Course page Home page Home page CoursesNew course

Data cleaning and normalization: Data Science course | Zoonk

31. Data cleaning and normalization

Covers type conversion, duplicate records, inconsistent categories, units, dates, text cleanup, and reproducible cleaning scripts. Learners turn messy raw data into a trustworthy working dataset.

Create this chapter

This chapter is part of the course, but it hasn't been created yet. Create it to see all of its lessons.

Create chapterNBack to courseEsc