Data, AI, and Cloud Courses

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

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

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

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

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

Create interactive data visualizations in Python using Plotly.

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

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

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

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

In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

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

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

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

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

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

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

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

Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

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

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

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

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

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

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

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

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