Data Cleaning Techniques in Data Science & Machine Learning faq

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3.8
learnersLearners: 168
instructor Instructor: Eduonix Learning Solutions instructor-icon
duration Duration: duration-icon

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 Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

2020-01-21

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

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

Discussion and Reviews

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faq FAQ for Data Preprocessing Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 168 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
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(Please note that the following steps should be performed on Udemy's official site.)
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Once in the cart, select the course you want and click "Enroll."
Udemy may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Data Preprocessing courses and certifications, our extensive collection at azclass.net will help you.

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