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WSQ Data Science Bootcamp 

Master Python and unlock the world of data science, AI and machine learning in just 21 hours.

Data Science and AI Bootcamp Course Singapore - Vertical Institute

Government Subsidies Available:

Data Science and AI Bootcamp Course Singapore - Vertical Institute

The Data Science course graduates come from industry-leading companies.

Transform Your Future with the WSQ Data Science Bootcamp

Data Science Course Singapore - Vertical Institute

Dive into the thriving field of Data Science & AI with our beginner-friendly bootcamp designed for aspiring professionals. Our program, focused on Python, the leading language in data science, offers hands-on experience, real-world projects, and expert mentorship to propel your career forward. Whether you’re starting from scratch or looking to enhance your skills, this WSQ accredited course is your launchpad to success.

“Data scientists are the second-highest share of vacancies within the information and communications technology (ICT) sector.”

Possible Career Pathways for Data Science:

Data Scientist
Head of Data
Data Engineer
Machine Learning Engineer
AI Research Scientist
Predictive Modeler
Quantitative Research Analyst
Business Intelligence Developer
Financial Quantitative Analyst
Supply Chain Analyst

Data Science Course Details

The WSQ Data Science course in Singapore, centered around Python programming, is more than just a course; it’s a career transformation journey. We blend theoretical knowledge with practical application, ensuring you’re job-ready from day one. Learn from industry-leading professionals and gain access to an exclusive network alumni. Our curriculum is continuously updated to reflect the latest industry trends, ensuring you’re learning the most current and in-demand skills.

Our graduates from this Data Science course include individuals from JP Morgan, Oracle, PwC, Accenture, Shopee, Walt Disney and more. Learn directly from expert data scientists in Singapore.

Class Details and Support

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7 lessons, 3 hours each lesson

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Online classes via Zoom

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1 Instructor, 1-2 Teaching Assistants

Live Q&A sessions

Close mentorship and guidance from instructors

Weekly free consultation slots

Capstone project feedback from instructor

Out of class support from TAs and instructor

Benefits of taking VI’s WSQ Data Science Course

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Beginner-Friendly

Upskill with our Data Science Bootcamp without any prior background or experience.

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Professional Certificate

Gain an accredited WSQ - Data Science Certification in Singapore.

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Expert-led Learning

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

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Personalised Feedback

Receive individualised feedback and support from your instructional team with free 1-on-1 consultations.

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Capstone Project

Apply what you’ve learned to create a capstone project solving a real-world data problem

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Community Benefits

Be part of the VI community where members can leverage connections with alumni, instructors and experts

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Career Support

Dedicated career support and matching with hiring partners

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Hands-on Training

Fully hands-on training with industry tools

WSQ Data Science Course Curriculum

Acquire Data Science & AI skills with our comprehensive curriculum designed by industry experts. Each module is crafted to provide you with a deep understanding of the subject matter, accompanied by real-life case studies and projects that solidify your learning.

Pre-Work

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

Tutorials:

  • 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

Tutorials:

  • 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

    Tutorials:

    • 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

    Tutorials:

    • 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

      Tutorials:

      • 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

      Tutorials:

      • 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

      Tutorials:

      • 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.

      Course Fee & Government Subsidies

      Upskill with ease, take course fees off your mind with government subsidies.

      Vertical Institute
      Vertical Institute

      Pay even less or 0 cash with additional support:

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

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

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

      Data Science Course Schedules

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

      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.

      Meet our Instructors

      Learn Data Science & AI live from industry experts for real-world insights.

      Clarence
      Google
      Stan
      Standard Chartered
      Zane
      Worq Health
      Lindsay
      FoodPanda

      What our students say about the Data Science Bootcamp

      Hear from our graduates who have made remarkable career strides post-bootcamp. 

      Data Science Bootcamp - This course teaches you Python coding. It is beginner friendly and I did not need to have any prior experience before joining. Very satisfied with the instructor who is an expert from Google. Super patient and helpful in answering my questions even outside of class. Thanks VI team.

      Took the Data Science bootcamp and it was well worth waking up early on the weekends for a month. Trainer Sifat guided us, and the bootcamp provided a good introduction to Python including being able to use what we learnt in the capstone. Funding was via IBF and the remaining via skillsfuture credits.

      Joined the Data Science Course. Great learning environment with patient and friendly instructors. Had an enjoyable and fruitful learning experience. Hope to find time to enrol myself into another course soon!

      Took both the Data Analytics and Data Science Course at Vertical Institute! The courses were both well paced and cover alot of topics as well. The capstone projects also let us apply the skills learnt. Instructors are also very approachable. Will still take part in other classes in the future if they have more data topics!

      I went through 7 lessons over 4 weeks and gained some basic knowledge about Data Science. While there's still more for me to learn, I managed to grasp some basics of python programming with just 21hrs of lessons. The boot camp was great for people taking baby steps in learning.

      Took both the Data Science and Data Analytics Bootcamps. Course content were structured really well and course materials were very helpful. Conducted live online so it was convenient to learn from anywhere. Pacing was really good. Instructors/TAs were very patient and ready to jump in to help. Overall a great experience and felt like I gained knowledge that will be helpful in career.

      Job Placement Assistance

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

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      Over 1000 hiring partners

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      Land internship & industry opportunities

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      Apply your new skills learnt

      Terms and conditions apply. Find out more.

      Frequently Asked Questions

      Have a few questions? Arrange a quick call with us anytime.

      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 SSG 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.
      5. 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’.

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

      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.

          Why-learn-Python-Queries-in-Stack-Overflow-2021
          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.

          Got another question?

          Are you ready to skyrocket your career and income potential? 🚀

          Be contacted by our Team Today - Vertical Institute

          Without the right qualifications, standing out in Singapore’s competitive job market becomes a challenge. With Vertical Institute, you can get certified in high-demand tech skills in just 21 hours! 🕒

          Get in touch to find out more today! 🎉

          Be contacted by our Team Today - Vertical Institute

          Featured on

          As Featured on Channel NewsAsia with the DPM Lawrence Wong

          Vertical Institute Instructor Clarence chats with DPM Lawrence Wong on upskilling.

          CNA
          Mothership
          ZaoBao SG
          Today
          Vulcan
          Money FM

          Our instructors and students come from top companies

          At Vertical Institute, we unite a diverse community of learners and instructors from global industry leaders. Our courses offer a unique chance to learn from experts, network with professionals, and gain insights from top-tier organizations.

          Company Logos - Vertical Institute
          Our instructors and students come from top companies - Vertical Institute

          Join the Data Science Course Today!

          Step into a transformative career journey with Vertical Institute’s WSQ Data Science course, centred around Python programming, this course blends theoretical knowledge with practical skills, ensuring you’re fully prepared for the job market. Learn from industry-leading professionals, join an exclusive alumni network, and stay updated with a curriculum reflecting the latest industry trends. Start your data science journey with us, Enrol now!