Life Insurance Products Valuation in R
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.
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Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.
Develop the skills you need to clean raw data and transform it into accurate insights.
Learn to streamline your machine learning workflows with tidymodels.
Learn how to use Python to analyze customer churn and build a model to predict it.
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.
Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.
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Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.
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Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.
Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.
Learn how to design and implement triggers in SQL Server using real-world examples.
Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.
Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.
In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.
Learn how to visualize time series in R, then practice with a stock-picking case study.
Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.
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Learn how to pull character strings apart, put them back together and use the stringr package.
Learn efficient techniques in pandas to optimize your Python code.
Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
Learn to process sensitive information with privacy-preserving techniques.
Learn to use the Census API to work with demographic and socioeconomic data.
In this course youll learn how to leverage statistical techniques for working with categorical data.
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.