Enabling Your Data Career
We’ll help you master the most in-demand skills in Data Science, Artificial Intelligence (AI) and much more. This programme is open to beginners and data professionals.
Industry-Leading Data Bootcamp
Hubledge’s intensive data bootcamps are project-based programs designed to unlock the power of data and AI through our curated in-demand technical curriculum.
Part-time Learning
Learn 2 weekday evenings and a Saturday. Learn without quitting your day job.
Industry Standard Curriculum
Developed by industry experts, practical applications with hands-on projects.
Instructor-Led Learning
Online classes with instructors to give you the support and resources you’ll need.
Dedicated Career Support
Dedicated career support and preparation for the job market.
Coaching Team
Our experienced and dedicated coaching team are playing important roles to ensure the success of our students.
Instructors
Our coaching staff are experienced Data professionals. They will support your learning and guide you through practical hands-on projects, ensuring you understand key concepts such as programming, statistics, machine learning, data visualization etc. They will follow the curriculum, provide assessments, and offer feedback to help students build a solid foundation in data science.
Teaching Assistants
Teaching Assistants, we’ll provide one-on-one support and help tackle daily challenges like coding exercises, project development, and concept clarification. They’ll review assignments and serve as mentors, fostering a positive learning environment where you can grow in confidence as you develop.
Career Coach
Our Career Coach closes the gap between education and employment. The role of the career coach is to help you to prepare for a career post bootcamp. They’ll help you build your resume, develop your portfolio, and ensure you are ready for interviews, in essence – job-ready. The career coach provides job search strategies, interview preparation, and networking advice, helping you to transition smoothly into data roles.
Join Our Instructor Led Bootcamp
Explore Our Courses
We apply the latest innovative technologies, deliver classes virtually, support your learning experience and practice with real-life projects.
In 20 weeks, master key data science topics like Python, machine learning AI and other applications to prepare you for real-world experience.
- 20 Weeks
- Part time
In 20 weeks, master data analytics modules like SQL Python, and master data visualisation techniques using Tableau, Power BI etc.
- 20 Weeks
- Part time
Frequently Asked Questions
How do I apply for a course?
You can apply for one of the courses by clicking on the “Apply Now” button on the 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.
What is the duration of the Data Analytics course?
The Data Analytics course 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 is the difference between data science and data analytics?
A data scientist develops predictive models, employs machine learning, and creates algorithms for extracting insights from data, frequently handling unstructured data to tackle intricate challenges. They concentrate on proactive, data-informed strategies and solutions.
A data analyst specializes in analyzing structured data, pinpointing trends, patterns, and actionable insights to aid business decisions. Their tasks primarily involve producing reports, dashboards, and data visualizations, depending more on statistical analysis than on advanced machine-learning methods.
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.
