Slicing, Stacking

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In this video, let's do some slicing and stacking using NumPy.

Contents

1: Welcome to Math and Statistics Experience

1.1: Importance of Math and Stats in Data Science Career

1.2: How Is This Course Different from Other Courses on the Internet?

1.3: What Support Do You Provide If I Have Questions?

1.4: Who Should Take This Course?

1.5: Pre-requisites

1.6: System Requirements

1.7: Course Overview

2: Enhance your Learning Experience

2.1: Join Discord for doubt clearing support & networking

2.2: Setting Video Resolution and Video Speed Globally

3: Data & Visualization Basics

3.1: Types of Data

3.2: Pie Chart and Bar Chart

3.3: Quiz

3.4: Histograms and Line Chart

3.5: Quiz

3.6: Scatter and Bubble Plot

3.7: Quiz

3.8: Univariate vs. Bivariate vs. Multivariate Analysis

3.9: Chapter Summary

4: NumPy New

4.1: Introduction and Benefits

4.2: Basic Operations

4.3: Matrix Operations

4.4: Slicing, Stacking

4.5: Quiz

4.6: Exercise

5: Pandas, Matplotlib and Seaborn Basics

5.1: Pandas Introduction and Installation

5.2: Dataframe Basics

5.3: Read, Write Excel and CSV Files

5.4: Handle Missing Data - Part 1

5.5: Handle Missing Data - Part 2

5.6: Grouping Data

5.7: Data Concatenation and Merging

5.8: Data Visualization with Matplotlib and Seaborn

6: Measures Of Central Tendency and Dispersion

6.1: Descriptive vs. Inferential Statistics

6.2: Measures of Central Tendency: Mean, Median, Mode

6.3: Percentile

6.4: Analysis: Shoe Sales (Using Mean, Median, Percentile)

6.5: Quiz

6.6: Exercise

6.7: Measures of Dispersion: Range, IQR

6.8: Box or Whisker Plot

6.9: Outlier Treatment Using IQR and Box Plot

6.10: Quiz

6.11: Exercise

6.12: Measures of Dispersion: Variance and Standard Deviation

6.13: Analysis: Stock Returns Volatility (Using Variance and Std Dev)

6.14: Correlation

6.15: Correlation vs Causation

6.16: Quiz

6.17: Exercise

6.18: Chapter Summary

7: Probability Theory

7.1: Probability Basics

7.2: Quiz

7.3: Addition and Multiplication Rule

7.4: Quiz

7.5: Conditional Probability and Bayes Theorem

7.6: Quiz

7.7: Chapter Summary

8: Distributions

8.1: What Is a Distribution?

8.2: Skewness

8.3: Normal Distribution

8.4: Detect Outliers Using Normal Distribution

8.5: Quiz

8.6: Exercise

8.7: Z Score

8.8: Standard Normal Distribution (SND)

8.9: I Need a Favour

8.10: Quiz

8.11: Exercise

8.12: Chapter Summary

9: AtliQo Bank Project

9.1: Chapter Overview