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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
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-SquaredCurriculum
Instructor
Ramdas Menon has an M.Tech in chemical engineering from IIT-M, and was a Six Sigma Black Belt at GE and Pfizer before setting up Ekaagra. He holds two certifications from the ASQ - CSSBB and CRE - and has conducted programs on Statistical Methods including DOE at several corporates such as Huntsman, Pidilite, TVS Srichakra, Dr Reddys and MRF from 2008 onwards.
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Course Features
- Lectures 6
- Quizzes 0
- Duration 15 hours
- Skill level All levels
- Language English
- Students 59
- Assessments Yes