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✨ Curriculum updated with AI

Advance Your Career with Our AI & Data Science Bootcamp

In 21 hours, learn Python, AI, and Machine Learning, and get a Data Science Certification.
Pay little or no cash with government subsidies:
Our Data Science & AI course boasts graduates from industry-leading organisations

Learn Data Science & AI with Vertical Institute


Why Choose Data Science & AI

The exponential growth of digital services has led to the development of the data science industry. It’s a highly sought-after skill by businesses aiming to refine their operations and make informed decisions. The lack of data scientists has led to lucrative salary offers for these professionals.

Source: Dollars and Sense

Who is This Course For

Aspiring Data Scientists & AI Professionals

Even with no prior experience, jumpstart your Data Scientist career and open the doors to a thriving industry.

Current Professionals

Enhance your data science skills with new tools and AI to better analyse and interpret complex data.

Entrepreneurs and Business Owners

Gain deep insights into your business operations and customer behaviour by leveraging data science techniques. Make data-driven decisions that propel your business forward.

Students and Lifelong Learners

Whether you’re a student or a lifelong learner, acquire this in-demand skill set that is crucial in today’s data-driven world.

Skills You’ll Learn

  • Intro to Data Science, AI and Machine Learning
  • String Methods & Control Flow
  • NumPy & Pandas
  • Data Cleaning, Visualisation & Exploratory
  • Machine Learning & Feature Scaling
  • Supervised Learning – Classification Models
  • Models Evaluation and Hyperparameter Tuning

AI & Data Science Course Details

Our WSQ Data Science course, incorporating AI’s transformative potential, is your passport to career transformation, delving into Python, Machine Learning, and beyond. Engage with expert-led instruction from the start to propel your journey into the digital era.
Data Science Course Details - Vertical Institute

Online classes via Zoom


7 Lessons, 3 hours each session


1 Instructor + TA supports

Course Fee & Government Subsidies

Pay even less or 0 cash with government subsidies 🎉

Singaporeans aged 40 and above

Course Fee
70% SSG Subsidy 🎉
– $1,155
SFC Credits 🎉
– $643.5
Amount to Pay

Singaporeans aged
below 40

Course Fee
$ 1798.5
50% SSG Subsidy 🎉
– $825
SFC+PSEACredits 🎉
– $973.5
Amount to Pay


Course Fee
50% SSG Subsidy 🎉
– $825
Amount to Pay


All Singaporeans aged 25 years old and above can use their SkillsFuture Credits to fully offset the remaining fees.


All Singaporeans aged 21 – 31 may use their Post-Secondary Education Account (PSEA) to offset remaining fees.


In addition, NTUC members can utilize UTAP to offset 50% of remaining fees (capped up to $500 per year).

Singaporeans aged 40 and above

Course Fee
70% SSG Subsidy 🎉
– $1,155
SFEC Credits 🎉
– $643.5
Amount to Pay

Singaporeans aged
below 40

Course Fee
$ 1798.5
50% SSG Subsidy 🎉
– $825
SFEC+PSEA Credits 🎉
– $973.5
Amount to Pay


Course Fee
50% SSG Subsidy 🎉
– $825
Amount to Pay


Eligible SMEs can enjoy up to 90% Additional Subsidy from SkillsFuture Enterprise Credit (SFEC) for the remaining fees after funding.


Enjoy the benefits of Absentee Payroll and Enterprise Innovation Scheme (400% tax deduction OR 20% Cash Payout Based on Nett Fee)

Data Science & AI Course Schedules

Choose from our flexible course schedules outside working hours. We have timeslots available on weekday evenings or weekends.

Meet our Instructors

Learn via interactive, expert-led sessions that provide practical insights into the real-world applications of Data science and AI.
Instructor Profile


Analyst @ Google

Master’s in IT Business (Analytics) Singapore Management University

Instructor Profile


Data Scientist @ Standard Chartered

Master’s in Computing National University of Singapore

Instructor Profile


Chief Technology Officer @ Worq Health

Masters in Knowledge Engineering, NUS BEng in Aerospace Engineering, NTU

Instructor Profile


Data Analyst @ Foodpanda

Bachelor’s in Mathematical Science Nanyang Technological University


Data Science & AI Course Curriculum

Master the fundamentals of Data Science, AI and machine learning through our comprehensive, hands-on curriculum designed to propel your career to new heights.


