Data Science Course from Scratch For Beginners - No Coding
A Quick Guide to Data Science for Everyone
Updated on Feb, 2025
Language - English
Lectures -16
Duration -57 mins
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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
- 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
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
I have 65,000+ students online and the reasons are listed here:
1) I teach with passion and purpose. Every course is delivered with my students in mind.
2) I am teaching since 2016 so I gained a lot of teaching experience.
3) My courses will help you achieve real results and change your life today!
4) My dedication to teaching online.
Try enrolling in a course with me and see for yourself.
_________________________________________________________________________
My Courses are broadly based on the following topics:
1. Data Science
2. Business
3. Lifestyle
_________________________________________________________________________
Why I am eligible to teach these topics?
1. Data Science - I am working as a Data Science Author and helping thousands of students with their academic problems, and also work on freelance Data Science projects.
2. Business - As an Edupreneur, I need to lead a team of subject matter experts when needed. I failed and succeeded at businesses that made me a better leader and businessperson. Also, people ask for my opinions on their business decisions, which makes me different from others.
3. Lifestyle - I learned life from people and stories that made my life better. The best thing is that I am satisfied with my life, so I'll teach you things that will improve your satisfaction level.
_________________________________________________________________________
My Profile
Educational background - MSc in Statistics
Professional Experience - Subject Matter Expert (Statistics), Statistician, Data Science Author (Freelance), Fraud Analyst, Executive(Proof Reading), Business Analyst(Research).
In my Tutorialspoint courses, you will find my original Best Practices, Ideas, Strategies, etc.
If you'd like to find out more, please do check my courses, and if you're a fan of my content and you've got ideas for courses that you'd find helpful, comment in the Discussions section and I'll see what I can do.
Thank you for reading this and I hope you enjoy my courses!
Love,
Nizamuddin Siddiqui
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