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Data Science Immersive Data Science Immersive

Data Science Immersive

Your best course for career transformation. This full-time data science course features expert instruction and connections to top employers to get you hired.

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Companies can benefit from insights and predictive models for business needs ranging from customer segmentation to personalised product recommendations – only if they have the talent to support it.

In this training, participants build on Level 1 Data Skills to dive into Level 2 advanced analytics and machine learning in Python.


‣ This is an intermediate-level course with some prerequisites. Students are recommended to have strong mathematical foundation and familiarity with Python and programming fundamentals.  

‣ Students are assigned up to 12 hours of Data Science Fundamentals online pre-work to prepare for class.


Analysts or engineers who want to transition into data science.

Students that are analytically inclined and want to transition into data science full-time.



‣ Level 1 Data Skills: Wrangle, explore, model, and communicate the results of multiple analyses with Python and its many packages.

‣ Level 2 Data Skills: Work on rigorous advanced analytics data sets and practice machine learning techniques in depth.

19K+ Premier Hiring Partners From Around the World

Course Outline

Pre-Work: 12 Hours of Online Tutorials
  • Learn online, and explore the essentials of Python for data science and applied math through a series of self-paced, preparatory lessons.


Unit 1: Data Science Fundamentals
  • Practice the fundamentals of data science by generating descriptive statistics and visualisations in Python.


Unit 2: Exploratory Data Analysis
  • Practice exploratory data analysis to clean and aggregate data and identify the basic statistical testing values of your data in Python and SQL.


Unit 3: Classical Statistical Modeling
  • Explore effective study design and model evaluation and optimisation, implementing linear and logistic regression and classification models.
  • Collect and connect external data to add nuance to your models using web scraping and APIs.


Unit 4: Machine Learning Models
  • Build machine learning models.
  • Explore the differences between supervised and unsupervised learning via clustering, natural language processing, and neural networks.


Unit 5: Advanced Topics and Trends
  • Dive deeper into recommender systems, neural networks, and computer vision models, implementing what you’ve learned to productise models.

Inside the Award-Winning Curriculum

Made With — and for — Top Employers

Data science has topped LinkedIn’s Emerging Jobs Report for three years running. Capitalise on demand with a programme that's primed for industry relevance. Our curriculum is guided by the Data Science Standards Board — a group of data executives from companies like Bloomberg and Nielsen.

Gain a Well-Rounded Technical Foundation

Get hands-on with the skills you need to derive value from complex data. Dive into Python, data analysis, and statistical modeling. Then, branch into machine learning with algorithms of increasing complexity, from decision trees and random forests to natural language processing and neural networks.

Put Predictive Modeling Techniques Into Practice

Tackle five projects, compiling a professional-grade portfolio of compelling stakeholder presentations and data visualisations. For your capstone, you’ll put machine-learning models into production to address a real-world data challenge.


Elite Instructors

These data science veterans bring in-depth experience from the field to the classroom each day, providing invaluable insights into succeeding on the job. 

GA instructors* are committed to providing personalised feedback and support to help you gain confidence with key concepts and tools.

*GA instructors are subject to their availability

Tuition Fees

Full Tuition

Total course fee:


excluding 6% SST

*Discounts available for first-time self-paying individuals.


As low as:



*Discounts available for first-time self-paying individuals.

HRD Corp-claimable

You can now claim the tuition fees from your employer's HRD Corp levy.

Apply today and our Admissions team will contact you to walk through the financing options available.

Frequently Asked Questions

Why is this data science course relevant today?

It’s ranked among the top fields in LinkedIn’s Emerging Jobs Report for three years running and, according to the latest numbers, data scientist roles are experiencing 37% annual growth. Across industries from information technology and software to financial services and higher education, organisations are moving quickly to build robust in-house teams of data scientists and advanced analysts, and there’s not enough talent to go around.

For those with quantitative backgrounds or existing analytical skills, building out this specialised skill set can spell ample opportunity to secure a high-paying job in data science, advanced analytics, business intelligence, and more.

What are the professional backgrounds of the data science immersive students?

DSI students come from all walks of life but share one common mission: They are passionate about launching a career in data science or advanced analytics. We see career-changers from diverse professional backgrounds, including engineers and recent STEM graduates, mid-career marketing and financial analysts, and business strategists, as well as more those from more far-flung fields like sales and the law.

Are there any prerequisites for this data science immersive?

This is an intermediate-level course with some prerequisites. We recommend that students arrive with a strong mathematical foundation and familiarity with Python and programming fundamentals. Some students have engaged in self-learning or have some technical background, such as a degree in mathematics or computer science or work experience in research or analysis. 

Upon enroling, you’ll complete a series online preparatory lessons, diving into the essentials of the Python programming language and applied math before the course begins.

Our Admissions team can discuss your background and learning goals to advise if this Immersive is a good fit for you.

Will I earn a certificate?

Yes! Upon passing this course, you will receive a signed certificate of completion. Thousands of GA alumni use their course certificate to demonstrate skills to potential employers — including our 19K+ hiring partners — along with their LinkedIn networks. GA’s data programmes are well-regarded by many top employers, who contribute to our curriculum and partner with us to train their own teams.

What does my tuition cover?

Here are just some of the benefits full-time students can expect at GA:

  • Expert instruction in the skills you need to successfully transition into a data science career.

  • Self-paced pre-work to explore data science fundamentals and prepare to hit the ground running on day one of class.

  • Robust coursework, including expert-vetted lesson decks, project toolkits, and more. Refresh and refine your knowledge throughout your professional journey as needed.

  • A professional-grade portfolio to showcase your ability to solve real-world data problems to potential employers and collaborators.

  • Individual feedback and guidance from instructors and TAs during office hours. Stay motivated and make the most of your experience with the help of AGA’s dedicated team.

  • Exclusive access to alumni discounts, networking events, and career workshops.

  • A GA course certificate to showcase your new skill set on LinkedIn.

  • Connections with a professional network of instructors and peers that lasts well beyond the course. The global GA community can help you navigate and succeed in the field.