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

Explore the Data SetExplore the Data Set

In this section and next, we will work with Seaborn visualization and manipulate datasets using pandas and NumPy. Therefore, to succed in this course, I strongly recommend taking the following courses:

Task

  1. Read the CSV file and assign it to the data variable.
  2. Display the first five observations of the dataset stored in the data variable.
  3. Create a histplot with the following attributes:
    • Set the dataset to data.
    • Set 'body_mass_g' for the X-Axis.
    • Set the kde parameter to True.

Everything was clear?

Section 5. Chapter 1
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