Statistics: Programming for Data Science

<p>Want to improve your programming skills and learn how code is used in statistics and data science? This course gives you hands-on experience with R and Python - two of the most widely used languages in modern data analysis.</p><p>This course introduces you to modern statistical programming in data science. You’ll learn how to use R and Python to solve practical problems and implement key statistical methods. Topics include:</p><ul><li>statistical packages and modules in R and Python</li><li>data handling using data frames, arrays and matrices</li><li>random number generation and simulation</li><li>Monte Carlo methods for integration, inference and variance reduction</li><li>bootstrap and other resampling techniques</li><li>Bayesian analysis and MCMC methods</li><li>numerical methods and optimisation.</li></ul>