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Grow your data skills, discover how to manipulate and visualize data, and apply advanced analytics to make data-driven decisions.

Master the SQL fundamentals needed for business, learn how to write SQL queries, and start analyzing your data using this powerful language.

Discover the fundamentals of AI, learn to leverage AI effectively for work, and dive into models like ChatGPT to navigate the dynamic AI landscape.

Data literacy isn't just for data specialists; it's a fundamental life skill that everyone needs.

Gain the essential skills you need to use Power BI. Create your own visualizations and dashboards from scratch. No prior experience required.

Level-up your R programming skills! Learn how to work with common data structures, optimize code, and write your own functions.

Gain the essential skills you need to use Excel, from preparing data to writing formulas and creating visualizations. No prior experience is required.

From prompt engineering to agentic systems—develop the complete skill set to build AI applications that scale, with an AI tutor by your side.

From understanding to data storytelling - gain valuable Data Literacy Skills to tackle the toughest data challenges.

Learn to create AI-powered applications with the latest AI developer tools, including the OpenAI API, Hugging Face, and LangChain.

Prepare for the GitHub Foundations Certification by learning the fundamentals of Git and GitHub: version control, collaboration, and branching.

Build your Python programming skills. Learn how to work with modules and packages, work with built-in data types, and write custom functions.

Accelerate your AI journey, conquer ChatGPT, and develop a comprehensive Artificial Intelligence strategy.

Learn the art of Machine Learning and come away as a boss at prediction, pattern recognition, and the beginnings of Deep and Reinforcement Learning.

Discover how AI agents can change how you work and deliver value for your organization!

Prepare for Amazon’s AWS Certified Cloud Practitioner (CLF-C02) by learning how to use and secure core AWS compute, database, and storage services.

Boost your business SQL skills. Learn how you can use SQL to quickly analyze data and build powerful reports to overcome business problems.

Prepare for Microsoft’s Azure Fundamentals certification (AZ-900) by learning the fundamentals of Azure: computing, storage, and networking.

Continue your machine learning journey into deep learning. Use the PyTorch library to create neural networks to model different data types.

Learn the essentials of Tableau and develop the skills you need to pass the Tableau Desktop Specialist certification. No prior experience required!

Explore the essentials of ChatGPT and prompt engineering. Master crafting prompts to maximize ChatGPT's capabilities.

Learn the fundamentals of Java and start building real-world applications with one of the most widely used programming languages in the world.

Acquire the skills necessary to master Alteryx Designer to pass the Alteryx Core Certification exam. No previous experience is required.

Take the pain out of data manipulation using pandas. You’ll learn how to transform, sort, and filter data in DataFrames, ready for quick analysis.

Level-up your programming skills. Learn how to optimize code, write functions and tests, and use best-practice software engineering techniques.

Acquire core competencies in Sigma through hands-on training - learn to make insights, AI apps, and governed analytics. No experience required.

Supercharge your Excel skills with Excel Power Tools: Master Power Query, Power Pivot, and the dynamic M Language.

This short track will take your dashboarding and reporting skills to the next level.

Get hands-on with Snowflake! Learn to query, model, and manage data in this interactive intro for data engineers, analysts, and BI professionals.

Confidently learn to calculate statistics and probability, evaluate statistical models, and draw conclusions from hypothesis tests.

Learn core data concepts, understand how to answer real-world questions using data, and become a more confident data-driven decision-maker.

Discover the art of data storytelling. Transform raw information into memorable narratives.

Master how to process big data and leverage it efficiently with Apache Spark using the PySpark API.

Learn the power of Docker and Kubernetes, this interactive track will allow you to build and deploy applications in modern environments.

Unlock the secrets of data governance: manage, secure, and protect data effectively.

Apply your Python skills to take on image data! From pre-processing to deep learning, you'll discover the many ways you can leverage image data.

Learn version control with Git from basics to advanced workflows. Track changes, manage repositories, and collaborate efficiently.

Learn how to transcribe, and extract exciting insights from books, review sites, and online articles with Natural Language Processing (NLP) in Python.

Supercharge your data science skills using Python's most popular and robust data visualization libraries.

Build reliable, scalable data pipelines with dbt Fundamentals, a hands-on track designed for data analysts, data engineers, analytics engineers.

Building APIs in Python teaches you to create and manage APIs with Python and FastAPI through practical, hands-on courses and projects.

Gain the introductory skills you need to make data-driven financial decisions in Python—using pandas, NumPy, statsmodels, and pyfolio libraries.

Master AI leadership with this track: monetize AI, build trust with Responsible and Explainable AI, and secure your innovations. Lead with confidence!

Learn how to build impactful LLM applications, including RAG workflows and agentic systems, using the LangChain framework!

Become a Google Sheets master. Learn the core skills you need to analyze data using Google Sheets.

Dive into the foundations of Machine Learning Operations (MLOps), learning the concepts of productionizing and monitoring machine learning models!

Write code and build software applications faster than ever before with the latest AI developer tools, including GitHub Copilot, Windsurf, and Replit.

Gain the essential skills you need to analyze financial data in Power BI.

Learn to develop large language models (LLMs) with PyTorch and Hugging Face, using the latest deep learning and NLP techniques.

