Data, AI, and Cloud Courses

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.

Discover how the Pinecone vector database is revolutionizing AI application development!

Prepare for your next coding interviews in Python.

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

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

Analyze text data in R using the tidy framework.

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

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

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

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

Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

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

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

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

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

Learn how to design Power BI visualizations and reports with users in mind.

Create interactive data visualizations in Python using Plotly.

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

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

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

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

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

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

This course will show you how to integrate spatial data into your Python Data Science workflow.

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

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

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

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

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

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.