Statistics Mathematics for Data Science Data Analytics

Statistics & Mathematics for Data Science & Data Analytics

Learn the statistics & probability for data science and business analysis

This course is giving you the chance to systematically master the core concepts in statistics & probability, descriptive statistics, hypothesis testing, regression analysis, analysis of variance and some advance regression / machine learning methods such as logistics regressions, polynomial regressions , decision trees and more. In real-life examples you will learn the stats knowledge needed in a data scientist’s or data analyst’s career very quickly.

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What you’ll learn

  • Master the fundamentals of statistics for data science & data analytics
  • Master descriptive statistics & probability theory
  • Machine learning methods like Decision Trees and Decision Forests
  • Probability distributions such as Normal distribution, Poisson Distribution and more
  • Hypothesis testing, p-value, type I & type II error
  • Logistic Regressions, Multiple Linear Regression, Regression Trees
  • Correlation, R-Square, RMSE, MAE, coefficient of determination and more

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