Data, AI, and Cloud Courses

Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.

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

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

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

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

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

Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.

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

Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.

Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.

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

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

Learn SQL with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

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

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

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

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

Prepare for your next coding interviews in Python.

Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

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

Get started with Sigma! Learn how to build and customize simple, interactive dashboards for real-time analytics.

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

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

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

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.

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

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

Visualize seasonality, trends and other patterns in your time series data.