DSM
FoundationsBeginner

Foundations & Data Literacy

What data science actually is, how data works, and the statistical intuition every practitioner needs before writing a single line of code.

8h estimated12 lessons650 XP total
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Learning journey

01

Section 01

What Is Data Science?

Orient yourself in the field — what data science is, the shapes data takes, the workflow that turns questions into answers, and the tools practitioners reach for.

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02

Section 02

Understanding Data

Learn to read a table with confidence, name the parts of a dataset, judge data quality, and spot the bias that silently corrupts conclusions.

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03

Section 03

Intro to Statistics

Build the statistical intuition every data scientist needs — summarising data with averages, reading the shape of a distribution, and telling correlation apart from causation.

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04

Section 04

Foundations Project

Put every Foundations skill together in a single guided exploration of a real dataset — from first glance to a reported insight.

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More coming soon

Control Flow, Functions, Data Structures — this track is actively expanding.

Skills you're building

VariablesAhead
Data TypesAhead
Type ConversionAhead
Python ListsAhead
NumPy ArraysAhead
VectorizationAhead

What Python unlocks

📊Pandas — data analysis
🔢NumPy — numerical computing
🤖Scikit-learn — machine learning
🧠TensorFlow / PyTorch — deep learning

Where this leads

Python for Data ScienceNow
Data Analysis with Pandas
Machine Learning

First lesson · 15 mins · +40 XP

What Is Data Science?