4.95 out of 5
67 reviews on Udemy

Data Science Approach from Scratch: An Easy Explanation

Understand the Complete Data Science use through a Real Life problem - The Easiest Way to Understand Data Science
Nizamuddin Siddiqui
11,414 students enrolled
English [Auto]
Data Science explanation in layman language and it's need
8 Mistakes made by people who want to start their career in Data Science
3 Myths about Data Science
Data Types and Variables
Definition of Data Cleaning and the errors that results in the need of Data Cleaning
Feature Engineering
Data Thinking Development
Use of many Algorithms
Example to select the best model in case of a classification problem
Types of Learning Methods

Welcome to the ultimate course on Data Science Approach from Scratch!!!

This course is your Best Resource for learning the use of Data Science.

We will be understanding the use of:

1. Data Science from a layman’s perspective

2. Regression Algorithms

3. Classification Algorithms

4. Clustering Algorithms

5. Boosting Algorithms

6. Dimensionality Reduction Algorithms

Specifically, we will cover:

  • Linear Regression

  • Stepwise Regression

  • Polynomial Regression

  • Logistic Regression

  • Naive Bayes

  • Decision Trees

  • Random Forest

  • Support Vector Machine

  • Gradient Boosting

  • Principal Component Analysis and Linear Discriminant Analysis

  • K-means Clustering and Hierarchical Clustering

  • and much more!

Feel free to message me on Udemy if you have any questions about the course!

Thanks for checking out the course page, and I hope to see you inside the course!


Course Instructor

You can view and review the lecture materials indefinitely, like an on-demand channel.
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5 out of 5
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1 hours on-demand video
1 article
Full lifetime access
Access on mobile and TV
Certificate of Completion


Working hours

Monday 9:30 am - 6.00 pm
Tuesday 9:30 am - 6.00 pm
Wednesday 9:30 am - 6.00 pm
Thursday 9:30 am - 6.00 pm
Friday 9:30 am - 5.00 pm
Saturday Closed
Sunday Closed