Real-World Business Analysis and Statistics in Python

Files Included :

1 Importing Sales Dataset in Jupyter Notebook.mp4 (39.1 MB)
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2 Imputing missing values with scikit-learn method.mp4 (81.07 MB)
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3 Finding out and dealing with inconsistent values.mp4 (61.77 MB)
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4 Fixing wrong data types and assign the correct type.mp4 (40.34 MB)
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5 Dropping duplicates making dataset error free.mp4 (28.23 MB)
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1 Organinzing and Sorting dataset and finding insight.mp4 (30.87 MB)
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2 Conditional filtering, data splitting, data partitioning.mp4 (71.7 MB)
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3 Merge extra necessary variables to the dataset.mp4 (31.16 MB)
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4 Concatenating extra necessary data within existing data.mp4 (31.41 MB)
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1 Understand exploratory data analysis.mp4 (27.88 MB)
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2 Challenge 1 What is the country of residence for the majority of customers.mp4 (62.05 MB)
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3 Challenge 2 Find the descriptives of order value, cost and refund.mp4 (34.98 MB)
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4 Challenge 3 Find top 3 product categories based on both order value and cost.mp4 (65.89 MB)
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5 Challenge 4 Who are the most loyal customers of your superstore.mp4 (60.92 MB)
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6 Challenge 5 Which sales manager sold product that has the highest sales volume.mp4 (43.04 MB)
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7 Challenge 6 Find the relationship between order value, cost and refund amount.mp4 (27.09 MB)
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1 Various aspects of hypothesis testing in statistics.mp4 (30.43 MB)
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2 Understand confidence level, significance level and p-value.mp4 (27.46 MB)
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3 Understand complete steps in hypothesis testing.mp4 (29.81 MB)
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1 Testing normal distribution of numeric variables.mp4 (42.8 MB)
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2 Square root transformation for normal distribution conversion.mp4 (37.79 MB)
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3 Logarithmic transformation for normal distribution conversion.mp4 (37.04 MB)
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4 Box-cox transformation for normal distribution conversion.mp4 (37.88 MB)
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5 Yeo-Johnson transformation for normal distribution conversion.mp4 (41.61 MB)
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1 One - way ANOVA Testing the difference.mp4 (67.29 MB)
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2 Pearson correlation test Testing the relationship.mp4 (82.49 MB)
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3 Regression analysis Testing the influence.mp4 (103.8 MB)
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