As a VI student, you will be given access to online learning materials in our e-learning portal.

To get you ready for learning, this essential pre-work will familiarise you with the basics of the key concepts and tools we will be using throughout the course.

Although you will learn these topics remotely before you arrive in class, you won’t be far away from the resources of the VI community. Make use of our Telegram channel to leverage connections with students, alumni, instructors and experts. At the end of your pre-work, you’ll be ready for the fast pace on campus!

After the course, you can choose to participate in follow-up sessions with your instructor, either in a group and/or individually, included as part of the course fee.

Module 1: Data Science Fundamentals


  • Introduction to Data Science
    • What is Data Science?
    • Data Science Life Cycle
    • What is Python and Why Learn It?
    • Introduction to Jupyter Notebook
  • Introduction to Python Fundamentals  
    • Introduction to Data Types
    • Python Variables (In-built Functions)
    • Arithmetic, Relational and Logical Operators
    • Python Datatypes (String, Lists, Tuples, Dictionaries)
    • None and Casting

Learning Objectives:

  • Describe data science and its life cycle, Python as a programming language and how to operate it on Jupyter Notebook editor
  • Utilize Python to perform arithmetic, relation and logical operators with different data types and functions

Module 2: String Methods & Control Flow


  • String Methods  
    • String Indexing
    • String Concatenation
    • String Formatting
    • List Slicing
  • Python Iterations, Control Flow, and Functions (if…else statements, for and while loops)

Learning Objectives:

  • Utilize different methods of data slicing and manipulation on textual data, iterations for repetitive tasks and user defined functions for control and logic flow

    Module 3: NumPy & Pandas


    • Numpy 
      • Introduction to NumPy
      • Properties of Ndarray 
      • Basic Operations of Ndarray Object (Arithmetic Operations) 
      • Indexing and Iterations
      • Importing Packages
    • Pandas 
      • Introduction to Pandas
      • Basic Operations of Series (Arithmetic Operations, Evaluating Values)
      • Basic Operations of Dataframes (Mathematical Operations)
      • Importing Files into Dataframes
      • Joins in Pandas (Merge & Concat)

    Learning Objectives:

    • Interpret Numpy arrays and use Numpy statistical module in Python for data indexing and iterations
    • Perform essential operations of Pandas module to extract and manipulate data to prepare for statistical process and machine learning

    Module 4: Data Cleaning, Visualisation & Exploratory Data Analysis


    • Data Visualisation- Matplotlib & Seaborn
      • Introduction to Matplotlib
      • Barplot, Histogram/Density Plot, Line Chart, Scatter Plot, Boxplot, Heatmap
      • Graph Parameters (Changing Size, Color, Style Markers, Titles, Legends and Label Orientation) in Matplotlib
    • Data Cleaning and Exploratory Data Analysis 
      • Introduction to Data Cleaning
      • Common steps in Data Cleaning
      • Exploratory Data Analysis (Filtering and Sorting, Column Manipulation, Group By/Aggregate Functions, Handling Missing Data, using Functions)

    Learning Objectives:

    • Build visualizations and graphs using Matplotlib and Seaborn to interpret data and gather insights to support business decisions
    • Use advanced techniques to clean data to conduct exploratory analysis for better understanding of the data

      Module 5: Introduction to Machine Learning & Feature Scaling


      • Linear Regression
        • Modeling and Predictions
        • Introduction to Linear Regression
        • Introduction to Scikit-Learn Package (Fitting the Data, Evaluation of Model and Comparing Models)
        • Introduction to Statsmodels
      • Feature Scaling
        • Standardisation
        • MinMax

      Learning Objectives:

      • Apply linear regression machine learning model to predict results of a continuous data type and evaluate its model performance
      • Use advanced techniques in standardization and normalisation of the datasets to obtain better performance in machine learning models

