Quick Data Science Approach from Scratch for Beginners

Rating 4.95 out of 5 (68 ratings in Udemy)

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 …

Rating 4.95 out of 5 (68 ratings in Udemy)

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

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.

Data Science has become an essential part of every business to make decisions because of the benefits it brings to businesses in this competitive world. It helps businesses in numerous ways such as making predictions about different aspects of the business, providing insights to improve marketing and sales, interpreting complex data problems and providing their solutions, etc.

To make use of Data Science you don't need to be a big business leader but small business owners can also take advantage.

This is a No Code Data Science course so you do not need to have an understanding of programming or software to take this class. To make it more clear I have defined the intended learners for this class below.

Who should take this course?

Anyone who has no idea about Data Science and is interested in understanding how Data Science can be used in his business or job. Also, if someone wants to become a Data Scientist then I would recommend starting with this class as it covers basic concepts and some key mistakes that you shouldn't make in your preparation.

My main objective behind creating this course is to enable you to understand the use of Data Science in a general context.

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!

Nizamuddin

Course Instructor

Duration 0 Hours 58 Minutes

Paid

Self paced

Beginner Level

English (US)

11416

Rating 4.95 out of 5 (68 ratings in Udemy)

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