Courses / Data & Intelligence

Python & NumPy for Data Science

Learn Python and NumPy, the numerical toolkit behind data science: functions, arithmetic, logs, sums, set operations and more.

12 Hours
Duration
Skill Certificate
Recognition
6 Modules
Structured learning
On enquiry
Fee shared on enquiry
View Curriculum
Python & NumPy for Data Science
01 — Overview

Build understanding you can apply.

NumPy is the backbone of numerical computing in Python. This programme introduces Python and NumPy, then works through the core operations you will use every day: creating functions, arithmetic, rounding, logarithms, summations, products, differences, LCM and GCD, trigonometry and set operations.

What you will learn

  • Get started with Python and NumPy.
  • Create functions and perform simple arithmetic.
  • Round decimals and work with logarithms.
  • Compute summations, products and differences.
  • Find LCM and GCD, and use trigonometric, hyperbolic and set operations.

Who is this for?

  • Students and graduates beginning data science
  • Engineers and analysts adding Python
  • Anyone preparing for machine learning
Prerequisites: No prior Python needed. School-level maths is helpful.
02 — Why this course

Why take Python & NumPy for Data Science?

Core Skill

Python and NumPy underpin most data science work.

Step-by-Step

One focused concept per 2-hour session.

Maths Made Practical

Logs, sums and trigonometry applied in code.

Ready for Statistics

The ideal base for the distributions course.

03 — Curriculum

6 modules, one clear path.

Open each module to see the topics covered.

01
Module 01 · 2 hrs
Introduction to Python & NumPy
+
  • Introduction to Python and NumPy.
02
Module 02 · 2 hrs
Functions & Simple Arithmetic
+
  • Introduction and creating functions.
  • Simple arithmetic operations.
03
Module 03 · 2 hrs
Rounding Decimals & Logs
+
  • Rounding decimals.
  • Logarithms.
04
Module 04 · 2 hrs
Summations & Products
+
  • Summations.
  • Products.
05
Module 05 · 2 hrs
Differences, LCM & GCD
+
  • Differences.
  • Finding LCM and GCD.
06
Module 06 · 2 hrs
Trigonometry, Hyperbolic & Set Operations
+
  • Trigonometric functions.
  • Hyperbolic functions.
  • Set operations.
04 — Skills & tools

Skills you gain

PythonNumPyFunctionsLogarithmsTrigonometrySet operations

Assessment & activities

  • Coding exercises after each module
  • Mini-problems on arithmetic, logs and sets
  • Final course assessment
05 — Outcomes

Career & industry pathways

1
Junior Data Analyst
2
Python Developer Trainee
3
Data Science Trainee
4
Research Assistant
5
Analytics Associate
06 — Your journey

From enquiry to certificate.

01
Enquire

Submit an enquiry and our team contacts you.

02
Enrol

Complete enrolment and payment with the team.

03
Learn

Watch course videos in your student dashboard.

04
Assess

Take quizzes and the final assessment.

05
Certify

Receive a verifiable certificate.

Certification

Finish with something you can show.

Meet the completion criteria to receive a certificate with your name, course, completion date, certificate ID and QR verification.

Student NameCourse NameCompletion DateCertificate IDQR VerificationCredit Status
07 — FAQ

Questions, answered.

Is this for complete beginners?+

Yes. It starts with an introduction to Python and NumPy.

How long is this course?+

12 hours across 6 sessions of 2 hours each.

How do I enrol?+

Submit the enquiry form. Our team will contact you to guide enrolment and payment. Fee: On enquiry.

How do I access the course?+

After enrolment, you access private course videos and materials through your authenticated student dashboard.

Will I receive a certificate?+

Yes. Learners who meet the completion requirements receive a verifiable certificate with a QR code.

Is this credit-bearing?+

This is a skill-certificate programme. Ask our team about credit recognition for your institution.

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Ready to start Python & NumPy for Data Science?

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Python & NumPy for Data Science

Fee: On enquiry. Our team will contact you shortly.