Data Preprocessing
Learn data preprocessing from basics and get hands-on experience through the case study of the FIFA dataset. Enroll in this data preprocessing free course to master data manipulation skills for accurate data analysis.
What you learn in Data Preprocessing ?
About this Free Certificate Course
This free data preprocessing course aims to empower you with a better understanding of data preprocessing. In order to give better hands-on experience, the course proceeds with the case study of the FIFA dataset. First, you will go through a brief overview of data preprocessing and understand the various libraries essential for the process.
Further, you will go through the basic summaries for univariate data and understand feature engineering basics and variable scaling and transformation. To make your data preprocessing much easier, you will also learn about missing value treatment, binning and lambda function, correlation checks for bivariate data, outlier identification, and treatment. Lastly, you will comprehend data manipulation and encode categorical variables. Complete all these modules and earn a free certificate of course completion.
Dwell more into advanced Data Science techniques by enrolling in Great Learning’s Best Data Science Courses and a certificate of course completion for better job opportunities.
Course Outline
This module runs through an overview of what data preprocessing is, why you should consider data preprocessing, and understand the three steps of data preprocessing.
This module focuses on a case study of data preprocessing using the 2019 FIFA dataset to comprehend the process of data preprocessing using hands-on sessions. You will go through loading libraries and loading and exploring the data.
This module continues with the case study and provides a hands-on session on a basic summary of statistics like mean, median, etc., and their consequences.
This module walks you through the basics of feature engineering. You will go through a hands-on session on combining a few more statistics to reduce the dimension and splitting the work rate into two columns.
Through the case study, you will learn about standardizing continuous features. You will go through a hands-on session explaining how standard deviation plays its role and comprehend Z and T transformations.
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2.0 Hours
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Frequently Asked Questions
What prerequisites are required to learn this Data Preprocessing course?
Enrolling in this free Data Preprocessing requires no prerequisites, and it is mainly designed for beginners to learn it from scratch.
How long does it take to complete this free Data Preprocessing course?
This free Data Preprocessing course contains 2 hours of self-paced videos that learners can take up according to their convenience.
Will I have lifetime access to this free online course?
Yes. You will have lifetime access to this free online Data Preprocessing course.
What are my next learning options after this Data Preprocessing course?
You can enroll in Great Learning's Applied Data Science MIT Program to gain advanced and crucial Data Science skills and earn a certificate of course completion.
Is it worth learning Data Preprocessing?
Yes, it is worth learning data preprocessing, as it is an essential step in any data analysis process. Data preprocessing is used to prepare raw data for further analysis, and it is necessary to ensure the data is in a usable format. Preprocessing can also help to improve the accuracy of any machine learning algorithms that are used.
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