Introduction to NumPy Course
The Introduction to NumPy course teaches you the essential building block behind most data work in Python. Learn to organise data efficiently and run calculations at scale, setting the stage for deeper analysis and machine learning.
Pay little to no cash with government subsidies
Chosen by 50,000+ learners
Online/In-Person
Intakes Available
21.5 Hours Total
7 Lessons + 1 Assessment
Flexible Schedule
Weekdays or Weekends
Available
Beginner Friendly
No prior background needed
Why an Introduction to NumPy Course Matters for Working with Data
Getting comfortable with NumPy early changes how approachable data work feels for everything that comes after.
- Storing and organising large sets of numbers becomes far more efficient once you understand the array structure NumPy was purpose-built for.
- You’ll stop writing repetitive code for simple calculations, since NumPy lets you apply an operation to an entire dataset in one step.
- Much of Python’s data ecosystem depends on this tool, as NumPy’s documentation notes that many other scientific and data libraries are built directly on top of it.
- Working with data the way it’s structured in practice becomes second nature, since understanding arrays, not just Python’s basic data types, is key to using modern data tools effectively.
Source: NumPy
Build Your NumPy Foundation with Vertical Institute
This course starts where most data science journeys should, with a solid grasp of how NumPy organises and processes data, before moving into more advanced tools. Training is hands-on and practical, with government-recognised certification, and funding support makes it accessible.
Individuals can tap on up to 70% SSG subsidy, SkillsFuture Credit (SFC), PSEA, and UTAP, while businesses can offset training costs through SkillsFuture Enterprise Credit (SFEC) and other schemes.
Who Should Join the Introduction to NumPy Course
Aspiring Data Science Professionals: This course builds on your Python fundamentals and teaches you how to organise and work with data using NumPy arrays. It's designed for those who want a clear entry point into data science, without getting lost in scattered tutorials.
Mid-Career Professionals and Career Switchers: You'll gain hands-on experience with a tool used across nearly every data-related role, from analytics to machine learning. This course suits those looking to pivot into a more technical position or round out their existing skill set.
Entrepreneurs and Business Owners: You'll learn how to process and calculate across larger sets of business data efficiently, without relying on manual spreadsheet work. This course helps you build a more data-informed approach to decision-making.
Fresh Graduates: This course gives you hands-on experience with a tool that underpins much of Python's data ecosystem, going beyond passive tutorials to build real, applicable skills. It's a practical starting point for entering the job market.
Practical Skills You’ll Gain in Introduction to NumPy Course
- Creating and Organising Arrays – Learn how to build NumPy arrays, the structure that makes storing and working with large sets of numbers far more efficient than standard Python lists.
- Running Calculations Across a Whole Dataset – Learn how to apply a calculation to every value in a dataset at once, instead of writing loops to process one value at a time.
- Applying Basic Statistical Operations – Learn how to calculate things like averages, totals, and other summary statistics directly on your data.
- Getting Ready for What Comes Next – Build the foundation you’ll rely on in later modules, where NumPy arrays feed into data cleaning, visualisation, and machine learning work.
Why Choose Vertical Institute?
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What Our Students Say About Vertical Institute
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.
FAQs About the Introduction to NumPy Course
Is this course suitable if I've never worked with arrays before?
Yes. This course doesn’t assume any prior exposure to NumPy or array-based programming. You’ll start with the basics and build up gradually, supported by hands-on practice throughout.
How does NumPy connect to the rest of the curriculum?
NumPy is introduced early, right after Python fundamentals, as part of a module on data structures for machine learning. What you learn here feeds directly into later modules on data cleaning, visualisation, and machine learning.
What's the course format and duration?
Classes run both online and in person, totalling 21.5 hours across 7 lessons and 1 assessment. Weekday and weekend intakes are available.
Will I receive a certificate?
Yes. You’ll be issued a Certificate of Completion from Vertical Institute along with a WSQ Statement of Attainment, both recognised by employers in Singapore.
How much support is available through government funding?
Eligible learners can receive up to 70% subsidy support from SkillsFuture Singapore (SSG). The remaining balance can be offset using SkillsFuture Credit, PSEA, or NTUC’s UTAP.
Are there other perks available after enrolling?
Yes. NTUC members can access 50% subsidy support for AI tools such as ChatGPT, Claude, Gemini, and more, subject to UTAP’s terms and conditions and annual cap.
What funding is available if my company is sponsoring me?
Companies can explore SkillsFuture Enterprise Credit (SFEC), Absentee Payroll, and the Enterprise Innovation Scheme (EIS) to help cover costs, depending on eligibility.
How do I get in touch with the Vertical Institute team?
You can reach out via WhatsApp, phone, or by booking a call, whether you need help choosing the right course or understanding your funding options.
Introduction to NumPy Course
Chosen by 50,000+ learners
Learn the Basics of Data Through the Introduction to NumPy Course
The Introduction to NumPy course goes beyond theory, giving you hands-on experience organising and calculating across real datasets. Build the foundation you need before moving into Pandas and machine learning.
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