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Complete Statistics for Data Science & Business Analytics
Introduction
Statistics and Descriptive Statistics (10:19)
Statistical Inference (7:57)
Data Warehousing and Data Mining (9:31)
Applications of Statistics and some definitions (10:18)
Scales of measurement and Categorical vs Quantitative Data (15:22)
Cross sectional, Time Series and Data Sources (7:14)
Experimental, Observational Studies and Ethics (9:42)
Descriptive Statistics - Graphical and Tabular Presentation of Data
Learning Goals for Section 2 (3:44)
Summarizing Data and Frequency Distributions (10:51)
Bar Charts, Pareto Diagrams & Pie Charts (13:19)
Steps to draw Frequency Distributions (19:11)
Dot Plots, Histograms and Skewness (17:13)
Cumulative Distributions and Ogives (16:04)
Stem & Leaf Displays (28:02)
Cross-tabulation (20:27)
Scatter Diagrams, Trendlines and Summary (11:17)
Measures of Variation in Data
Sample and Population Mean (5:40)
Median and Mode (6:04)
Percentile and Quartile (11:15)
Variability - Range and Interquartile Range (7:15)
Variability - Variance, Standard Deviation and Coefficient (10:23)
Skewness (5:15)
Z-scores and Chebyshev's Theorem (13:45)
Empirical Rule and Outliers (8:45)
Five Number Summary & Box Plot (13:56)
Stem & Leaf Displays
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