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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.
Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.
Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.
Learn to easily summarize and manipulate lists using the purrr package.
Learn how to tune your models hyperparameters to get the best predictive results.
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.
This course will show you how to combine and merge datasets with data.table.
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.
Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
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.
In this course youll learn how to apply machine learning in the HR domain.
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!
In this course youll learn how to use data science for several common marketing tasks.
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.
Learn how to prepare and organize your data for predictive analytics.
Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network