Data, AI, and Cloud Courses

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

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

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

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

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

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

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

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

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

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

Prepare for your next coding interviews in Python.

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

Learn to implement distributed data management and machine learning in Spark using the PySpark package.

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

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.