Data science courses

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

In this course, you'll learn how to import and manage financial data in Python using various tools and sources.

In this course, you'll learn the basics of relational databases and how to interact with them.

Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!

Leverage the power of Python and PuLP to optimize supply chains.

Explore Large Language Models (LLMs) in business. Realize their value and where you can begin utilizing them today.

Analyze text data in R using the tidy framework.

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

Discover how to become a data defender and keep data safe and secure with this beginner-friendly interactive course.

In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

Learn about ARIMA models in Python and become an expert in time series analysis.

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

In this course, you'll learn about the concepts of random variables, distributions, and conditioning.

Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

Learn how to efficiently collect and download data from any website using R.

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Learn to perform linear and logistic regression with multiple explanatory variables.

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

Learn how to approach and win competitions on Kaggle.