      Module 6: Supervised Learning – Classification Models


      • K-nearest neighbors 
        • Introduction to Classification
        • Introduction to KNN
        • Advantages and Drawbacks of KNN
        • Training KNN using Scikit-Learn 
      • Logistic Regression 
        • Binary Class
        • Probability Estimation Dilemma
        • Odds Ratio
        • Log Odds
      • Decision Trees and Random Forest Classification
        • Algorithm Walk-Through
        • Advantages and Drawbacks of Decision Trees
        • Training Decision Tree using scikit-learn 
        • Training Random Forest Scikit-Learn

      Learning Objectives:

      • Apply different algorithms to predict binary or multiclass outcomes and evaluate the model performances among the algorithms

      Module 7: Models Evaluation and Hyperparameter Tuning


      • Prologue to GridSearch 
        • Introduction to GridSearch
        • Review of Initial EDA Strategies
        • Implement Changes and Updates to KNN Model using GridSearch
        • Find Optimal Hyperparameters of a model
        • Apply GridSearch to Classification Model
      • Sklearn Pipelines
        • Inspecting Pipelines
        • Pipelines with GridSearch
        • Cross Validation

      Learning Objectives:

      • Create and automate hypertuning of machine learning models to obtain optimal machine learning parameters for good machine learning results

      Written & Practical Assessment

      Participants will be required to attend an assessment after the last lesson as part of the funding requirements.

      How to Apply in 3 Simple Steps

      Step 1 Indication Step 1

      Select Class Schedule

      Choose convenient classes on evenings or weekends.

      Next Step
      Step 2 Indication Step 2

      Calculate Your Subsidies

      Fill out the form to calculate your government subsidies.

      Next Step
      Step 3 Indication Step 3

      Pay $50 Deposit To Secure Your Spot

      Instead of paying the full fee, place a small deposit to secure your slot.

      8 Reasons to Learn AI & Data Science with Vertical Institute

      Reasons to Learn Data Science Vertical Institute

      🌱 Beginner-Friendly

      Upskill with our Cybersecurity course even with no prior background or experience.

      🧑‍🎓 Professional Certificate

      Gain an accredited and recognised course certification in Singapore.

      💻 Expert-led Learning

      Learn concepts and tools through expert-led lectures, discussions and project work.

      👨‍💻 Hands-on Training

      Full hands-on training using industry tools in real-lift scenarios.

      💬 Out of Class Support

      Get out of class supports from teaching assistants and instructor.

      📚 Lifetime Resource Access

      Unlock lifelong learning with access to course materials and support.

      🤝 Community Benefits

      Be part of the VI community and leverage connections with alumni and experts.

      ⭐️ Career Support

      Dedicated career support and job matching with hiring partners.

      Get your Data Science Certification

      Data Science Certificate - Vertical Institute
      Upon successful completion of this SSG-accredited bootcamp, you will be awarded a Data Science & AI certification recognised by employers in Singapore. VI alumni can use their course certificate to demonstrate skills to employers and their network.

      Pro Tips: Show your certification on LinkedIn to enhance your professional image and attract potential employers.

      Job Placement Assistance

      Vertical Institute offers Job Placement Assistance to graduates that have successfully completed any of our courses.

      Vertical Institute

      Over 1000 hiring partners

      Vertical Institute

      Land internship & industry opportunities

      Vertical Institute

      Apply your new skills learnt

      What Our Students Say About the Data Science Course

      Hear directly from our graduates about their Data Science course experience.


      Data Science Alumni

      Company Logo

      Starlee J.

      Data Science Alumni

      Social Media Logo

      I’m happy to share that I’ve obtained a new certification: Data Science Bootcamp from Vertical Institute! Stan Neo It was a pleasure learning from you. This bootcamp helped me brush up on my Data Science knowledge.


      Cherlyn C.

      Data Science Alumni

      Social Media Logo

      Huge shoutout to Vertical Institute team and Lindsay for helping me graduate from their Data Science Bootcamp! No prior experience, but a ton of grit - this accomplishment feels extra special.

      Hope to find my next data science adventure and progress further!


