Bond Valuation and Analysis in Python
Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
Learn how to visualize time series in R, then practice with a stock-picking case study.
Learn to easily summarize and manipulate lists using the purrr package.
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
In this course youll learn how to apply machine learning in the HR domain.
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.
Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Advance you R finance skills to backtest, analyze, and optimize financial portfolios.
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
Learn how to tune your models hyperparameters to get the best predictive results.
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.
Learn to analyze, plot, and model multivariate data.
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.
Learn how to prepare and organize your data for predictive analytics.
Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.
Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.
You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!
Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
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.
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.