| Code |
Course Name |
Language |
Type |
| YZV 231E |
Probability and Statistics for Data Science |
English |
Compulsory |
| Local Credits |
ECTS |
Theoretical |
Tutorial |
Laboratory |
| 4 |
7.5 |
4 |
0 |
0 |
| Course Prerequisites and Class Restriction |
| Prerequisites |
None |
| Class Restriction |
None |
| Course Description |
| Sample Space and Probability, Probabilistic Models, Bayes Theorem, Independence, Discrete
Random Variables, Expectation and Variance, Continuous Random Variables, Probability
Distributions, Normal Random Variables, Covariance and Correlation, Markov and Chebyshev
Inequalities, Law of Large Numbers, Central Limit Theorem, Stochastic Processes, Markov
Chains, Bayesian and Frequentist Statistic, Hypothesis Testing, Parameter Estimation, Linear
Models, Least Squares Analysis, Applications and Case Studies in Data Science. |
|
