Machine Learning in the Tidyverse
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.
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Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.
Learn to process sensitive information with privacy-preserving techniques.
Learn how to load, transform, and transcribe speech from raw audio files in Python.
Learn how to build a model to automatically classify items in a school budget.
Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.
Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.
Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.
Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.
Use survival analysis to work with time-to-event data and predict survival time.
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.
Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.
Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.
Learn to build pipelines that stand the test of time.
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.
Are you curious about the inner workings of the models that are behind products like Google Translate?
Learn Java from the ground up with this beginner-friendly course, mastering essential programming concepts and skills.
Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.
Learn about experimental design, and how to explore your data to ask and answer meaningful questions.
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.
Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.
Learn how to produce interactive web maps with ease using leaflet.
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Learn how to pull character strings apart, put them back together and use the stringr package.
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.