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- Learn how to visualize time series in R, then practice with a stock-picking case study.
- Learn how to visualize big data in R using ggplot2 and trelliscopejs.
- Use survival analysis to work with time-to-event data and predict survival time.
- Are you curious about the inner workings of the models that are behind products like Google Translate?
- Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.
- Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
- Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
- 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.
