Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Calculate Covariance and Correlation | Covariance vs Correlation
Learning Statistics with Python
course content

Course Content

Learning Statistics with Python

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 ValueDescriptive Statistics Quiz
2. Mean, Median and Mode with Python
Examine the DatasetCalculating Mean and Median Values with PythonStatistics with pandasCalculate the Mean and Median Salary
3. Variance and Standard Deviation
Population VarianceSample VarianceCalculate Variance with PythonStandard deviationStandard Deviation with PythonCalculating Variance and Standard Deviation
4. Covariance vs Correlation
CovarianceCorrelationSelect All Possible ValuesCalculate Covariance and Correlation
5. Confidence Interval
Explore the Data SetConfidence IntervalCalculating Confidence Interval with PythonConfidence Interval Width QuizCalculate 95% Confidence IntervalAdvanced Confidence Interval Calculation with PythonMatch the Functions
6. Statistical Testing
What is t-testHypothesest-test MathematicallyOne-Tailed And Two-Tailed Testt-test AssumptionsPerforming a t-test in PythonConduct a t-testPaired t-test

Calculate Covariance and Correlation

Task

Calculate the covariance and the correlation between the columns 'Daily_Customer_Count' and 'Items_Available' using the NumPy library.

Task

Calculate the covariance and the correlation between the columns 'Daily_Customer_Count' and 'Items_Available' using the NumPy library.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 4. Chapter 4
toggle bottom row

Calculate Covariance and Correlation

Task

Calculate the covariance and the correlation between the columns 'Daily_Customer_Count' and 'Items_Available' using the NumPy library.

Task

Calculate the covariance and the correlation between the columns 'Daily_Customer_Count' and 'Items_Available' using the NumPy library.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 4. Chapter 4
toggle bottom row

Calculate Covariance and Correlation

Task

Calculate the covariance and the correlation between the columns 'Daily_Customer_Count' and 'Items_Available' using the NumPy library.

Task

Calculate the covariance and the correlation between the columns 'Daily_Customer_Count' and 'Items_Available' using the NumPy library.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Task

Calculate the covariance and the correlation between the columns 'Daily_Customer_Count' and 'Items_Available' using the NumPy library.

Switch to desktop for real-world practiceContinue from where you are using one of the options below
Section 4. Chapter 4
Switch to desktop for real-world practiceContinue from where you are using one of the options below
We're sorry to hear that something went wrong. What happened?
some-alt