# Data Science Approach from Scratch For Beginners - No Coding

A Quick Guide to Data Science for Everyone

#### Course Description

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

• Principal Component Analysis and Linear Discriminant Analysis

• K-means Clustering and Hierarchical Clustering

• and much more!

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

Nizamuddin (Course Instructor)

#### Goals

• 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

#### Prerequisites

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

#### Curriculum

• Introduction
02:30
Preview
• Data Understanding Test
• Data Science Explanation
04:47
Preview
• Need of Data Science
02:01
• 8 Mistakes to Avoid
08:20
Preview
• Myths about Careers in Data Science
02:46
Preview
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##### This Course Includes
• 57 mins
• 16 Lectures
• Language English
• 30-Days Money Back Guarantee

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