      Faqih Wahid

      Data Science Alumni

      Social Media Logo

      I’m thrilled to announce that I have graduated from the Data Science Bootcamp at Vertical Institute! I learned and implemented useful fundamentals of Python Programming such as Matplotlib, NumPy, Pandas, Scikit-learn and Regression models.

      As Featured on Channel NewsAsia with the Prime Minister Lawrence Wong

      Vertical Institute Instructor Clarence chats with Prime Minister Lawrence Wong on upskilling.

      Data Science Course FAQs

      What is Data Science?

      “Various manpower surveys have found particularly strong demand for data scientists, engineers and developers, with bumper salaries on offer to the right candidates.
      – The Business Times, 19 Apr 2022

      Data science refers to the multidisciplinary approach that helps companies to analyse raw data and make informed business decisions. The analysis of data is done by using tools such as algorithms, analytics, and machine learning models. The most common data science language is Python.

      This discipline has become incredibly popular due to the abundance of benefits it offers. For instance, data science helps to transform problems into research, followed by coming up with practical solutions. Data-driven decisions can also significantly boost sales and give businesses an edge over its competitors.

      Are there course fee subsidies available?

      Yes, you can get up to 70% funding support from SkillsFuture Singapore (SSG) for our accredited programs. After subsidy, you can use SkillsFuture Credits, Post-Secondary Education Account (PSEA), or NTUC UTAP funding for the remaining course fees. Eligible Singaporeans & PRs may receive funding support for our SSG-accredited training programs.

      For details, visit: https://www.skillsfuture.gov.sg/funding-individuals

      Can I use SkillsFuture Credits to pay for the remaining course fee after funding?

      Yes. For self-sponsored Singaporeans aged 25 years old and above, you can use your SkillsFuture Credit to offset the remaining course fees after IBF funding.

      To check your SkillsFuture credit balance, please follow these steps:

      1. Go to https://myskillsfuture.gov.sg
      2. Click on ‘Submit SkillsFuture Credit Claims’
      3. Login with your SingPass
      4. Click on the arrow (>) at the top right hand corner. You will be able to see a drop-down list of your Available SkillsFuture Credits.

      After you have registered for a course, a VI representative will reach out to guide you with the SkillsFuture Credits

      *Please note that our bootcamps are not eligible for “Additional SkillsFuture Credit (Mid-Career Support)’. You will only be able to use available credits from ‘SkillsFuture Credit’ and ‘One-off SkillsFuture Credit Top-Up’.

      Can I use my Post-Secondary Education Account (PSEA) to pay for the remaining course fee & funding?

      Yes, Singaporeans aged 21-31 can utilize their PSEA to cover remaining fees after SSG funding and using SkillsFuture Credit.

      To check your PSEA balance, call the 24-hour automated hotline at 6260 0777. After course registration, a VI representative will assist with the PSEA claim application.

      For more details, visit: https://www.moe.gov.sg/financial-matters/psea

      Can I use SkillsFuture Credits (SFC) and Post-Secondary Education Account (PSEA) at the same time?

      Yes, you can utilise both at the same time. You can use your PSEA to offset the remaining balance after SFC has been applied.

      For illustration purposes only:

      (a) Full Course Fee with GST $1798.50
      (b) Less IBF Subsidy (e.g. 50%) $825
      (c) Course Fee Payable (after IBF Subsidy) $973.50
      (d) SkillsFuture Credit -$500
      (e) Total Balance Payable by Post-Secondary Education Account (PSEA) $473.50
      (f) Total Balance Payable by Cash $0

      *Dependent on PSEA’s balance

      Can NTUC Union members use UTAP to offset the remaining course fee after funding?

      Yes, all our courses are eligible for Union Training Assistance Programme (UTAP) Funding. NTUC Union members can use UTAP to offset 50% of unfunded course fees (capped at $500 per year).

      This claim must be done after completion of the course. Please refer to the UTAP FAQ for more information.

      Can I use SkillsFuture Credits and UTAP at the same time?

      Yes, you can utilise both at the same time. UTAP can only be applied after SFC has been applied.

