AI/ML Engineering & Data Science · Live Online

Data Science Course

Learn how to explore, analyze and visualize data to answer real questions — the data-focused skills that sit alongside, and feed into, machine learning.

Illustration representing data science, statistics and visualization learning
Who This Is For

Built for Analytical Minds

If you enjoy working with numbers and want to turn raw data into clear answers, this course is for you. Basic Python helps; if you have none yet, start with Python for AI.

Students & Beginners

Get a structured introduction to working with real data instead of piecing it together from scattered tutorials.

Working Professionals

Add data analysis and visualization skills to a business, product or operations role.

Career Switchers

Build a portfolio of data analysis projects on the way to a data science or analytics role.

Curriculum

What You'll Learn

A practical path from cleaning raw data to communicating findings clearly.

1

Working With Data

Cleaning, structuring and exploring real-world datasets before any analysis starts.

2

Statistics for Data Science

The statistical concepts you actually use day to day — distributions, correlation, hypothesis testing.

3

Data Visualization

Turning analysis into charts and dashboards that communicate findings clearly to others.

4

Capstone Project

Analyze a real dataset end-to-end and present your findings, with instructor feedback along the way.

Format

How the Course Runs

Live online classes with an instructor, plus recordings for anything you need to revisit. Small enough batches that you can actually ask questions and get answered.

You'll work on a hands-on data analysis project throughout the course, not just at the end, and get a certificate once you complete the requirements.

See Full Process
A learner analyzing a dataset during a live class
Frequently Asked

Before You Enroll

Do I need to know how to code?

Basic Python is helpful but not required to start. If you're new to programming, the Python for AI course is a good place to begin first.

How is this different from the Machine Learning course?

This course focuses on the data side — analysis, statistics and visualization. The Machine Learning course focuses on building predictive models. Many learners take both.

What will I be able to do after this course?

Clean and explore real datasets, apply core statistics, and build clear visualizations that communicate your findings.

What does it cost?

See the pricing page for current course fees.

Ready to Start With Data Science?

Talk to an advisor about whether this course fits your background and goals — no obligation.