Data Science
From the data science lifecycle to statistics, feature engineering and deployment. Learn to turn raw data into decisions and production-ready models.
10
Total Topics
3
Categories
Data Foundations
3 topicsBeginner10 min
The Data Science Lifecycle
From problem framing to monitoring a deployed model.
Data Foundations
Beginner12 min
Python Toolkit for Data Science
NumPy, pandas and Matplotlib essentials.
Data Foundations
Intermediate14 min
Data Collection & Wrangling
Load, clean, reshape and merge messy data.
Data Foundations
Statistics & Exploration
4 topicsBeginner14 min
Exploratory Data Analysis (EDA)
Summaries and plots to understand a dataset.
Statistics & Exploration
Beginner12 min
Descriptive Statistics
Center, spread, shape and outlier detection.
Statistics & Exploration
Intermediate16 min
Probability & Distributions
Bayes theorem, normal, binomial and Poisson.
Statistics & Exploration
Intermediate18 min
Hypothesis Testing & A/B Tests
p-values, t-tests and designing sound experiments.
Statistics & Exploration
Modeling & Communication
3 topicsIntermediate16 min
Feature Engineering
Encoding, scaling and leak-free pipelines.
Modeling & Communication
Beginner12 min
Data Visualization & Storytelling
Choose charts and structure a data narrative.
Modeling & Communication
Advanced20 min
Deploying Data Science Models
Serve models via API and monitor for drift.
Modeling & Communication