Recognize and remedy dirty data

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Получаемые навыки

Spreadsheet, Data Cleansing, Sample Size Determination, SQL, Data Integrity

Рецензии

4.8 (оценок: 9,908)

  • 5 stars
    85,12 %
  • 4 stars
    12,22 %
  • 3 stars
    1,85 %
  • 2 stars
    0,42 %
  • 1 star
    0,37 %

OO

27 янв. 2023 г.

The course covers the topic of data cleaning, handling missing values, outliers and errors using SQL and spreadsheets, which are important skills for data analysis and working with real-world data.

VR

24 апр. 2021 г.

Google makes great professional certifications. All the classes so far have been fantastic but getting our hands dirty with the data was fun and challenging. Look forward to completing this series.

Из урока

Sparkling-clean data

Every data analyst wants clean data to work with when performing an analysis. In this part of the course, you’ll learn the difference between clean and dirty data. You’ll also explore data cleaning techniques using spreadsheets and other tools.

Преподаватели

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