Data Science Masters course is exceptionally arranged and interestingly designed by the most recent industry standards. This program imparts understudies the skills fundamental for knowledge discovery endeavors to distinguish standard, novel, and genuinely separated arrangements and decision-making, remembering skills for managing, querying, analyzing, visualizing, and extracting importance from very large data sets. This moving project furnishes understudies with the statistical, mathematical, and computational skills expected to meet the large-scale data science difficulties of the present proficient world. You will realize all the stack expected to work in data science, data analytics, and huge data industry including cloud foundation and real-time industry projects.

What you'll Learn

Python

Statistics

Machine learning

Deep learning

PC vision

Natural language processing

Enormous data

Apache Spark

Apache Kakfa

Data Analytics

PowerBI

Tableau

Databases

Data Science Worflow

Real Time Data Science Projects

Prerequisites

System with least i3 processor or better

Something like 4 GB of Smash

Working web association

Commitment to learn

Course Educational plan

Week 0 - PYTHON - Course Introduction

Course Enlistment

Course Outline And Dashboard Depiction

Introduction Of Data Industry

Lab Introduction

Emotionally supportive network Introduction

Local area Introduction

Week 1 - PYTHON - Fundamental Structure

Introduction Of Python And Comparison With Other Programming Languages

Python Objects, Number and Booleans, Strings.

Container Objects, Mutability Of Objects

Operators - Arithmetic, Bitwise, Comparison And Assignment Operators, Administrator's Priority And Associativity

Conditions (If Else, If-Elif-Else), Loops (While, For)

Break And Continue Statement And Range Function

Week 2 - PYTHON - Data Structures

Fundamental Data Design In Python

String Object Basics

String Inbuilt Methods

Splitting And Joining Strings

String Format Functions

List Methods

List As Stack And Lines

List Comprehensions

Tuples, Sets and 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 Fundamental Concepts.

Creating Classes

Mainstays Of Oops

Inheritance

Polymorphism

Encapsulation

Abstraction

Decorator

Class Methods And Static Methods

Special (Wizardry/Dunder) Methods

Property Decorators - Getters, Setters, And Deletes

View More

Course Projects

Week 7 - Projects - Python Venture :- Web Scrapping

Web Scrapping Introduction

Mix With Web Entrance

Mix With Rest Programming interface, Web Entrance and MongoDB

Organization On Web Entryway On Aws , Purplish blue , Aws

Week 7 - Projects - Python Undertaking : - Image Scrapper

Image Scrapping Introduction

Image Scrapping Arrangement

Mix With Rest Programming interface, Web Entrance and MongoDB

Organization On Web Entryway On Aws , Purplish blue , 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 - PC Vision Projects

Image Classification with SOTA CNNs

Vision based Attendance System

Sign Language Detection

Shredder Systems

Image to Text utilizing OCRs

Week 34 - 35 - NLP Projects

Film Survey utilizing BERT

NER utilizing BERT

POS Labeling with BERT

Question Responding to with Crew

Machine Interpretation with Transformers

Krish

Having 10+ long stretches of involvement with Data Science and Analytics with item architecture design and conveyance. Worked in different item and administration based Organization. Having an encounter of 5+ years in teaching individuals and assisting them with making a lifelong progress.

Social Connections:

 

Sudhanshu Kumar

Having 8+ long periods of involvement with Large data, Data Science and Analytics with item architecture design and conveyance. Worked in different item and administration based Organization. Having an encounter of 5+ years in teaching individuals and assisting them with making a lifelong progress.

Social Connections:

 

Useful links:

1. Physics Wallah Skills - Data Science Masters: https://physicswallahskills.com/data-science-masters/
2. Python: https://www.python.org/
3. Apache Spark: https://spark.apache.org/
4. Tableau: https://www.tableau.com/
5. PowerBI: https://powerbi.microsoft.com/en-us/