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- This course is designed to get you up to speed with the most important and powerful methodologies in statistics.
- Learn to use the Bioconductor package limma for differential gene expression analysis.
- Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in Python.
- Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.
- This course teaches you the skills and knowledge necessary to create and manage your own PostgreSQL databases.
- Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
- Learn how to build an amortization dashboard in spreadsheets with financial and conditional formulas.
- Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
- In this course you'll learn to use and present logistic regression models for making predictions.
- Learn the language of data, study types, sampling strategies, and experimental design.
- Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.
- Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.
- Learn to perform linear and logistic regression with multiple explanatory variables.
- Using Python and NumPy, learn the most fundamental financial concepts.
