Data Science Dojo Courses

How to Validate Your Model & Data and Easily Avoid Common ML Pitfalls

Practical machine learning validation checks expose data leakage, drift, quality problems, and unstable model performance before they become critical failures.

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

Reliable and Reusable Python Script Sharing With KNIME

Learn to package Python scripts as reusable KNIME components and build Python-based KNIME nodes for reliable organizational sharing.

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

Natural Language Processing in Mental Health

Explore how natural language processing can reveal indicators of schizophrenia and neurodegenerative disorders, alongside the technology’s clinical risks.

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

Crash Course on Transfer Learning

Learn how transfer learning moves knowledge between deep learning models, reducing data and training needs while adapting models to related tasks.

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

DataOps for the Modern Computer Vision Stack

An overview of DataOps for computer vision, focusing on data quality, labeling, engineering, governance, and collaboration across the production stack.

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

Introduction to Power Virtual Agents

Introducción práctica a la creación de chatbots sin código con Power Virtual Agents, desde temas y entidades hasta conexiones con bases de conocimiento y canales.

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

Crash Course in Predictive Analytics

A general-audience introduction to using data and predictive models to understand what comes next, from connecting noisy information to regression and classification.

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

The Seven Ingredients in Every Great Chart

Learn the seven kinds of knowledge—from data and statistics to audience awareness—needed to create clear, useful charts that do not misrepresent reality.

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

Putting MLOps into Practice

Learn how to operationalize machine learning through MLOps processes, experimentation, data engineering, deployment, monitoring, and organizational practices.

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

Power BI Crash Course for Beginners

Use Power BI Desktop to clean transaction data, create calculated columns and measures with DAX, and build interactive visualizations.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Introduction to Hierarchical Clustering with College Scorecard Data

Introduces hierarchical clustering by using College Scorecard data to group similar schools based on demographic and institutional characteristics.

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

Effective Data Storytelling as a Data Scientist in Industry

Learn from real presentation mistakes how to communicate machine learning and statistical models effectively and build data stories that resonate with business stakeholders.

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

Data Mining Crash Course

A fast-paced introduction to data mining vocabulary, data quality, preprocessing, similarity measures, and exploratory visualization.

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

Crash Course on Designing a Dashboard in Tableau

Learn to build a basic business dashboard in Tableau using line, bar, and map charts, with attention to practical visualization design.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Introduction to Convolutional Neural Networks with TensorFlow

Learn the basics of convolutional neural networks and build a TensorFlow model for image classification.

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