Data, AI, and Cloud Courses

• BasicSkill Level
• 4.5+
• 679

Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.

• AdvancedSkill Level
• 4.6+
• 675

Prepare for your next coding interviews in Python.

• AdvancedSkill Level
• 4.6+
• 665

Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.

• IntermediateSkill Level
• 4.6+
• 662

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

• IntermediateSkill Level
• 4.6+
• 655

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

• BasicSkill Level
• 4.5+
• 652

Master strategic data management for business excellence.

• IntermediateSkill Level
• 4.4+
• 635

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
• 4.5+
• 634

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

• IntermediateSkill Level
• 4.3+
• 634

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

• BasicSkill Level
• 4.6+
• 633

Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.

• BasicSkill Level
• 4.5+
• 632

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

• BasicSkill Level
• 4.7+
• 629

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

• IntermediateSkill Level
• 4.7+
• 627

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

• BasicSkill Level
• 4.8+
• 622

Learn essential finance math skills with practical Excel exercises and real-world examples.

• BasicSkill Level
• 4.7+
• 622

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

• IntermediateSkill Level
• 4.7+
• 616

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

• BasicSkill Level
• 4.6+
• 615

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

• IntermediateSkill Level
• 4.6+
• 615

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

• IntermediateSkill Level
• 4.7+
• 612

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

• BasicSkill Level
• 4.5+
• 607

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

• IntermediateSkill Level
• 4.6+
• 605

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

• IntermediateSkill Level
• 4.3+
• 605

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

• IntermediateSkill Level
• 4.6+
• 603

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

• AdvancedSkill Level
• 4.7+
• 599

Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.

• IntermediateSkill Level
• 4.7+
• 598

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

• IntermediateSkill Level
• 4.6+
• 585

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

• IntermediateSkill Level
• 4.5+
• 584

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

• BasicSkill Level
• 4.3+
• 582

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

• IntermediateSkill Level
• 4.6+
• 580

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+
• 572

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