course content

Course Content

Learning Statistics with Python

1. Basic Concepts

Sample vs PopulationTypes of StatisticsTypes of DataMean ValueMedian ValueMedian Value of the Even Number of ValuesMean or MedianMode ValueChallenge

2. Mean, Median and Mode with Python

Examine the DatasetCalculate Mean and Median Values with PythonStatistics with pandasChallenge

3. Variance and Standard Deviation

Population VarianceSample VarianceCalculate Variance with PythonStandard deviationStandard Deviation with PythonChallenge

4. Covariance vs Correlation

CovarianceCorrelationChallenge 1Challenge 2

5. Confidence Interval

Explore the Data SetConfidence IntervalCalculating Confidence Interval with PythonChallenge 1Challenge 2Calculating Confidence Interval with PythonChallenge

6. Statistical Testing

What is t-testHypothesest-test MathematicallyOne-Tailed And Two-Tailed Testt-test AssumptionsPerforming a t-test in PythonChallengePaired t-test

Learning Statistics with Python

Sample vs PopulationSample vs Population

Understanding statistics will expand your horizons and allow you to recognize statistical patterns and work with data. Let's begin with the fundamental definitions: sample and population.

Sample vs Population

Sample

A sample is an unbiased subset of the population that captures the characteristics of the population.

Population

The population is a set of identical items in our study of interest.

Sample vs Population: Example

PopulationSample
Example:All the students in the classTop 5 students in the class
Example:All students graduated from university100 random students graduated from university

question-icon

Select an example of a sample:

Select the correct answer

Everything was clear?

Section 1. Chapter 1