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Learn Examine the Dataset | Mean, Median and Mode with Python
Learning Statistics with Python
course content

Course Content

Learning Statistics with Python

Learning Statistics with Python

1. Basic Concepts
2. Mean, Median and Mode with Python
3. Variance and Standard Deviation
4. Covariance vs Correlation
5. Confidence Interval
6. Statistical Testing

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Examine the Dataset

In this section, a sample of IT specialists' salaries will be analyzed. Begin by examining the first five observations of the dataset:

  • work_year - this year, the salary was paid;
  • experience_level - the experience level: EN is Entery-level, MI is Mid-level, SE-Senior-level, EX is Executive level;
  • job_title - the name of a job;
  • salary - the value of the salary;
  • salary_currency - the currency of the salary;
  • salary_in_usd - the value of the salary in USD;
  • company_location - the location of the company;
  • company_size - the size of the company: S-Small, M-Medium, L-Large.

Now begins a review of data types in statistics, followed by an activity to match each column name with its corresponding data type.

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Match the column name with its type.

work_year
experience_level

salary_currency

salary_in_usd

company_size

Click or drag`n`drop items and fill in the blanks

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SectionΒ 2. ChapterΒ 1
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