Data Quality

Duration:

8h

Difficulty:

1/5

Price:

595€

Prerequisite:

Good mastery in Python

Skills acquired at the end of the course:

Apprehend and understand the data environment :

  • Exploring metadata.
  • Ensuring the relevance of definitions.

Conduct quality control of your data :

  • Inspect data and detect: Missing values, duplicates, outliers, non-standardized data.

Apply the necessary manipulations and cleanup to ensure data quality:

  • Avoid common errors and find solutions to common problems.

The curriculum:

Data profiling

Management of missing data

Dates

Format Bootcamp

6 octobre

9 novembre

9 décembre

Format Continue

22 octobre

30 novembre

You wish to build a tailor-made course adapted to your needs?

A member of our team can help you!