Statistics: Programming for Data Science

Utbildningsfakta

Kod: STAN48

<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>

Behörighet

90 credits in Statistics, or a total of 90 credits i Mathematics, Programming, Mathematical Statistics and Statistics, of which at least 45 credits in Statistics or Mathematical Statistics, or the equivalent.

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

• Statistics: Programming for Data Science

  Lund University

  Startdatum: 31 augusti 2026

  Slutdatum: 1 november 2026

  Studietakt: 50 %