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