Case Studies in Statistical Thinking
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.
Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
Learn to process sensitive information with privacy-preserving techniques.
Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!
Learn to analyze and model customer choice data in R.
Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
Learn to build simple models of market response to increase the effectiveness of your marketing plans.
Learn to create animated graphics and linked views entirely in R with plotly.
Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training
Are you curious about the inner workings of the models that are behind products like Google Translate?
Learn how to tune your models hyperparameters to get the best predictive results.
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
Interact with a customized GPT and use your prompting skills to plan and open your restaurant.
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.
Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.
Learn to detect fraud with analytics in R.
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.
Learn defensive programming in R to make your code more robust.
Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.
Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.
Predict employee turnover and design retention strategies.
Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.
Use C++ to dramatically boost the performance of your R code.