Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.
Learn to streamline your machine learning workflows with tidymodels.
Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.
Learn the essentials of parsing, manipulating and computing with dates and times in R.
Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.
Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.
In this course youll learn about basic experimental design, a crucial part of any data analysis.
Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.
Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.
Learn survey design using common design structures followed by visualizing and analyzing survey results.
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.
Leverage the power of Python and PuLP to optimize supply chains.
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.
Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
In this course you will learn to fit hierarchical models with random effects.
Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.
Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.
In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.
Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.
Learn how to efficiently collect and download data from any website using R.
Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.
Discover how the Pinecone vector database is revolutionizing AI application development!
This course teaches the big ideas in machine learning like how to build and evaluate predictive models.
Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.
Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.
