Data Cleaning Techniques in Data Science & Machine Learning
This course provides learners with an in-depth understanding of data cleaning techniques in Data Science & Machine Learning. It covers topics such as data reading, merging or splitting datasets, different visualization tools, locating or handling missing/absurd values, and hands-on sessions. By enrolling in this course, learners will gain the knowledge and skills necessary to effectively clean data for Data Science & Machine Learning. They will also understand why data cleaning is important, and how it can improve decision making, efficiency, and productivity. Learners will have the opportunity to practice their data cleaning skills with a dataset. This course is perfect for new learners who want to gain a comprehensive understanding of data cleaning techniques in Data Science & Machine Learning. ▼
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Course Feature
Cost:
Paid
Provider:
Udemy
Certificate:
Paid Certification
Language:
English
Start Date:
2020-01-21
Course Overview
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Updated in [July 27th, 2023]
This course provides learners with an in-depth understanding of data cleaning techniques in Data Science & Machine Learning. It covers topics such as data reading, merging or splitting datasets, different visualization tools, locating or handling missing/absurd values, and hands-on sessions. Learners will gain an understanding of why data cleaning is important, and how it can improve decision making, efficiency, and productivity. The course also provides learners with the opportunity to practice their data cleaning skills with a dataset. Upon completion of this course, learners will have the knowledge and skills necessary to effectively clean data for Data Science & Machine Learning.
Course Syllabus
Introduction
Playing with the Data
Variables and Correlations
Missing Values and Outliers
Exercises
Course Provider
Provider Udemy's Stats at AZClass
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