Data Science Zero to Hero - English

Become Interview Ready Data Scientist from Scratch

About the course

Do you want to learn data science from scratch?

Are you lost between data science content scattered all over the internet?

Do you have confusion on what to learn first and what to learn next in data science?

If the answer is yes, then this course if for you.

This course, designed and instructed by Aman Kumar ("Unfold Data Science" on YouTube) is intended to make you "Interview Ready Data Scientist Starting from Scratch".  

The course is divided in seven modules, which are extremely important to make one interview ready in data science. Apart from these modules, there are curated YouTube videos (created by Instructor himself) embedded in the course to give learners an added advantage. Please find module details below:

Module 1Introduction to Data Science

  • Introduction
  • The Data Story
  • Data is the new oil
  • Who is a data scientist
  • Skillsets for Data Scientist
  • Data Science Vs AI vs ML vs DL

Module 2 - Python for Data Science

  • Python Installation and setup
  • Python Operators
  • Python Datatype - Numeric
  • Python Datatype - String
  • Python DataType - List
  • Python DataType - Tuple
  • Python DataType - Dict
  • Python control - If
  • Python loop - For
  • Python loop - While
  • Python Functions
  • Python Packages
  • Python command line

Module 3 - Statistics for Data Science

  • Introduction to statistics
  • Percentiles and Boxplot
  • Python Basic Data Analysis
  • Normal Distribution
  • Hypothesis Testing
  • Probability and Odds
  • Linear Equation Correlation

Module 4 - SQL for Data Science

  • Introduction to SQL
  • SQL Joins

Module 5 - Machine Learning

  • Introduction to Machine Learning
  • Linear Regression
  • Steps for a Data Science Project
  • Project 1 - Linear Regression Implementation in Python
  • Logistic Regression
  • Project 2 - Logistic Regression implementation in Python
  • Decision Trees
  • Project 3 - Decision Trees Implemetation In Python
  • Ensemble learning
  • Project 4 - Ensemble models Implemetation In Python
  • Clustering
  • Project 5 - Clustering models Implemetation In Python

Module 6 - Model Deployment

  • Model Deployment Basics
  • Model Deployment Demo Python

Module 7 - Interview Preparation

  • How to prepare resume
  • How to crack job interview

NOTE : If you think yourself as "not a beginner in Data Science" you may find the course as basic level

Syllabus

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