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505 results

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.

ClockOver 3 hoursTagApplied FinanceUserJoshua MayhewLearncourse

Visualizing Time Series Data in R

Learn how to visualize time series in R, then practice with a stock-picking case study.

ClockOver 3 hoursTagData VisualizationUserArnaud AmsellemLearncourse

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.

ClockOver 3 hoursTagProbability & StatisticsUserJustin BoisLearncourse

Bayesian Regression Modeling with rstanarm

Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

ClockOver 3 hoursTagProbability & StatisticsUserJake ThompsonLearncourse

Case Study: Inventory Analysis in Tableau

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

Clock2-3 hoursTagData VisualizationUserIason PrassidesLearncourse

Conditional Formatting in Google Sheets

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

Clock2-3 hoursTagData ManipulationUserAdam SteinfurthLearncourse

Intermediate Portfolio Analysis in R

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

ClockOver 3 hoursTagApplied FinanceUserRoss BennettLearncourse

Hyperparameter Tuning in R

Learn how to tune your models hyperparameters to get the best predictive results.

ClockOver 3 hoursTagMachine LearningUserShirin Elsinghorst (formerly Glander) Learncourse

Programming with dplyr

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

ClockOver 3 hoursTagData ManipulationUserDr. Chester IsmayLearncourse

Bayesian Modeling with RJAGS

In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

ClockOver 3 hoursTagProbability & StatisticsUserAlicia JohnsonLearncourse

MLOps for Business

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

ClockOver 3 hoursTagMachine LearningUserArne WarnkeLearncourse

Building Dashboards with flexdashboard

In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

ClockOver 3 hoursTagReportingUserElaine McVeyLearncourse

Intermediate Network Analysis in Python

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

ClockOver 3 hoursTagProbability & StatisticsUserEric MaLearncourse

Bond Valuation and Analysis in R

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

ClockOver 3 hoursTagApplied FinanceUserClifford AngLearncourse

Pandas Joins for Spreadsheet Users

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

ClockOver 3 hoursTagData ManipulationUserJohn MillerLearncourse

Loan Amortization in Google Sheets

Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.

ClockOver 3 hoursTagApplied FinanceUserBrent AllenLearncourse

Intermediate Julia

Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.

ClockOver 3 hoursTagSoftware DevelopmentUserAnthony MarkhamLearncourse

Interactive Data Visualization with Bokeh

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

ClockOver 3 hoursTagData VisualizationUserGeorge BoormanLearncourse

GARCH Models in R

Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

ClockOver 3 hoursTagApplied FinanceUserKris BoudtLearncourse

Forecasting Product Demand in R

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.

ClockOver 3 hoursTagProbability & StatisticsUserAric LaBarrLearncourse

Market Basket Analysis in R

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

ClockOver 3 hoursTagData ManipulationUserChristopher BruffaertsLearncourse

Analyzing US Census Data in R

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

ClockOver 3 hoursTagExploratory Data AnalysisUserKyle WalkerLearncourse

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