Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.6+
• 690

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

• IntermediateSkill Level
• 4.6+
• 664

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

• IntermediateSkill Level
• 4.6+
• 650

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

• IntermediateSkill Level
• 4.7+
• 641

Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.

• IntermediateSkill Level
• 4.4+
• 640

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.

• IntermediateSkill Level
• 4.3+
• 635

Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

• IntermediateSkill Level
• 4.6+
• 633

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

• IntermediateSkill Level
• 4.7+
• 620

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

• IntermediateSkill Level
• 4.7+
• 617

Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.

• IntermediateSkill Level
• 4.6+
• 611

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

• IntermediateSkill Level
• 4.4+
• 608

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

• IntermediateSkill Level
• 4.6+
• 607

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

• IntermediateSkill Level
• 4.6+
• 596

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

• IntermediateSkill Level
• 4.6+
• 594

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

• IntermediateSkill Level
• 4.6+
• 589

Learn to perform linear and logistic regression with multiple explanatory variables.

• IntermediateSkill Level
• 4.5+
• 580

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

• IntermediateSkill Level
• 4.6+
• 579

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

• IntermediateSkill Level
• 4.5+
• 579

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

• IntermediateSkill Level
• 4.5+
• 576

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

• IntermediateSkill Level
• 4.6+
• 566

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

• IntermediateSkill Level
• 4.6+
• 550

In this course, students will learn to write queries that are both efficient and easy to read and understand.

• IntermediateSkill Level
• 4.6+
• 547

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

• IntermediateSkill Level
• 4.5+
• 547

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

• IntermediateSkill Level
• 4.7+
• 544

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

• IntermediateSkill Level
• 4.6+
• 539

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

• IntermediateSkill Level
• 4.6+
• 537

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

• IntermediateSkill Level
• 4.6+
• 525

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

• IntermediateSkill Level
• 4.4+
• 517

Learn how to pull character strings apart, put them back together and use the stringr package.

• IntermediateSkill Level
• 4.7+
• 516

Analyze text data in R using the tidy framework.

• IntermediateSkill Level
• 4.6+
• 515

In this course, youll learn how to import and manage financial data in Python using various tools and sources.