Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
Learn how to design Power BI visualizations and reports with users in mind.
Learn about ARIMA models in Python and become an expert in time series analysis.
Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.
In this course, youll learn the basics of relational databases and how to interact with them.
Learn to implement distributed data management and machine learning in Spark using the PySpark package.
Learn techniques to extract useful information from text and process them into a format suitable for machine learning.
This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.
In this course you will learn to fit hierarchical models with random effects.
Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!
Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.
Learn to work with Microsoft Copilot. Master prompting, navigate Microsoft 365 apps, and build custom agents.
Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.
Learn to manipulate and analyze flexibly structured data with MongoDB.
Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.
In this course, youll learn how to import and manage financial data in Python using various tools and sources.
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.
Prepare for your next coding interviews in Python.
Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.
Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.
Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
This course will show you how to integrate spatial data into your Python Data Science workflow.