Learn how to make the data ready for ML model building and drive actionable business insights from the data using extensive EDA
Created by Selva Prabhakaran
30 Video Lessons
Validity Period: 365 days
$49 20.41% OFF
30-Day Money Back Guarantee
Clean English Captions
Expert Query Support
7h 06m of Self-paced online videos
30-Day Moneyback if not satisfied
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
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
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!