Data Science Approach from Scratch: An Easy Explanation
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
Course content
- Preview02:30
- 10 questionsData Understanding Test
- Preview04:47
- 02:01Need of Data Science
- Preview08:20
- Preview02:46
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.
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 is a Data Science Author and Career Mentor. He is helping students to understand Data Science concepts for more than three years, solved thousands of problems for students, and has many overseas clients from the education industry. Most of his work is into academics especially offering help to Statistics students in the USA, UK, Bangladesh through different clients.
He is also an Edupreneur who likes to provide applicable knowledge to people who are keen to know things.
In terms of education, he holds a post-graduate degree in Statistics and certified in R programming and MY SQL.