Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.7+
• 748

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

• IntermediateSkill Level
• 4.7+
• 736

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

• IntermediateSkill Level
• 4.6+
• 736

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

• IntermediateSkill Level
• 4.4+
• 734

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

• IntermediateSkill Level
• 4.3+
• 734

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

• IntermediateSkill Level
• 4.8+
• 732

Learn to manipulate and analyze flexibly structured data with MongoDB.

• IntermediateSkill Level
• 4.5+
• 728

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

• IntermediateSkill Level
• 4.5+
• 715

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

• IntermediateSkill Level
• 4.7+
• 694

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

• IntermediateSkill Level
• 4.4+
• 691

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

• IntermediateSkill Level
• 4.6+
• 681

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

• IntermediateSkill Level
• 4.6+
• 678

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

• IntermediateSkill Level
• 4.4+
• 655

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

• IntermediateSkill Level
• 4.4+
• 651

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

• IntermediateSkill Level
• 4.6+
• 646

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

• IntermediateSkill Level
• 4.4+
• 644

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

• IntermediateSkill Level
• 4.6+
• 643

Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

• IntermediateSkill Level
• 4.7+
• 630

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

• IntermediateSkill Level
• 4.6+
• 629

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

• IntermediateSkill Level
• 4.7+
• 628

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

• IntermediateSkill Level
• 4.6+
• 621

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

• IntermediateSkill Level
• 4.7+
• 619

Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

• IntermediateSkill Level
• 4.6+
• 619

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

• IntermediateSkill Level
• 4.5+
• 616

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+
• 600

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

• IntermediateSkill Level
• 4.5+
• 599

Learn how to detect fraud using Python.

• IntermediateSkill Level
• 4.2+
• 596

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

• IntermediateSkill Level
• 4.4+
• 579

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

• IntermediateSkill Level
• 4.7+
• 578

Learn the core techniques necessary to extract meaningful insights from time series data.

• IntermediateSkill Level
• 4.4+
• 574

Learn how to identify, analyze, remove and impute missing data in Python.