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.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.
Learn to create animated graphics and linked views entirely in R with plotly.
Continue learning with purrr to create robust, clean, and easy to maintain iterative code.
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.
Are you curious about the inner workings of the models that are behind products like Google Translate?
Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
Learn to build simple models of market response to increase the effectiveness of your marketing plans.
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.
Learn A/B testing: including hypothesis testing, experimental design, and confounding variables.
Predict employee turnover and design retention strategies.
Use C++ to dramatically boost the performance of your R code.
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.