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Learn At Your Own Pace
Study wherever and whenever you want. You’ll have access to your course for two years so you can fit your learning around your other commitments.
Overview
The Level 3 Diploma in Data Science is a foundational qualification designed to introduce learners to the essential concepts of data analysis, statistics, programming, and data management. It provides the knowledge and practical skills required to begin a career in data science, analytics, or data-driven decision making.
This diploma is suitable for beginners, students, and professionals who want to develop analytical skills and understand how data is collected, processed, and interpreted in modern organisations.
Equivalent to the RQF Level 3, which is academically equivalent to Same as A-Level standard qualification.
Benefits of Doing a Level 3 Diploma in Data Science Online
Studying Level 3 Diploma in Data Science online offers learners a flexible, accessible, and career-focused route to advancing their skills within the sector. Key benefits include:
- Flexible Learning
- Learners can study at their own pace and schedule, making it easier to balance education with work, family responsibilities, or other commitments. Online learning platforms allow students to access course materials anytime and from anywhere.
- Cost-Effective
- Online learning removes the need for travel, accommodation, and other campus-related expenses, making education more affordable.
- Access to Quality Resources
- Students gain access to interactive digital learning materials, recorded lectures, case studies, and dedicated tutor support through an online learning portal.
- Career Advancement Opportunities
- The qualification develops essential leadership and management skills, supporting progression into supervisory and career roles within the IT care sector.
Course Delivery
The qualification is delivered fully online through:
- Virtual Learning Platform: Access to study materials and resources 24/7.
- Tutor Support: Regular guidance via email, online forums,
- Independent Study: Learners study at their own pace with structured guidance.
- Obtain assignment: marking and feedback.
- Online Assessments: Assignments, projects, and portfolios submitted on LSM.
- Acquire: Assignment briefing, study lesson plan
- Receive excellent-quality study notes.
- Receive dedicated customer support via chat, telephone, and email (Monday to Friday)
Modules
The QUALIFI Level 3 Diploma in Data Science comprises fourteen mandatory units. All units cover a number of topics relating to learning outcomes.
All units are mandatory
Unit 1 The Field of Data Science
- Understand the design philosophy and features of Python.
- Understand Python’s basic data types.
- Be able to create and manipulate lists and tuples
Unit 2 Python for Data Science
- Understand the rationale for the European union’s creation.
- Understand the institutions of the European Union.
- Understand how European Union laws are enforced.
Unit 3 Creating and Interpreting Visualisations in data science
- Understand the role and importance of visualising data.
- Understand basic plots and charts.
- Understand measures of spread.
Unit 4 Data and Descriptive Statistics in Data Science
- Understand the different types of data and their characteristics.
- Understand measures of centre.
Unit 5 Fundamentals of Data Analytics
- Understand the processes and types of data analytics
- Understand the data analytics ecosystem
- Understand the issues and methods for dealing with data quality issues..
Unit 6 Data Analysis with Python
- Be able to load and save data.
- Be able to perform basic data wrangling and exploratory analysis.
- Be able to perform basic data cleaning tasks.
Unit 7 Machine Learning Methods and Models in Data Science
- Understand the concepts of basic supervised machine learning models.
- Understand the concepts of basic unsupervised machine learning models.
- Understand the concepts of basic reinforcement learning.
Unit 8 The Machine Learning Process
- Understand the machine learning process.
- Understand the data preparation process for machine learning models.
- Understand how to evaluate machine learning models.
Unit 9 Linear Regression in Data Science
- Understand the basic theory of linear regression.
- Understand regression metrics and how to evaluate a regression model.
- Be able to perform regression calculations and analysis.
Unit 10 Logistic Regression in Data Science
- Understand the basic theory of logistic regression.
- Be able to perform logistic regression calculations.
- Be able to create logistic regression models.
Unit 11 Decision Trees in Data Science
- Understand what a decision tree is in data science.
- Understand how to construct a decision tree in data science.
- Be able to perform calculations using decision tree metrics in data science.
Unit 12 k-means Clustering in Data Science
- Understand the theory of k-means clustering.
- Understand how to evaluate k-means clusters
- Be able to create and evaluate a k-means model.
Unit 13 Synthetic Data for Privacy and Security in Data Science
- Understand the core issues of data privacy and security
- Understand the basics of differential privacy.
- Understand the core issues of synthetic data.
Unit 14 Graphs and Graph Data Science
- Understand different types of graphs and their properties.
- Understand the core types of graph data models.
- Understand the graph ecosystem.
Entry Requirements
- To study a Level 3 Diploma in Data Science learner must be aged of 18 and above.
- Relevant Level 2 Diploma qualification or equivalent qualification.
Qualifications
At the core of Qualifi’s mission is the creation and awarding of respected qualifications, built on a rigorous focus on high standards and consistency. Qualifi is recognised as an Awarding Organisation (AO) by Ofqual, the qualifications regulator for England, and is also a signatory to the BIS international quality commitments.
Assessment requirements
- Assessment is via assignment submission only.
- No Exams
Average completion timeframe (Course Duration)
- The average time it takes our learners to complete the course is 6-9 months.
- Learners are granted a maximum of two years’ access to complete the course from the date of enrolment.
Progression – Level 3 Diploma in Data Science
Successful completion of the qualification allows learners to progress in several ways:
1. Higher Education
Learners may progress to higher-level qualifications such as:
- Level 4 Diploma in Data Science or Data Analytics
- Level 4/5 Diploma in Computing or Information Technology
- Higher National Certificate (HNC) in Computing or Data Analytics
- Foundation Degree in Data Science, Computer Science, or Information Technology
- Bachelor’s Degree in Data Science, Artificial Intelligence, Computer Science, or Data Analytics
These programmes provide more advanced knowledge and technical expertise in data handling, programming, and analytical methods.
2. Employment Opportunities
The Level 3 Diploma in Data Science also prepares learners for entry-level roles in the data and technology sector. Possible career paths include:
- Junior Data Analyst
- Data Technician
- Business Intelligence Assistant
- Data Support Specialist
- Data Entry and Reporting Assistant
These roles involve working with data collection, analysis, reporting, and supporting organisations in making data-driven decisions.
Available from as little as
