UNIT I        INTRODUCTION                                                                                                                       

Data Science: Benefits and uses ᎓ facets of data ᎓ Data Science Process: Overview ᎓ Defining research goals ᎓ Retrieving data ᎓ Data preparation ᎓ Exploratory Data analysis ᎓ build the model᎓presenting findings and building applications᎓Data Mining᎓Data Warehousing᎓Basic Statistical descriptions of Data

UNIT II     DESCRIPTIVE STATISTICS                                                                                                      

Introduction – Data Types and Scales – Population and Sample -Measures of Central Tendency – Measures of Variation – Measures of Shape – Data Visualization

UNIT III   PROBABILITY THEORY                                                                                                       

Probability Theory- Axioms of Probability – Bayes᎙ Theorem – Random Variables – Probability Density Function & Cumulative Distribution Function-Random Variable-Binomial Distribution

-Normal Distribution-Chi-Square Distribution

UNIT IV   DESCRIBING RELATIONSHIPS                                                                                                

Correlation᎓Scatter plots᎓correlation coefficient for quantitative data᎓com****tional formula for correlation coefficient᎓Regression᎓regression line᎓least squares regression line᎓Standard error of estimate

UNIT V DATA VISUALIZATION                                                                                                                 

Importing Matplotlib᎓Line plots᎓Scatter plots᎓visualizing errors᎓ density and contour plots ᎓ Histograms ᎓ legends ᎓ colors ᎓ subplots ᎓ text and annotation ᎓ customization ᎓ three dimensional plotting ᎓Visualization with Seaborn