AI & Data Science Course
Are you lacking the skills employers are looking for? Enrol in our Data Science course to master Python, AI, and Machine Learning. Earn certification and secure your future in the competitive job market.
Pay little or no cash with subsidies
Trusted by 40,000+ learners
Online Classes
Via Zoom
7 Lessons
3 hours each session
Certification
Gain a professional certification
Beginner Friendly
No prior background needed
Learn Data Science & AI with Vertical Institute
Who is This Course For
All Professionals
Enhance your data science skills with new tools and AI to better analyse and interpret complex data.
Aspiring Data Scientists & AI Professionals
Even with no prior experience, jumpstart your Data Scientist career and open the doors to a thriving industry.
Entrepreneurs and Business Owners
Drive your business forward with data-driven decisions. Gain deep insights to streamline operations and customer service.
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 Will Learn
Course Fee & Government Subsidies
Pay even less or 0 cash with government subsidies
Singapore Citizens
(40 years and above)
$1,650
$1,798.50
– $1,155
Singapore Citizens
(Below 40 years) and PR
$1,650
$1,798.50
– $825
Use up to $1,000 SkillsFuture Credits
Use up to $500 SkillsFuture Credits
Singapore and PRs
$1,650
$1,798.50
– $1,155
– $445.50
Foreigner / Work Permit / Work Pass
$1,650
$1,798.50
– $1,485
Have questions? Read FAQs or Contact Us.
Have questions? Read FAQs or Contact Us.
Data Science Course Details
Use Python Tools (Pandas and NumPy)
Sort and analyse large datasets with Python to deliver clear insights for better decision-making.
Categorise Data with AI Techniques
Use AI to sort data into categories, enabling confident predictions for analysis or risk assessment.
Evaluate AI Models
Optimise AI models for top results, streamlining workflows to enhance project efficiency.
Learn From the Best in the Industry
Clarence
Senior Data Analyst @ Google
Master’s in IT Business (Analytics) Singapore Management University
Stan
Lead Data Scientist - Citi
Master’s in Computing National University of Singapore
Zane
Director, Generative AI (APAC) - Manulife
Masters in Knowledge Engineering, NUS BEng in Aerospace Engineering, NTU
How We Make Learning Different
Beginner-Friendly
Expert-Led Learning
Hands-On Training
Out of Class Support
Lifetime Resource Access
Career Support
Earn Your Data Science Course Certificate
You will receive a certificate from Vertical Institute upon successful completion of the course, together with a WSQ Statement of Attainment recognised by employers in Singapore. They can be used to demonstrate your skills to potential employers and expand your professional network.
Career Support & Alumni Benefits
After mastering in-demand skills with Vertical Institute, we provide you with additional support to steer you towards career success. Through our partnership with e2i (Employment and Employability Institute), you'll receive tailored career guidance to navigate your next steps. Plus, gain exclusive access to networking events and workshops led by industry experts, designed to boost your professional journey.
Recommended By Over 40,000 Alumni
Alan Lee
Data Science Course Alumni
The Data Science course at Vertical Institute equipped me with a strong foundation in key data science skills, including Python programming, data visualisation, AI & machine learning. I'm particularly thrilled to have delved into classification models and their practical applications. Great thanks to Clarence Tan for your expert guidance!
Siti Aisha
Data Science Course Alumni
VI’s Data Science and AI course was an excellent learning experience, with an emphasis on Python programming, AI/ML and data cleaning techniques. Working with libraries like NumPy and pandas made it easy to understand data manipulation and analysis. The hands-on approach made complex concepts feel accessible. I highly recommend this course to anyone looking to develop a strong foundation in data science.
Jek Ee Chiang
Data Science Course Alumni
I completed the Data Science & AI course with Vertical Institute, which covered Python fundamentals and an introduction to AI models. One key takeaway from the course was something lecturer Stan Neo emphasised: “Learning to Learn". His guidance, along with self-directed learning resources and coding challenges, made the journey all the more enriching.
Data Science & AI Course Schedules
Choose from our flexible course schedules outside working hours. We have timeslots available on weekday evenings or weekends.
Data Science Course FAQs
What is Data Science?
– 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?
For details, visit: https://www.skillsfuture.gov.sg/funding-individuals
Can I use SkillsFuture Credits to pay for the remaining course fee after funding?
To check your SkillsFuture credit balance, please follow these steps:
- Go to https://myskillsfuture.gov.sg
- Click on ‘Submit SkillsFuture Credit Claims’
- Login with your SingPass
- 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 courses 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?
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?
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?
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?
SMEs that meet all of the following eligibility criteria:
- Registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
SME-sponsored Trainees:
- Must be Singapore Citizens or Singapore Permanent Residents.
- Courses have to be fully paid for by the employer.
- 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?
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?
Email: contact@verticalinstitute.com
Phone: 6950 7023
Is there a data science certificate granted at the end of the course?
