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Any data analysis is incomplete without statistics. After getting the data, any statistical analysis starts with descriptive statistics which aims to extract the information hidden inside the data. The tools of descriptive statistics are based on mathematical and statistical functions which are to be evaluated using the software. The statistical software are paid as well as free. Most of the statistical software are paid software. A popular free statistical software is R. What are the basic tools of descriptive statistics and how to use the R software for descriptive statistical analysis is the objective of the course to be taughtINTENDED AUDIENCE:UG students of Science and Engineering. Students of humanities with basic mathematical and statistical background can also do it. Working professionals in analytics can also do it.PRE-REQUISITES:Mathematics background up to class 12 is needed. Some minor statistics background is desirableINDUSTRIES SUPPORT :All industries having R & D set up will use this course.
Overview
Syllabus
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Week 1: Calculations with R Software
Week 2: Introduction to Descriptive Statistics, frequency distribution
Week 3: Graphics and Plots
Week 4: Central Tendency of Data
Week 5: Variation in Data
Week 6: Moments, Association of Variables
Week 7: Association of Variables
Week 8: Association of Variables, Fitting of Linear Models
