Data, AI, and Cloud Courses

Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.

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

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

Prepare for your next coding interviews in Python.

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

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

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

Analyze text data in R using the tidy framework.

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

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

In this course, youll learn about the concepts of random variables, distributions, and conditioning.

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

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.

Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

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

Snowflake is a top data warehousing platform. Learn how they use Snowsight, a user-friendly SQL interface for accessing and exploring data.

Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.

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

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.

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.