Transform your career with our Data Science course
This program equips you with the knowledge and skill to solve real-world data challenges by framing business problems, handling data ethically, extracting insights using Python etc. You’ll master essential tools like SQL, Tableau, and Power BI for impactful data analysis and visualization. Dive into machine learning, building predictive models with techniques like supervised learning, NLP, and neural networks. You’ll benefit from full career support – from resume building to interview preparation to help you with a career in data science.

Course Duration
20 Weeks
Learning Format
Part Time - Online
Weekly Effort
Two weekday evenings and a Saturday
Course Overview
This program equips you to solve real-world data challenges by framing problems, handling data ethically, and extracting insights using Python. You’ll master essential tools like SQL, Tableau, and Power BI for impactful data analysis and visualization. Dive into machine learning, building predictive models with techniques like supervised learning, NLP, and neural networks. Complete a standout project to showcase your skills, and benefit from full career support, from resume building to interview preparation to confidently launch a data science career.
By the end of the 20-week programme, you will learn:
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Module 1: Introduction to Data Science
Learn the fundamentals of data science, covering essential methodologies and best practices. Understand the structured approach to solving problems in the data science field. -
Module 2: Data Analysis with SQL
Gain practical skills in SQL for data analysis, including querying databases, data manipulation, and aggregating data. This module will enable you to extract and analyze data effectively from relational databases. -
Module 3: Python for Data Science
Explore Python as a powerful tool for data science. Learn to work with data libraries like Pandas, Numpy, and Matplotlib to clean, manipulate, and visualize data for insights and decision making. -
Module 4: Exploratory Data Analysis (EDA)
Master the techniques for conducting exploratory data analysis. This module will cover various EDA tools and methods to understand data distributions, patterns, and relationships, preparing data for machine learning. -
Module 5: Machine Learning with Python
Dive into machine learning fundamentals using Python. Learn about algorithms for supervised and unsupervised learning, model building, evaluation, and tuning to create predictive models. -
Module 6: Neural Networks
Understand the basics of neural networks, including their architecture, activation functions, and training. Explore how neural networks form the foundation of deep learning models. -
Module 7: Artificial Intelligence (NLP & LLM)
Discover the world of Natural Language Processing (NLP) and Large Language Models (LLMs). Learn to work with text data, understand NLP techniques, and explore LLMs for tasks like language generation and summarization. -
Module 8: Cloud Data Science with AWS
Learn to leverage AWS for data science workflows. Gain hands-on experience with cloud-based tools and services for scalable data storage, processing, and machine learning model deployment on AWS. - Download Curriculum
Upcoming Data Science Bootcamp Courses
Are you ready to start?
Requirements
- A computer and stable internet connection.
- Analytical and critical skills and the ability to explain complex data concepts.
- You must have the interest and commitment to start your data science journey.
Complete the application process
- Click on the apply button to complete the application form.
- You will receive an automated email with instructions and information on the next steps.
Notification of the outcome
- After we have reviewed the pre-enrolment questionnaire, we may get in touch to seek further clarification, and this will be an opportunity for you to ask questions about the programme.
- The admissions team will get in touch to inform you of the outcome of the application and to provide information on the next steps.
Payment options
- It’s quite simple. You have the option to pay upfront and utilise our massive early bird discount.
- Monthly instalments – allowing you to split your tuition into monthly payments over 2 or 4 months.
- Sponsorship – we are open to the option of being reimbursed by your employer or an organisation interested in supporting training.
Learning about data is simply one aspect of it
The Bootcamp training includes:
The Bootcamp include:
- Instructor-Led Online Training
- Improving your soft skills
- Industry Standard Curriculum
- Interview coaching and mentorship
- Career support post-graduation
£1500
- Early bird discounts – up to £500 OFF
- Flexible payment available
Live information session
Join us to learn more about the Hubledge application process. The session offers you a chance to learn all about the program and get all your questions answered.
Frequently Asked Questions
How do I apply for a course?
You can apply for the courses by clicking on the “Apply Now” button on this page to enter the application zone and start typing away. It’s that simple
What is the duration of the Data Science course?
The Data Science lasts for 20 weeks.
Do I need to use my laptop?
Having a laptop of your own is recommended.
Do you have a payment arrangement in place?
Yes. You can make a full payment upfront, pay in instalments, or with a longer-term option provided by our financial partner. In addition, through Employer Sponsorship, for an employer to pick up the tuition cost.
What is the learning format for the course?
All boot camp courses are online with live instructors.
Is there a support arrangement for your graduates?
We’ll continue to support you for six months post-graduation through our Career Support team to ensure you hit the ground running.
What happens when a student fails the course?
At Hubledge, failure is not an option. As long as a student puts in the effort to learn, we always ensure the student is supported and taken along on the course until graduation.