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Data Science Approach from Scratch: An Easy Explanation

Data Science Approach from Scratch: An Easy Explanation

The key here is having the best understanding of the problemData Science Approach from Scratch: An Easy Explanation

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What you'll learn

  • 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


  • You are a beginner in Data Science
  • You are thinking about moving into Data Science
  • You want to know "What Data Science is all about?"
  • You are a business person and want to understand the use of Data Science


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!

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Online Course CoupoNED based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners.

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