose from a wide-ranging course portfolio tailored to your career stage, industry demand, and future goals.
  9. Elevate Grade: Get detailed assessment feedback to enhance your understanding, improve performance, and boost your grades.
  10. Global Learning Access: Study from anywhere in the world with comprehensive learning support — learning without borders, on your schedule.
  11. Innovative and Structured Learning: Build real-world skills through high-quality, structured learning — designed to sharpen understanding, boost employability, and help you thrive in a fast-changing world.
  12. Trusted by Professionals: Our learners include professionals from top global companies — a testament to our quality, reliability, and impact.

What You Will Learn – Based on the modules you choose
You'll develop the capability to:

  • Collect, clean, and organise data for accurate analysis
  • Analyse data to uncover trends, patterns, and insights
  • Visualise and communicate data effectively to support decisions
  • Apply basic statistical methods to solve real-world problems
  • Understand data ethics and ensure responsible use of information

The QUALIFI Level 3 Diploma in Data Science provides a solid foundation for aspiring data professionals and analysts. With a focus on practical data skills, analytical thinking, and ethical data use, it equips you to interpret insights, support informed decision-making, and apply data-driven solutions in real-world contexts.

Qualification

Level 3 Diploma

Awarded by Qualifi Ltd
Regulated by Ofqual

Certificates

Certificate of completion

Digital certificate - Included

Description

If you’re ready to build a strong foundation in data-driven decision-making, the QUALIFI Level 3 Diploma in Data Science provides the essential skills to analyse, and apply data effectively. Designed for aspiring data professionals, this course equips you to uncover insights, communicate findings clearly, and support informed decisions in real-world contexts using data. You’ll develop practical expertise in visualisation, and basic statistical analysis, preparing you for further study or entry-level roles in data analysis and related fields.

Modules Covered

UNIT 1 – The Field of Data Science: Overview of data science, its applications, and key concepts.

UNIT 2 – Python for Data Science: Introduction to Python programming for data manipulation and analysis.

UNIT 3 – Creating and Interpreting Visualisations in Data Science: Basics of visualising data and interpreting insights.

UNIT 4 – Data and Descriptive Statistics in Data Science: Fundamental statistics for understanding and summarising data.

UNIT 5 – Fundamentals of Data Analytics: Core principles of analysing data to support decision-making.

UNIT 6 – Data Analysis with Python: Applying Python to explore and analyse datasets.

UNIT 7 – Machine Learning Methods and Models in Data Science: Introduction to key machine learning techniques.

UNIT 8 – The Machine Learning Process: Steps to develop, train, and evaluate machine learning models.

UNIT 9 – Linear Regression in Data Science: Using linear regression to model and predict numerical data.

UNIT 10 – Logistic Regression in Data Science: Modelling binary outcomes with logistic regression.

UNIT 11 – Decision Trees in Data Science: Understanding decision tree models for classification and prediction.

UNIT 12 – K-means Clustering in Data Science: Grouping data into clusters using K-means algorithm.

UNIT 13 – Synthetic Data for Privacy and Security in Data Science: Generating synthetic data to protect privacy.

UNIT 14 – Graphs and Graph Data Science: Using graphs to represent and analyse relationships in data.

Key Highlights

  1. Accredited by Ofqualand awarded by QUALIFI.
  2. Recognised Level 3qualification
  3. Flexible studyoptions: fully online or blended learning via the MyLearnDirect platform.
  4. Average completion time: 8 –10 months, with a total support period of 12 months.
  5. Unlimited tutor supportand dedicated support desk for academic and technical guidance.
  6. Course fees are all-inclusive, covering registration, comprehensive learning resources, and assessment costs.
  7. Access to high-quality course materials and structured study plans to support your learning journey.
  8. Study at your own pace, with 24/7 portal accessfor maximum flexibility.
  9. On completion, gain a globally recognisedQUALIFI diploma that supports progression to higher studies or job roles.

Learning Outcomes

  • Collect and prepare accurate data
  • Analyse and interpret datasets
  • Visualise and communicate insights
  • Apply basic machine learning and statistics
  • Use data ethically to support decisions

Who is this course for?

This course is designed for beginners and aspiring data professionals seeking to build a strong foundation in data science. With modules covering Python, data analysis, visualisation, and basic machine learning, it’s ideal for those looking to explore data-driven decision-making. If you want to understand, interpret, and apply data effectively, this course provides the essential skills to get started in data analysis and related roles.

Requirements

The QUALIFI Level 3 Diploma in Data Science is designed for beginners and aspiring data professionals who want to build a strong foundation in data analysis, visualisation, and basic machine learning skills.

To be eligible for this course, you must:

  • Be 18 years of age or over.
  • Have some experience or a previous level 2 qualification
  • Possess the ability to complete the Level 3 course

Our friendly admissions advisors will guide you through the process, ensuring the course matches your experience, aspirations, and long-term career goals.

Career path

  • Ideal for learners starting a career in data analysis, data science, or related roles.
  • Provides a pathway to higher-level study in data science, analytics, or advanced computing qualifications.

Questions and answers

Reviews

Currently there are no reviews for this course. Be the first to leave a review.

FAQs