Descriptive Statistics | I EDA 4 You
99 videos • 345 views • by nDimensionsAI
Descriptive Statistics | I EDA 4 You
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1 Road map to learn statistics and descriptive statistics
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2 Exploring the Multifaceted Applications of Descriptive Statistics
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3 How Data Scientists Harness Descriptive Statistics for Data Analysis and Insights
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4 Population vs Sample in Statistics and Data Analysis
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5 The Power of Descriptive Statistics in Assessing Group data
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6 A Comprehensive Overview Types of Descriptive Statistics for Data Analysis and Interpretation
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7 organizing data Data Sorting
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8 organizing data Data Categorization
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9 organizing data Data Categorization
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9 1 Data Tabulation Frequency Distribution
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9 2 Data Tabulation Relative Frequency Distribution
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9 3 Data Tabulation Grouped Relative Frequency Distribution
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9 4 Data Tabulation Grouped Relative Frequency Distribution
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10 organizing data Data Visualization
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10 1 Data Visualization Histogram
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11 intoruduction to Summarizing Data
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12 1 Measures of central tendency Mean
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12_1_1 understanding mean in detail
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12_2 Measures of central tendency Median
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12_2_1 understanding median in detail
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12_3 Measures of central tendency Mode
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12_3_1 understanding Mode in detail
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13 Introducing Summarizing data navigational map and measures of dispersion
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13_1 Measures of spread Range
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13_2 Measures of spread IQR
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13_3 Measures of spread Variance
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13_3_1 Measures of spread Calculating Variance
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13_4 Measures of spread Standard deviation
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13_4_1 Measures of spread Standard deviation in detail
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13_4_2 Practical Application for Understanding Variance and Standard Deviation
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13_5 Measures of spread Mean Absolute Deviation
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14 Introducing Summarizing data navigational map and measures of shape
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14_1 Measures of shape Skewness
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14_2 Measures of shape Kurtosis
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14_3 Measures of shape Histogram
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15 Introducing Summarizing data navigational map and Percentiles
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15_1 Understanding Percentiles
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15_2 Understanding Quartiles
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15_3 Understanding Deciles
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16 Introducing Summarizing data navigational map and Measures of Association
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16_1_1 Measures of Association Correlation
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16_1_2 types of Correlation coefficients
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16_1_3 Limitations of correlation
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16_1_4 examples of correlation
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16_2_1 Measures of association CoVariance
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16_2_2 types of CoVariance
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16_2_3 more about the correlation
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16_2_4 covariance vs correlation
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16_3 measures of association Scatter Plots
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16_3_1 When you should use a scatter plot
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16_3_2 Exploring measures of Association on real-world data sets
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16_4 measures of association Cross tabulation
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16_4_1 When should you use cross tabulation
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16_4_2 Benefits of cross-tabulation
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16 4 3 Exploring Cross tabulation on real world data sets
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16_5 measures of association Chi-Square test
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17 types of descriptive statistics navigational maps and additional categories
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18 Introducing Additional categories navigational map and Data Reduction techniques
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18_1_1 Data Reduction Sampling
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18_1_2 Data Reduction Aggregations
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18_1_3 Data Reduction Dimensionality reduction
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18_1_3_1 Benefits of Dimensionality Reduction
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18_2 Introducing Data Transformation and Additional categories navigational map
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18_2_1 Data Transformation Normalization
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18_2_2 Decimal scaling method for normalization
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18_2_3 Min Max scaling method for normalization
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18_2_4 z score method for normalization
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18_2_5 Advantages and Disadvantages of Normalization
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18_3 Data transformation Standardization
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18_3_1 Normalization vs Standardization
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18_4 Data transformation Log Transformation
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18_5 Data transformation Data Encoding and Types of Encoding
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18_5_1 Label encoding or Ordinal encoding
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18_5_2 OneHot encoding
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18_5_3 Dummy encoding and OneHot vs dummy encoding
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18_5_4 Effect encoding
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18_5_5 Hash Encoding
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18_5_6 Binary Encoding
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18_5_7 Target Encoding
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18_5_8 Base N Encoding
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19 Introducing Additional categories of the navigational map and Outlier Detection techniques
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19_1 Outlier detection z score method
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19_2 Outlier detection Interquartile method
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19_3 Outlier detection box whisker plot method
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19_4 Outlier detection mahalanobis distance method
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20 revisiting Additional categories navigational map and Data imputation techniques
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20_1 Why do we need to do imputations
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20_1_1 Introduction to mean median mode imputation and examples of mean imputation
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20_1_2 trimmed mean and median imputation
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20_1_3 mode imputation
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20_2 data imputation forward fill
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20_2_1 data imputation backward fill
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20_3 data imputation Regression imputation
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20_4 data imputation K Nearest Neighbor imputation
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20_5 data imputation Hot deck imputation
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20_7 list wise deletion method
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20_8 Impute NaN with ‘0’ or ‘Unknown’ or ‘Others’ values
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20_9 Drop columns if 60% of data is missing
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21 wrap-up of descriptive statistics
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