INTRODUCTION TO DATA SCIENCE-LECTURE 1
INTRODUCTION TO PYTHON-LECTURE 2
PYTHON SPECIFIC EDITORS-LECTURE 3
KEYWORDS AND IDENTIFIERS OF PYTHON-LECTURE 4
VARIABLES AND DATA TYPES OF PYTHON-LECTURE 5
OPERATORS OF PYTHON-LECTURE 6
Python if...else Statement-LECTURE 7
Python while Loop-LECTURE 8
Python for Loop-LECTURE 9
Python break and continue statements-LECTURE 10
Python Input and Output -LECTURE 11
Python Strings-LECTURE 12
Python Lists-LECTURE 13
Python TUPLES-LECTURE 14
Python SETS-LECTURE 15
Python Dictionaries-LECTURE 16
Python Arrays-Lecture 17
Python function arguments- Lecture 18
Python Built-in Functions-LECTURE 19
Python Lambda Function-LECTURE 20
Python Modules-LECTURE 21
Python Packages-LECTURE 22
Python Files-LECTURE 23
Python Debugging-LECTURE 24
Python Exceptions-LECTURE 25
Python Numpy-1-LECTURE 26
Python NumPy-2-LECTURE 27
Python Numpy-3-LECTURE 28
Python NumPy-4-LECTURE 29
Python NumPy-5- LECTURE 30
Python NumPy-6-LECTURE 31
Python NumPy-7
Python NumPy-8
Reading Data with Python-LECTURE 34
pandas-1-LECTURE 35
pandas-2-LECTURE 36
pandas-3-LECTURE 37
pandas Data Frames-1-LECTURE 38
pandas5 -DataFrames-2-LECTURE 39
pandas-6-DataFrames-3-lecture 40
pandas-7-LECTURE 41
pandas-8-LECTURE 42
pandas-9-LECTURE 43
pandas 10 LECTURE 44
pandas-11-LECTURE 45
pandas-12-LECTURE 46
Data Visualization-1-LECTURE 47
Data Visualization-2-LECTURE 48
Data Visualization-3-Lecture 49
Data Visualization-4-LECTURE 50
Data Visualization-5-LECTURE 51
Data Visualisation-6 LECTURE 52
Data Visualization-7-LECTURE 53
Data Visualization-8-LECTURE 54
Data Visualization-9-LECTURE 55
Data Visualization-10-LECTURE 56
Data Visualization-11-LECTURE 57
Data Visualization-12-LECTURE 58
Data Visualization-13-LECTURE 59
Data Visualization-14-LECTURE 60
Data Visualization-15-LECTURE 61
Data Visualization-16-LECTURE 62
Data Visualization-17-LECTURE 63
Data Visualization-18-LECTURE 64
Probability and Statistics-1-LECTURE 65
Introduction to Descriptive Statistics-1- LECTURE 66
Introduction to Descriptive Statistics-2
-LECTURE 67
Introduction to Descriptive Statistics-3-LECTURE 68
Central Tendency-Median-LECTURE 69
Central Tendency Mean and Median Demo-LECTURE 70
Mean and Median Outlier-LECTURE 71
Central Tendency Mode-LECTURE 72
Choosing Central Tendency-LECTURE 73
Skewness by Pandas-LECTURE 74
Skewness by SciPy-LECTURE75
SKEWNESS OF A DISTRIBUTION-LECTURE76
KURTOSIS-LECTURE 77
KURTOSIS by Pandas and SciPy-LECTURE 78
PERCENTILES-LECTURE 79
Calculating Percentiles by Numpy and Pandas-LECTURE 80
Calculating Percentiles by SciPy and Stats Models-LECTURE81
DISPERSION-LECTURE 82
RANGE-LECTURE83
MEAN ABSOLUTE DEVIATION-LECTURE 84
VARIANCE AND STANDARD DEVIATION-LECTURE 85
VARIANCE AND STANDARD DEVIATION by pandas-LECTURE86
COVARIANCE AND VARIANCE-LECTURE 87
COVARIANCE AND VARIANCE-2-LECTURE 88
PEARSON'S COEFFICIENT OF CORRELATION LECTURE-89
SPEARMAN'S RANK CORRELATION COEFFICIENT-LECTURE 90
BIVARIATE AND MULTIVARIATE DESCRIPTIVE STATISTICS-LECTURE 91
Demo on COVARIANCE AND CORRELATION-LECTURE 92
COVARIANCE MATRIX, CORRELATION MATRIX and HEAT MAP-LECTURE 93
CALCULATION of BIVARIATE & MULTIVARIATE by SciPy and StatsModels-1-LECTURE 94
Calculation of BIVARIATE and MULTIVARIATE by SciPy and StatsModels-LECTURE 95
INTRODUCTION TO PROBABILITY DISTRIBUTION-LECTURE 96
SAMPLE SPACE AND RANDOM VARIABLE-LECTURE 97
DISCRETE RANDOM VARIABLE AND CONTINUOUS RANDOM VARIABLE-LECTURE 98
PROBABILITY MASS FUNCTION-LECTURE 99
MEAN AND VARIANCE OF DISCRETE RANDOM VARIABLE-LECTURE 100
NORMAL DISTRIBUTION-LECTURE 101
NORMAL DISTRIBUTION-LECTURE 102
NORMAL DISTRIBUTION - LECTURE 103
Empirical Rule(68-95-99.7 rule) for Normal Distribution-LECTURE 104
68-95-99.7 Rule Example-LECTURE 105
CUMULATIVE DISTRIBUTION FUNCTION-LECTURE 106
CUMULATIVE DISTRIBUTION FUNCTION-2-LECTURE 107