Data Science masters 2.0

Data Science Masters course is highly curated and uniquely designed according to the latest industry standards. This program instills students the skills essential to knowledge discovery efforts to identify standard, novel, and truly differentiated solutions and decision-making, including skills in managing, querying, analyzing, visualizing, and extracting meaning from extremely large data sets. This trending program provides students with the statistical, mathematical, and computational skills needed to meet the large-scale data science challenges of today's professional world. You will learn all the stack required to work in data science, data analytics, and big data industry including cloud infrastructure and real-time industry projects.

Language: hinglish

Duration: 9 months

What you'll learn

Python
Statistics
Machine learning
Deep learning
Computer vision
Natural language processing
Big data
Apache Spark
Apache Kakfa
Data Analytics
PowerBI
Tableau
Databases
Data Science Worflow
Real Time Data Science Projects

Requirements

System with minimum i3 processor or better
At least 4 GB of RAM
Working internet connection
Dedication to learn

Course Curriculum

Week 0 - PYTHON - Course Introduction

Course Induction
Course Overview And Dashboard Description
Introduction Of Data Industry
Lab Introduction
Support System Introduction
Community Introduction

Week 1 - PYTHON - Basic Building

Introduction Of Python And Comparison With Other Programming Languages
Python Objects, Number & Booleans, Strings.
Container Objects, Mutability Of Objects
Operators - Arithmetic, Bitwise, Comparison And Assignment Operators, Operator's Precedence And Associativity
Conditions (If Else, If-Elif-Else), Loops (While, For)
Break And Continue Statement And Range Function

Week 2 - PYTHON - Data Structures

Basic Data Structure In Python
String Object Basics
String Inbuilt Methods
Splitting And Joining Strings
String Format Functions
List Methods
List As Stack And Queues
List Comprehensions
Tuples, Sets & Dictionary Object Methods
Dictionary Comprehensions
Dictionary View Objects

Week 3 - PYTHON - Function

Functions Basics, Parameter Passing, Iterators.
Generator Functions
Lambda Functions
Map, Reduce, Filter Functions.

Week 4 - PYTHON - Oops Concepts

Oops Basic Concepts.
Creating Classes
Pillars Of Oops
Inheritance
Polymorphism
Encapsulation
Abstraction
Decorator
Class Methods And Static Methods
Special (Magic/Dunder) Methods
Property Decorators - Getters, Setters, And Deletes

Course Projects

Week 7 - Projects - Python Project :- Web Scrapping

Web Scrapping Introduction
Integration With Web Portal
Integration With Rest API, Web Portal and MongoDB
Deployment On Web Portal On Aws , Azure , Aws

Week 7 - Projects - Python Project : - Image Scrapper

Image Scrapping Introduction
Image Scrapping Deployment
Integration With Rest API, Web Portal and MongoDB
Deployment On Web Portal On Aws , Azure , Aws

Week 22 -23 - ML Projects

Fault Detection in Wafers based on Sensor Data
Credit Card Fraud Detection
Forest Cover Classification
Income Prediction
Mushroom Classifier
Phishing Classifier
Thyroid Detection

Week 29 -30 - Computer Vision Projects

Image Classification with SOTA CNNs
Vision based Attendance System
Sign Language Detection
Shredder Systems
Image to Text using OCRs

Week 34 -35 - NLP Projects

Movie Review using BERT
NER using BERT
POS Tagging with BERT
Question Answering with SQUAD
Machine Translation with Transformers

Krish

Having 10+ years of experience in Data Science and Analytics with product architecture design and delivery. Worked in various product and service based Company. Having an experience of 5+ years in educating people and helping them to make a career transition.

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Sudhanshu Kumar

Having 8+ years of experience in Big data, Data Science and Analytics with product architecture design and delivery. Worked in various product and service based Company. Having an experience of 5+ years in educating people and helping them to make a career transition.

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Dr. Ayan Debnath

Currently working as Solutions Architect / Senior Data Scientist | PHD. IIT Delhi | Visiting Research Scholar | Harvard University & University of Pennsylvania | Having 5+ years of experience in the field of Data Science

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Subhodeep Dey

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Rishab Malhotra

Currently working as Senior Data Scientist with JIO AI-COE | Ex - Senior Data Scientist at KLAIM.AI & Apollo mUnich Health Insurance Company Ltd | 4+ years of teaching experience | Top-notch Educator for Data Science & Natural language Processing

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