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?
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 have your own personal laptop/PC to attend the course.
Your Instructional team will guide you step-by-step on the installation process before class begins.
What if I cannot attend a class?
Your attendance is only counted if you attend a makeup class.
Why are data science skills relevant today?
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.
What are Vertical Institute's Refund Policy and Withdrawal Policy?
Refund Policy: The initial $100 deposit and any course fees paid are strictly non-refundable. The only event in which we will refund your $100 deposit is if you are using SkillsFuture Credits to pay for the remaining course fees after funding support.
Withdrawal Policy: If you drop out of a course halfway / fail to meet the minimum attendance requirements / fail to submit and pass the assessment, IBF will not subsidise your course fees, and you will be liable for the full course fee amount. Vertical Institute reserves the right to claw back the funded amount from the trainee if he/she did not fulfil the eligibility criteria.
Are there any minimum requirements to enrol in the course?
- Be aged 21 and above
- Possess basic computer literacy (equivalent to Level 2)
- Hold a minimum of one of the following academic qualifications:
- GCE “N”, “O” or “A” Level
- NITEC
- Diploma or higher
- Have at least 2 years of working experience
- Demonstrate English language proficiency equivalent to or higher than any of the following:
- Pass in GCE “N” or “O” Level English
- WPLN Level 5
- IELTS 5.5
- TOEFL iBT score between 46–59
If you are unsure about your eligibility, feel free to reach out to our team for a quick assessment.
What is the Attendance requirement for Vertical Institute’s courses?
To meet SkillsFuture Singapore (SSG) attendance requirements, you must attend at least 75% of the course. This is equivalent to completing at least 6 out of 7 lessons in Vertical Institute’s courses.
What are the Course Completion requirements for Vertical Institute's courses?
To meet SkillsFuture Singapore (SSG) course completion requirements, you must achieve at least 75% attendance and receive a ‘Competent’ grade in all required assessments/examinations, or submit any capstone project work (if any) stated in the course requirements.
Additionally, participants must complete course feedback surveys and meet any specific course requirements, such as those for WSQ qualifications.
Data Science & AI
Method: Online classes via Zoom
Duration: 7 Lessons, 3 hours each
Trusted by 40,000+ learners
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.
Data Science & AI Course Curriculum
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: Python Basics for Data Science & AI
Tutorials:
- Introduction to Data Science & AI
- What is Data Science & AI?
- Data Science Life Cycle
- Understanding Python and Its Role in AI
- Introduction to Jupyter Notebook
- Introduction to Python Fundamentals for AI
- Introduction to Data Types
- Python Variables (In-built Functions)
- Arithmetic, Relational and Logical Operators
- Python Datatypes (String, Lists, Tuples, Dictionaries)
- None and Casting
- Introduce OpenAl for generating Python code, debugging, and validating formulas
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: Working with Text & Control Flow
Tutorials:
- Strings Essentials for AI
- Working with Text: String Methods and Indexing
- Combining and Formatting Strings
- List and Text Slicing for Data Preprocessing
- Control Flow, Loops 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: Data Structures for Machine Learning & AI using Pandas and NumPy
Tutorials:
- Numpy
- Introduction to NumPy for Data Manipulation
- Properties of Ndarray
- Basic Operations of Ndarray Object (Arithmetic Operations)
- Indexing and Iterations
- Importing Packages
- Pandas
- Introduction to Pandas for Machine Learning & AI
- 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: From Raw Data to AI Insights: Data Cleaning & EDA
Tutorials:
- Visualizing Data for AI Insights (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 for Machine Learning
- 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: Building AI Solutions with Supervised Learning - Regression Models
Tutorials:
- Demystifying AI: How Machine Learning, Data Science and AI Fit Together
- What is Machine Learning? Supervised vs Unsupervised Learning
- Introduction to Linear Regression in AI
- Modeling and Making Predictions with Real-World Datasets
- Using Scikit-Learn in ML Workflows
- Feature Scaling to Optimize Model Performance
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: Building AI Solutions with Supervised Learning - Classification Models
Tutorials:
- Introduction to Classification in AI
- K-nearest neighbors
- 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 Classification
- Algorithm Walk-Through
- Advantages and Drawbacks of Decision Trees
- Training Decision Tree using scikit-learn
Learning Objectives:
- Apply different algorithms to predict binary or multiclass outcomes and evaluate the model performances among the algorithms
Module 7: Optimizing AI Models: Evaluation, Tuning & Pipelines
Tutorials:
- Introduction to AI Model Evaluation & Optimization
- Introduction to GridSearchCV for AI Model Tuning
- 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
- Using Sklearn Pipelines to Streamline AI Workflows
- 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.
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Discuss your career goals
Decide which course is the best for you
Understanding the government subsidies
Other ways to reach us
Book a call with our team
Discuss your career goals
Decide which course is the best for you
Understanding the government subsidies