Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.
Take your reporting skills to the next level with Tableau’s built-in statistical functions.
Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
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.
Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPTs full potential.
Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.
Using Python and NumPy, learn the most fundamental financial concepts.
Transform almost any dataset into a tidy format to make analysis easier.
Learn the fundamentals of data visualization using Google Sheets.
Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.
Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.
In this course, youll learn the basics of relational databases and how to interact with them.
Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.
Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.
Learn to perform linear and logistic regression with multiple explanatory variables.
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.
In this course, students will learn to write queries that are both efficient and easy to read and understand.
Learn to manipulate and analyze flexibly structured data with MongoDB.
Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.
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!
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.
Visualize seasonality, trends and other patterns in your time series data.
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.
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.
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.
