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Learning Statistics with Python
course content

Conteúdo do Curso

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

Explore the Data Set

Tarefa

  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.

Tarefa

  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.

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Tudo estava claro?

Seção 5. Capítulo 1
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Explore the Data Set

Tarefa

  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.

Tarefa

  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.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Seção 5. Capítulo 1
toggle bottom row

Explore the Data Set

Tarefa

  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.

Tarefa

  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.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Tarefa

  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.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Seção 5. Capítulo 1
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
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