Introduction to Pandas Course
The Introduction to Pandas course builds on your Python fundamentals, giving you the tools to import, clean, and manipulate real datasets. It’s a foundational skill expected across most data science and analytics roles.
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 Pandas Course Is a Foundational Skill You Need
Once you get comfortable with Pandas, working with real data stops feeling overwhelming and starts feeling manageable.
- You’ll be able to turn messy, raw data into something you can actually explore and clean, since Pandas is built specifically for this.
- You’ll move from writing scattered code to working with a clear, organised structure, since Pandas introduces the DataFrame, a format that makes importing, filtering, and exporting data far more straightforward.
- You’ll be building a skill that’s considered standard in the field,alongside NumPy and scikit-learn.
- You’ll avoid a common early mistake by skipping ahead to modelling before mastering data exploration, which often results in models built on data you never fully understood.
Sources: Analytics Insight, KDnuggets
Build Pandas and Data Skills with Vertical Institute
Rather than jumping straight into modelling, this course builds your data foundation properly, teaching you to import, clean, and filter real datasets before moving into more advanced analysis.
Government-recognised certification adds real weight to what you learn, and funding options make 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 Pandas Course
Aspiring Data Science Professionals: This course builds on your Python fundamentals, teaching you to import, clean, and organise real datasets using Pandas. It's designed for those who want a structured way into data science.
Mid-Career Professionals and Career Switchers: You'll gain hands-on experience turning messy, real-world data into something usable, a practical skill that applies across roles far beyond data science. This course suits those looking to pivot into a more technical role or strengthen their existing skill set.
Entrepreneurs and Business Owners: You'll learn how to work with your own business data more effectively, from cleaning spreadsheets to spotting patterns worth acting on. This course helps you move beyond manual data review toward more informed decisions.
Fresh Graduates: This course gives you hands-on experience with one of the most widely used tools in data science, going beyond passive tutorials to build real confidence working with data. It's a practical starting point for entering the job market.
Practical Skills You’ll Gain in the Introduction to Pandas Course
- Bringing Data into Python – Learn how to import data from CSV and JSON files, so you’re working with real datasets from the start, not sample data.
- Cleaning Data That Isn’t Perfect – Learn how to spot and handle missing or inconsistent values, a step most real datasets require before they’re usable.
- Filtering and Organising Data with Purpose – Learn how to narrow down large datasets to just the rows and columns that matter, using Pandas’ DataFrame structure.
- Exporting Your Work – Learn how to save your cleaned and organised data as a CSV file, ready to share or use in further analysis.
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 Pandas Course
Will I be able to follow along if I've never used Pandas before?
Yes. This course assumes no prior exposure to Pandas. You’ll start with Python fundamentals and work up to Pandas gradually, with plenty of hands-on practice using real datasets along the way.
Where does Pandas fit into the overall course?
Pandas is introduced alongside NumPy in a dedicated module on data structures for machine learning. You’ll learn to import, clean, filter, and export data using Pandas’ DataFrame structure, preparing you for the data visualisation and machine learning modules that follow.
How long is the course, and how is it delivered?
The course runs both online and in person, adding up to 21.5 hours across 7 lessons and 1 assessment.
Do I get a certificate at the end?
Yes, you’ll receive both a Certificate of Completion from Vertical Institute and a WSQ Statement of Attainment, both recognised by employers in Singapore.
How much of the course fee can I offset through funding?
Eligible learners can receive up to 70% support from SkillsFuture Singapore (SSG). Any remaining balance can be covered using SkillsFuture Credit, PSEA, or NTUC’s UTAP.
Does enrolling unlock any other perks?
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.
Can my company sponsor my enrolment?
Yes. Companies can look into SkillsFuture Enterprise Credit (SFEC), Absentee Payroll, and the Enterprise Innovation Scheme (EIS) to help offset costs, depending on eligibility. It’s worth reaching out to the team directly to check what applies to your organisation.
What's the best way to get in touch with the team?
WhatsApp, phone, or booking a call all work, whether you want help picking the right course or understanding what funding you qualify for.
Introduction to Pandas Course
Chosen by 50,000+ learners
Learn Data Skills Through This Introduction to Pandas Course
The Introduction to Pandas course goes beyond syntax, giving you hands-on experience importing, cleaning, and organising real datasets. Build the foundation you need before moving into data visualisation and machine learning.
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