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- Learn how to prepare and organize your data for predictive analytics.
- In this course you'll learn how to apply machine learning in the HR domain.
- Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.
- Learn to create interactive graphics entirely in R with plotly.
- Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
- Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.
- Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.
- Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!
- Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.
- Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
- Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
- Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests.
