This course will introduce beginners to programming to the basics of coding and statistical analysis in R. Participants will learn to handle data, visualize it and perform statistical operations like hypothesis testing and regressions on fairly structured data.
Basic understanding of Statistics
Anyone who wants to familiarise themselves with R programming and utilise data for critical analysis
Assistant Professor, MDAE
Dr. Sandhya Krishnan has taught data analytics and R programming at various places across India, and to a wide range of audiences including undergraduate and graduate students, faculty and other professionals. She believes that interesting stories are hidden behind numbers and anyone with a flair for numbers and the right training in data analytics can unravel these stories and present them to the world. She holds a Ph.D. from the University of Amsterdam and an MA in Economics from the University of Mumbai.
Assistant Professor, Fergusson College
Dr. Ishita Ghoshal teaches Macroeconomics, Econometrics and Mathematical Economics and conducts workshops on research methods, computer applications for Economics, applied Econometrics with various software like R, EViews, STATA, etc. Her areas of interest are Macroeconomics, Applied Econometrics and International trade. She holds a Ph.D. in Economics from the Gokhale Institute of Politics and Economics.
Introduction to R (Downloading R, working on vectors, importing data, descriptive statistics)
Graphics with R
Probability distributions – Binomial and Poisson
Probability Distributions – Normal and standard normal distribution
Hypothesis testing, Z test, chi-square
Hypothesis testing F and T distributions
OLS regression Bi-variate
Violation of OLS assumptions- autocorrelation
Violation of OLS assumptions- heteroscedasticity
MDAE alumni working in diverse roles across leading companies.
Trainee Decision Scientist
Senior Research Analyst
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