Data science courses

Learn to create your own Python packages to make your code easier to use and share with others.

Master sampling to get more accurate statistics with less data.

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.

Learn how to clean data with Apache Spark in Python.

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.

Explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of data points with just a few clicks of the mouse.

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

Learn how to identify, analyze, remove and impute missing data in Python.

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

Learn the fundamentals of data visualization using Google Sheets.

Master AWS cloud technology with our course - ideal for hands-on learning and practical applications in the AWS ecosystem.

Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

Learn the core techniques necessary to extract meaningful insights from time series data.

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

Learn efficient techniques in pandas to optimize your Python code.

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

Gain experience using techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.