Learning Statistics with Python

Course Content

Learning Statistics with Python

Learning Statistics with Python

1. Basic Concepts

Sample vs Population Types of Statistics Types of Data Mean Value Median Value Median Value of the Even Number of Values Mean or Median Mode Value Descriptive Statistics Quiz

2. Mean, Median and Mode with Python

Examine the Dataset Calculating Mean and Median Values with Python Statistics with pandas Calculate the Mean and Median Salary

3. Variance and Standard Deviation

Population Variance Sample Variance Calculate Variance with Python Standard Deviation Standard Deviation with Python Calculating Variance and Standard Deviation

4. Covariance vs Correlation

Covariance Correlation Covariance and Correlation Quiz Calculate Covariance and Correlation

5. Confidence Interval

Explore the Data Set Confidence Interval Calculating Confidence Interval with Python Confidence Interval Width Quiz Calculate 95% Confidence Interval Advanced Confidence Interval Calculation with Python Match the Functions

6. Statistical Testing

What is t-test Hypotheses t-test Mathematically One-Tailed And Two-Tailed Test t-test Assumptions Performing a t-test in Python Conduct a t-test Paired t-test

Standard Deviation with Python

The first function is from numpy, and the second method is from pandas. Take a look at the example of calculating the standard deviation for the work_year:


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import pandas as pd
import numpy as np

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a849660e-ddfa-4033-80a6-94a1b7772e23/update/ds_salaries_statistics', index_col = 0)

# Calculate the standard deviation using the function from the NumPy library
std_1 = np.std(df['salary_in_usd'])
# Calculate the standard deviation using the function from the pandas library
std_2 = df['salary_in_usd'].std()

print('The standard deviation using NumPy library is', round(std_1, 2))
print('The standard deviation using pandas library is', round(std_2, 2))

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Section 3. Chapter 5

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