Statistical Fundamentals of Data Science Part-1 (SFDS-01)
Learn to analyze and visualize data in R and gain proficiency in descriptive statistics, probability, hypothesis testing, and regression.
Overview
Learn to analyze and visualize data in R and gain proficiency in descriptive statistics, probability, hypothesis testing, and regression. The course provides a comprehensive guide to statistical essentials. Elevate your data analysis skills and learn to make informed decisions.
What You Will Learn
Part-1: Introduction to R
– Basic Operations in R – Objects and Functions
– Graphical Visualization of Data
Part-2: Probability and Probability Distributions
– Probability: Conditional Probability and Bayes’ Theorem
– Probability Distributions: Binomial, Poisson and Normal
– Descriptive Statistics: Central Tendency, Dispersion, Skewness and Kurtosis
Part-3: Sampling Distributions and Hypothesis Testing
– T-Distribution
– Confidence Intervals
– Type-I and Type-II errors
– T-tests and ANOVA
Part-4: Hypothesis Testing (cont’d)
– Correlation and Regression
– F-Test and Homogeneity of Variance
– Chi-Squared