Quick Data Science Approach from Scratch for Beginners
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
Requirements
- 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
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
Who this course is for:
- Aspiring Data Scientists
- Data Science Enthusiasts
- Students and professionals curious about Data Science
Instructor
![Nizamuddin Siddiqui](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.1 Instructor Rating
- 574 Reviews
- 55,097 Students
- 5 Courses
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 Udemy 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