Data Science Course from Scratch For Beginners - No Coding
A Quick Guide to Data Science for Everyone
Updated on Apr, 2024
Language - English
Data Science,No Code Development
Lectures -16
Duration -57 mins
30-days Money-Back Guarantee
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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
Gradient Boosting
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
What will you learn in this course:
- 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
What are the prerequisites for this course?
- 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
Check out the detailed breakdown of what’s inside the course
Course Overview and Introduction to Data Science
6 Lectures
-
Introduction
02:30
02:30
-
Data Understanding Test
-
Data Science Explanation
04:47
04:47
-
Need of Data Science
02:01
02:01
-
8 Mistakes to Avoid
08:20
08:20
-
Myths about Careers in Data Science
02:46
02:46
Data Science Concepts
5 Lectures
A Real Life Problem
4 Lectures
Thanks and Bonus
1 Lectures
Instructor Details
Nizamuddin Siddiqui
Online InstructorI am Nizamuddin, a Data Science Author, Career Mentor, YouTuber working as a Freelancer. Apart from this, I learn and implement Business, Motivation, Personality Development, and Lifestyle Skills.
My educational background - MSc in Statistics
My experience - Subject Matter Expert (Statistics) & Data Science Author (Freelance)
Professionally, I solve problems faced by students, create courses, work on Data Science projects, create YouTube videos, write content for my clients, and advise people to make better career decisions.
In my Tutorialspoint courses, you will find my original Best Practices, Ideas, Strategies, etc.
Thank you for reading this and I hope you enjoy my classes!
Love,
Nizamuddin Siddiqui
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