DATA SCIENCE MADE EASY -ENG Course Content 01 INTRODUCTION TO DATA SCIENCE 02 ENVIRONMENT SETUP FOR DATA SCIENCE 03 KNOWLEDGE ABOUT FUNCTIONS AND LIST 04 KNOWLEDGE ABOUT TUPLE AND DICTIONARIES 05 KNOWLEDGE ABOUT TEXT FILE AND BINARY FILES 06 KNOWLEDGE ABOUT CSV FILE AND NUMY 07 KNOWLEDGE ABOUT PANDAS AND DATA VISUALIZATION 08 MODE OF DATA 09 UNDERSTANDING VARIOUS VARIABLE TYPES 10 MEAN OF THE DATA 11 MEDIAN AND DATA SPREAD 12 VARIENCE 13 STANDARD DEVIATION AND FREQUENCY TABLE 14 INTRODUCTION TO PROBABILITY 15 BERNAULLI_S TRIALS 16 NORMAL DISTRIBUTION 17 Z-SCORES 18 CENTRAL LMIT THEOREM 19 CONFIDENCE INTERVAL AND MARGIN OF ERROR 20 HYPOTHESIS TESTING -1 21 HYPOTHESIS TESTING-2 22 PAIRED T TEST 23 CHI SQUARED TEST 24 CORRELATION AND COARIENCE 25 INTRODUCTION TO PREDICTIVE MODELLING 26 STAGES OF PREDICTIVE MODELLING 27 DATA EXPLORATION 28 VARIABLE IDENTIFICATION 29 UNIVARIATE VARIABLE 30 ADDRESSBOOK - 1 31 ADDRESSBOOK - 2 32 FRUIT NINJA 33 FRUIT NINJA 34 ENCODE-DECODE 35 ENCODE-DECODE 36 JUMP KEYBOARD 37 JUMP KEYBOARD 38 CURRENCY CONVERTER 39 CURRENCY CONVERTER 40 MADLIB