Data science courses

Discover how Marketing Analysts use data to understand customers and drive business growth.

Master sampling to get more accurate statistics with less data.

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.

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

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

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

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

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

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

Learn to start developing deep learning models with Keras.

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

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

Master AWS security, governance, and cost optimization to prepare for the Cloud Practitioner certification.

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.

Prepare for your next coding interviews in Python.

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

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

Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

Using Python and NumPy, learn the most fundamental financial concepts.

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

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

Step right into the dynamic world of data modeling with Snowflake!

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

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.