Gain the starting SQL Server skills you need to summarize data, join tables, and analyze your data using SQL Server functions.

Begin creating AI systems using models from OpenAI. Learn how to use the OpenAI API to prompt OpenAI's GPT and Whisper models.

Gain the skills you need to manipulate, interpret, and visualize time series data in Python, using pandas, NumPy, and Matplotlib.

Discover the power of statistics in R. Learn the key statistical concepts, topics, and techniques used by data scientists and statisticians every day.

Gain the real-world data prepping skills you need to reveal the insights that matter! Discover how to import, clean, and work with APIs and web data.

Dive in and learn the key SQL Server skills you need to securely set-up, design, and maintain your business’s database.

Gain the database skills you need to become a confident, high-earning SQL DBA. Learn how to create, grow, and manage your PostgreSQL database.

Gain the Python skills you need to analyze marketing campaigns, drill into social media data, and use machine learning to predict customer churn.

Master the foundations of responsible AI. Gain essential ethics, data management, and compliance skills to govern AI across its entire lifecycle.

Learn KNIME Analytics Platform and prep for the L1 certification. Gain data preparation, transformation, and visualization skills to build workflows.

Master the most popular supervised machine learning techniques to begin making predictions with labeled data.

Develop AI-powered applications with Snowflake. Master data management and generative AI to create intelligent solutions in the cloud.

Start exploring the world of computational biology with essential Bioconductor packages and workflows for next-generation sequencing data analysis.

Find the latest open-source AI models, datasets, and apps, build AI agents, and fine-tune LLMs with Hugging Face. Join the biggest AI community today!

Import and tidy data, wrangle and visualize data, and model and communicate with data in R with the tidyverse.

Master the EU AI Act and AI fundamentals. Learn to navigate regulations and foster trust with Responsible AI.

Powerful toolkit for smarter decisions. Build, optimize, and evaluate decision models, avoid bias, and apply analytical thinking to real problems.

Master GDPR, data privacy, and security to safeguard data, ensure compliance, and build trust in a digital world.

Bring your data into focus with data visualizations in R using ggplot2. Learn the graphical and plot-building skills to tell better data stories.

Enhance your Python financial skills. Learn how to evaluate portfolios, calculate credit risk, and create GARCH models to forecast volatility.

Co-created with Corporate Finance Institute (CFI)—gain the finance and Python skills you need to enter the world of finance.

Explore Python-based statistical analysis to gain essential decision-making skills such as A/B testing and Bayesian models.

Master the fundamentals of object-oriented programming, including inheritance, polymorphism, type hinting, abstract base classes, and interfaces.

Master the fundamentals of reinforcement learning (RL) to create models that can navigate complex real-world environments and train LLMs.

Elevate your machine learning skills to production level with this focused skill track.

Take the pain out of data manipulation using dplyr and tidyr. Learn how to transform, sort, and filter your data, ready for quick analysis.

Build your knowledge of dates and times, regular expressions, and algorithms in Python!

Predict categorical and numeric responses via classification and regression, and discover the hidden structure of datasets with unsupervised learning.

Experiment with Llama 3 to run inference on pre-trained models, fine-tune them on custom datasets, and optimize performance.

Learn how to extract meaningful insights from time series data in R. Explore how to model, forecast, and visualize time series data.

Learn how to use Shiny, a popular R package, to build highly interactive web applications and share your analyses as dashboards and visualizations.

Expand your Google Sheet skills. Learn how data validation, statistics, and regular expressions can save you time with Excel and Sheets!

Boost your knowledge in cloud computing. Prepare for the Google Cloud Digital Leader certification exam with this program.

Take your machine learning skills to the next level. Use the Keras library to create and optimize neural networks to model complex data types.

Master data visualization with Plotly and Dash. Create interactive visualizations and dashboards and transform data into valuable business insights.

Gain the real-world skills you need to import and clean your data when working in R—making it possible for you to reveal the insights that matter.

A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

Discover text mining in R and learn how to extract exciting insights from tweets, product reviews, and books through sentiment analysis in R.

Grow the R skills you need to work with social media data, perform market basket analysis, and use machine learning to guide your marketing decisions.

A broad overview of Gen AI to understand how to leverage Gen AI and Google Cloud for organizational transformation.

Generate, explore, evaluate, and tune the parameters of different supervised machine learning models.

Work with big data in R via parallel programming, interfacing with Spark, writing scalable & efficient R code, and learn ways to visualize big data.

Discover Julia: fast, user-friendly language for all data tasks. Build from basics up to all things DataFrames, with no prior experience required!

Gain the introductory skills you need to make data-driven financial decisions in R—using the xts, zoo, tidyquant, and PortfolioAnalytics packages.

Grow your financial skills in R. Learn how to evaluate portfolios, calculate credit risk, and create GARCH models to forecast volatility.

You learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.

Build beautiful interactive maps, explore your data by zooming into and hovering over plots, and design engaging, dynamic charts in R.

Grow your financial Google Sheet skills. Learn how to build basic business models, use financial formulas, and create loan amortization schedules.

Learn to build machine learning models more effectively using more efficient code and clean data in the tidyverse.