Data Science Dojo Courses

Automating Supervised Machine Learning Pipeline Development

A high-level walkthrough of building a supervised learning pipeline, from missing-value handling and feature engineering to human oversight.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Search Query Expansion Using Natural Language Processing and Machine Learning

An unsupervised correlation service expands enterprise search queries by uncovering implicit relationships among terms in a content corpus.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Introduction to Deep Learning with PyTorch

See how PyTorch Lightning reduces boilerplate when training deep learning models, with practical examples and a plant pathology demo.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

How to Forecast Sales Using Prophet and Python

Use Prophet and a short Python script to build a sales forecast, with the method also applicable to other time-series prediction tasks.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Data Analysis Challenges in Cybersecurity

Explores why collecting security data is not the same as detecting threats, including the risks of over-collection.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

Data Analysis Challenges in Cybersecurity

A look at how security teams sift millions of events to spot suspicious signals, reduce false positives, and build threat intelligence.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Building Trustworthy AI Solutions

Applies the four cores of credibility—integrity, intent, capabilities, and results—to building trust between people and AI systems.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Coding Up a Linear Regression Algorithm From Scratch - Build Linear Regression From Python

Build a scikit-learn-style linear regression model from scratch, translating its math into efficient, customizable Python code.

• YouTube
• 1 hour 27 minutes
• Self-Paced
• Free Video

First Principles in Building a Real-Time AI Platform

A first-principles framework for designing real-time AI platforms, illustrated through feature stores and architectures from early industry adopters.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Miles to Go Before I Sleep - Gamification, Health Wearables, and Activity

Fitbit leaderboard gamification increased activity among sedentary users but reduced it among users who were already highly active.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Machine Learning for Signal Processing - Data Compression and Denoising

See how Principal Component Analysis can compress signal data and remove noise, with linear algebra explaining its strengths and limitations.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Azure Custom Vision for Beginners - Building Custom Vision Models with Microsoft Azure

Build and deploy a custom image recognition model in Azure, using labeled images to train and evaluate it before consuming it through APIs.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Data Manipulation with Dplyr

Use dplyr’s concise R functions to filter, aggregate, mutate, and join a wine-ratings dataset for more efficient data analysis.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Feature Engineering - Introduction to Dplyr Part 4

Use dplyr and base R to impute missing values, derive new values from existing columns, and combine datasets.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Online Experimentation and AB Testing

Learn how online experiments compare control and treatment groups, and how metrics, sample size, and statistical errors shape conclusions.

• YouTube
• 1 hour
• Self-Paced
• Free Video