Data, AI, and Cloud Courses

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

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

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

Learn about Large Language Models (LLMs) and how they are reshaping the business world.

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

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

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

Create new features to improve the performance of your Machine Learning models.

Learn how to clean data with Apache Spark in Python.

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

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

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

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.

Master AWS security, governance, and cost optimization to prepare for the Cloud Practitioner certification.

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

Transform almost any dataset into a tidy format to make analysis easier.

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

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

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

Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

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

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

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

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

Create interactive data visualizations in Python using Plotly.