Data Pre-processing and EDA

Created by Selva Prabhakaran

30 Video Lessons
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7h 06m of Self-paced online videos
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Learning duration ~ 2-3 weeks
Complete access for 1 year

What you will learn

What is Data Preprocessing
and Why is it needed?

Understand what is EDA
and how to approach

Impute missing values
with multiple approaches

Understand Outlier
Detection Algorithms

Perform statistical
significance tests and interpret

Gain knowledge of
Feature encoding and
scaling techniques

Create insightful plots
for data analysis

End to end EDA for Regression and Classification

Course Curriculum

Requirements

Basics of Python
Foundational knowledge of Data Science
High school maths

Who should attend this course?

Data Science Aspirants
Data Science Professionals
Software/Data engineers interested in quantitative analysis
Professionals working with large datasets
Data analysts, economists, researchers

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

4.5+Instructor rating
200+ reviews
10K+students
15+ Courses

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Data Pre-processing and EDA

$39

What you will learn

What is Data Preprocessing and Why is it needed?

Understand what is EDA and how to approach

Impute missing values with multiple approaches

Understand Outlier Detection Algorithms

Perform statistical significance tests and interpret

Gain knowledge of Feature encoding and scaling techniques

Create insightful plots for data analysis