What you'll learn
Build Robust Industry Machine Learning Models
Don't just learn, Become a Data Scientist through hands-on practice
Learn practical SQL skills needed by current industry
Understand the field of Data Science through demonstrable experience.
Learn from an industry expert
Requirements
This is a beginner course and the instructor with many years of experience in the industry and classroom breaks the concepts down for anyone at any level to understand. A laptop, internet connections and willingness to learn is enough to succeed in this comprehensive course.
Description
Data Science is bringing innovations to the world. The recent incident of Covid and ChatGPT is making the demand for Data scientists even more crucial in organizations.Employees with data science and analytical skills are highly valued and paid for in organizations. If you are interested in learning and understanding the field of data science, then this course is for you.In this course, you will get to understand the core areas of Data Science and the various career opportunities in Data Science. After that, you will start with SQL for Data Science to give you solid grounds for your data science career.This should give you the foundation needed for advanced concepts in data science such as Machine learning, Deep learning, Computer vision (CV), and Natural Language Processing (NLP). The instructor for this course has 15 years of industry experience as well as classroom experience in developing and deploying machine learning models in production. He is also instructor of top online courses and books. He combines his industry and academic experience in delivering the lessons. The lessons are broken down for easy understanding. A step by step approach is followed in order to cater for diverse audience such as beginners, intermediate as well as advanced learners.You only need your laptop, internet and willingness to learn and you are good to go.See you in the course.
Overview
Section 1: Introduction
Lecture 1 Overview
Lecture 2 The Big Picture
Lecture 3 Data Science Overview
Lecture 4 What is Data Science?
Lecture 5 DA vs DS vs AI vs ML
Lecture 6 Industries That Use and Hire Data Scientist
Lecture 7 Applications of Data Science
Lecture 8 Data Science Lifecycle and the Maturity Framework
Lecture 9 Who is a Data Scientist?
Lecture 10 Career Opportunities In Data Science
Lecture 11 Typical Backgrounds of Data Scientists
Lecture 12 The Ultimate Path To become a Data Scientist(Skills you need to develop)
Lecture 13 Typical Salary of a Data Scientist
Section 2: COMPLETE SQL FOR DATA SCIENCE COURSE
Lecture 14 Lecture resources
Lecture 15 All SQL Course Materials
Section 3: SQL : BEGINNER LEVEL
Lecture 16 Introduction To SQL for Data Science
Lecture 17 Types of Databases
Lecture 18 What is a Query?
Lecture 19 What is SQL?
Lecture 20 SQL or SEQUEL?
Lecture 21 SQL Installation
Lecture 22 SQL Installation Guide For MacOS
Lecture 23 SQL Installation Guide For Windows
Lecture 24 Extra Help in Installing SQL
Lecture 25 Overview of SQL workbench
Section 4: SQL COMMANDS
Lecture 26 Introduction To SQL Commands
Lecture 27 SQL CRUD Commands
Section 5: UNDERSTANDING AND CREATING SQL DATABASES
Lecture 28 SQL Schema
Lecture 29 Inserting Comments in SQL
Lecture 30 Creating Databases
Section 6: UNDERSTANDING AND CREATING SQL TABLES
Lecture 31 Overview of SQL Table
Section 7: TYPES OF SQL KEYS
Lecture 32 Keys in SQL
Lecture 33 Primary Key
Lecture 34 Foreign Key
Lecture 35 Composite Key
Lecture 36 Super Key
Lecture 37 Alternate Key
Section 8: DATA TYPES IN SQL
Lecture 38 SQL Data Types
Section 9: CREATE TABLE AND INSERT DATA INTO TABLE
Lecture 39 CREATE Table
Lecture 40 INSERT Data
Section 10: SQL CONSTRAINTS
Lecture 41 Understanding SQL Constraints
Lecture 42 NOT NULL & UNIQUE Constraints
Lecture 43 DEFAULT Constraints
Lecture 44 PRIMAY KEY Constraint
Lecture 45 Alter SQL Constraint
Lecture 46 Adding and Dropping SQL Constraint
Lecture 47 Foreign Key Constraint
Students who wish to work as Data Scientist,Working professionals who want to transition to the field of Artificial Intelligence(A.I.) , Machine Learning, Deep learning, Computer Vision(CV), Natural Language Processing(NLP),Anyone interested in building A.I applications such as ChatGPT or BARD,Anyone interesting in diving deeper into the field of Computer Vision(CV), Natural Language Processing(NLP),Anyone aspiring to be a Computer Vision(CV) or Natural Language Processing(NLP) engineer.,Anyone finding it difficult to understand the field and concepts in Data Science and wants a breakdown step-by-step guide in understanding these concepts.,Anyone who wants to be career secured and not easily affected by layoffs in organizations,Anyone looking for salary hikes and increase in salary with a lucrative tech career.


Homepage

https://www.udemy.com/course/full-stack-data-science/