      For illustration purposes only:

      (a) Full Course Fee with GST $1798.50
      (b) Less IBF Subsidy (e.g. 50%) $825
      (c) Course Fee Payable (after IBF Subsidy) $973.50
      (d) SkillsFuture Credit -$500
      (e) NTUC Member pays $473.50
      (f) NTUC Member claims 50% of (e) from UTAP $236.75

      Are there subsidies available for company-sponsored individuals?

      Enhanced Training Support for SMEs

      SMEs that meet all of the following eligibility criteria:

      1. Registered or incorporated in Singapore
      2. Employment size of not more than 200 or with annual sales turnover of not more than $100 million

      SME-sponsored Trainees:

      1. Must be Singapore Citizens or Singapore Permanent Residents.
      2. Courses have to be fully paid for by the employer.
      3. Trainee is not a full-time national serviceman.

      Singapore citizen aged 40 and above – Up to 70% of the course fees

      Singapore citizen aged 40 and below including PRs – Up to 50% of the course fees

      For details , please visit – https://www.skillsfuture.gov.sg/initiatives/employers/enhanced-training-support-for-smes

      What is Absentee Payroll (AP) funding?

      Absentee Payroll (AP) funding is a grant to help employers defray the manpower costs incurred when you send your employees for training courses funded by SSG. For training outside working hours, AP funding is given to you to defray the overtime pay that was paid to your employees.

      With effect from 1 Jan 2022, SSG will introduce a fixed Absentee Payroll (AP) rate at $4.50 per hour. There will also be a $100,000 cap on the maximum AP funding each organisation can claim each calendar year to ensure that the benefits are more evenly distributed across companies.

      For details, visit – https://www.skillsfuture.gov.sg/funding-employers

      Are there instalment plans available?

      We offer interest-free instalment plans to ensure tech education is accessible to all Singaporeans and PRs. You may reach out to our admissions team for more information via:

      Email: [email protected]
      Phone: 6950 7023

      Are there any pre-requisites for this course?

      This program is suitable for beginners with no pre-requisites.

      Is there a data science certificate granted at the end of the course?

      Upon successful completion of this WSQ-accredited course, participants will be awarded a data science certification recognised by employers in Singapore. VI alumni use their course certificate to demonstrate skills to employers and their LinkedIn network.

      Our programmes are well-regarded by top companies, who contribute to our curriculum and use our courses to train their own teams.

          Why learn Python?

          The below graph shows the popularity of various coding languages. Python is the most popular coding language today and highly demanded by employers.

          1. Python is the fastest growing programming language.
          2. Python is extremely versatile, with multiple uses.
          3. Python is in high demand skill for jobs.
          4. Python is easy to read, write and learn.
          5. Python developers are paid competitively.
          6. Python has an incredibly supportive community.

          What softwares do I need to download?

          You will need to install Anaconda to run Python programming.

          You will need to have your own personal laptop/PC to attend the bootcamp.

          Your Instructional team will guide you step-by-step on the installation process before class begins.

          What if I cannot attend a class?

          If you miss a lesson, you are allowed to attend a makeup class. This would be the corresponding class of another intake that same week, subject to availability. If you cannot make it for the makeup class, then you can simply watch the recorded lesson video.

          Your attendance is only counted if you attend a makeup class.

          Why are data science skills relevant today?

          ‘Singapore Tech Salaries May Soar Up to 30% in Two Years’ – The Straits Times, 2022

          Businesses today understand the importance of data and are now placing immense emphasis on data science skills to drive innovation and make data-driven decisions. 

          Data science is one of the most coveted skills by employers across various industries such as finance and tech. The high demand and low supply of such skills also makes data science a highly lucrative career option. 

          Kickstart a career in Data Science with the beginner-friendly Data Science Bootcamp by Vertical Institute. The course allocates 3-4 instructional team members per class to ensure dedicated peer and mentor support for your Data Science journey. You will graduate with an IBF-accredited Data Science certification, as well as a polished, portfolio-ready project to showcase  your new Python and machine learning skills.

          Join the Data Science Course Today!

          Step into a transformative career journey with Vertical Institute’s WSQ Data Science course in Singapore. Start your data science journey with us.

          Book a call with our Education Consultants

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