Financial Trading in R
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.
Siga videos cortos dirigidos por instructores expertos y luego practique lo que ha aprendido con ejercicios interactivos en su navegador.
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
Learn to easily summarize and manipulate lists using the purrr package.
In this course youll learn how to apply machine learning in the HR domain.
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.
Learn the bag of words technique for text mining with R.
In this course youll learn techniques for performing statistical inference on numerical data.
Advance you R finance skills to backtest, analyze, and optimize financial portfolios.
Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
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 perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.
Learn to analyze, plot, and model multivariate data.
Learn how to prepare and organize your data for predictive analytics.
Learn how to tune your models hyperparameters to get the best predictive results.
Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.
Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.
Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.
You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!
Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.
Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!