Data Science Masterclass With R 8 Case Studies + 4 Projects

Data Science by IITian -Data Science+R Programming ,Data analysis, Data Visualization, Data Pre-processing etc

4.85 (515 reviews)
Udemy
platform
English
language
Data Science
category
instructor
6,860
students
32 hours
content
Aug 2019
last update
$64.99
regular price

What you will learn

Learn what is Data Science and how it is helping the modern world!

What are the benefits of Data Science and Machine Learning

Able to Solve Data Science Related Problem with the Help of R Programming

Why R is a Must Have for Data Science , AI and Machine Learning!

Right Guidance of the Path if You want to be a Data Scientist + Data science Interview Preparation Guide

How to switch career in Data Science?

R Data Structure - Matrix, Array, Data Frame, Factor, List

Work with R’s conditional statements, functions, and loops

Systematically Explore data in R

Data Science Package: Dplyr , GGPlot 2

Index, slice, and Subset Data

Get your data in and out of R - CSV, Excel, Database, Web, Text Data

Data Visualization : plot different types of data & draw insights like: Line Chart, Bar Plot, Pie Chart, Histogram, Density Plot, Box Plot, 3D Plot, Mosaic Plot

Data Manipulation - Apply function, mutate(), filter(), arrange (), summarise(), groupby(), date in R

Statistics - A Must have for Data Sciecne

Hypothesis Testing

Have fun with real Life Data Sets

Description

Are you planing to build your career in Data Science in This Year?

Do you the the Average Salary of a Data Scientist is $100,000/yr?

Do you know over 10 Million+ New Job will be created for the Data Science Filed in Just Next 3 years??

If you are a Student / a Job Holder/ a Job Seeker then it is the Right time for you to go for Data Science!

Do you Ever Wonder that Data Science is the "Hottest" Job Globally in 2018 - 2019!


>> 30+ Hours Video

>> 4 Capstone Projects

>> 8+ Case Studies

>> 24x7 Support

                >>ENROLL TODAY & GET DATA SCIENCE INTERVIEW PREPARATION COURSE FOR FREE <<



What Projects We are Going to Cover In the Course?

Project 1- Titanic Case Study which is based on Classification Problem.

Project 2 - E-commerce Sale Data Analysis - based on Regression.

Project 3 - Customer Segmentation which is based on Unsupervised learning.

Final Project - Market Basket Analysis - based on Association rule mining

Why Data Science is a MUST HAVE for Now A Days?


The Answer Why Data Science is a Must have for Now a days will take a lot of time to explain. Let's have a look into the Company name who are using Data Science and Machine Learning. Then You will get the Idea How it BOOST your Salary if you have Depth Knowledge in Data Science & Machine Learning!


What Students Are Saying:

"A great course to kick-start journey in Machine Learning. It gives a clear contextual overview in most areas of Machine Learning . The effort in explaining the intuition of algorithms is especially useful"

John DoeCo-Founder, Impressive LLC


I simply love this course and I definitely learned a ton of new concepts.

Nevertheless, I wish there was some real life examples at the end of the course. A few homework problems and solutions would’ve been good enough.

- - Brain Dee, Data Scientist



It was amazing experience. I really liked the course. The way the trainers explained the concepts were too good. The only think which I thought was missing was more of real world datasets and application in the course. Overall it was great experience. The course will really help the beginners to gain knowledge. Cheers to the team

- - Devon Smeeth, Software Developer

Above, we just give you a very few examples why you Should move into Data Science and Test the Hot Demanding Job Market Ever Created!


The Good News is That From this Hands On Data Science and Machine Learning in R course You will Learn All the Knowledge what you need to be a MASTER in Data Science.


Why Data Science is a MUST HAVE for Now A Days?

The Answer Why Data Science is a Must have for Now a days will take a lot of time to explain. Let's have a look into the Company name who are using Data Science and Machine Learning. Then You will get the Idea How it BOOST your Salary if you have Depth Knowledge in Data Science & Machine Learning!

Here we list a Very Few Companies : -

  • Google - For Advertise Serving, Advertise Targeting, Self Driving Car, Super Computer, Google Home etc. Google use Data Science + ML + AI to Take Decision

  • Apple: Apple Use Data Science in different places like: Siri, Face Detection etc

  • Facebook: Data Science , Machine Learning and AI used in Graph Algorithm for Find a Friend, Photo Tagging, Advertising Targeting, Chat bot, Face Detection etc

  • NASA: Use Data Science For different Purpose

  • Microsoft: Amplifying human ingenuity with Data Science

So From the List of the Companies you can Understand all Big Giant to Very Small Startups all are chessing Data Science and Artificial Intelligence and it the Opportunity for You!


Why Choose This Data Science with R Course?

  • We not only "How" to do it but also Cover "WHY" to do it?

  • Theory explained by Hands On Example!

  • 30+ Hours Long Data Science Course

  • 100+ Study Materials on Each and Every Topic of Data Science!

  • Code Templates are Ready to Download! Save a lot of Time


What You Will Learn From The Data Science MASTERCLASS Course:

  • Learn what is Data science and how Data Science is helping the modern world!

  • What are the benefits of Data Science , Machine Learning and Artificial Intelligence

  • Able to Solve Data Science Related Problem with the Help of R Programming

  • Why R is a Must Have for Data Science , AI and Machine Learning!

  • Right Guidance of the Path if You want to be a Data Scientist + Data Science Interview Preparation Guide

  • How to switch career in Data Science?

  • R Data Structure - Matrix, Array, Data Frame, Factor, List

  • Work with R’s conditional statements, functions, and loops

  • Systematically explore data in R

  • Data Science Package: Dplyr , GGPlot 2

  • Index, slice, and Subset Data

  • Get your data in and out of R - CSV, Excel, Database, Web, Text Data

  • Data Science - Data Visualization : plot different types of data & draw insights like: Line Chart, Bar Plot, Pie Chart, Histogram, Density Plot, Box Plot, 3D Plot, Mosaic Plot

  • Data Science - Data Manipulation - Apply function, mutate(), filter(), arrange (), summarise(), groupby(), date in R

  • Statistics - A Must have for Data Science

  • Data Science - Hypothesis Testing

  • Business Use Case Understanding 

  • Data Pre-processing 

  • Supervised Learning

  • Logistic Regression 

  • K-NN 

  • SVM 

  • Naive Bayes 

  • Decision Tree 

  • Random Forest

  • K-Mean Clustering 

  • Hierarchical Clustering 

  • DBScan Clustering 

  • PCA (Principal Component Analysis)

  • Association Rule Mining 

  • Model Deployment 


>> 30+ Hours Video

>> 4 Capstone Projects

>> 8+ Case Studies

>> 24x7 Support

                >>ENROLL TODAY & GET DATA SCIENCE INTERVIEW PREPARATION COURSE FOR FREE <<

Content

Meet Your Instructor

Meet Your Instructor
Course Curriculum Overview

INTRODUCTION TO DATA SCIENCE

Introduction to Business Analytics
Introduction to Business Analytics
Introduction to Machine Learning
Introduction to Machine Learning
Introduction To Data Scientist
Introduction To Data Scientist
How to switch your career into ML
How to switch your career into ML
How to switch your career into ML
How to switch your career into ML Part #2

Course Curriculum Overview

What We are Going to Discuss Over the Course

INTRODUCTION TO R

Introduction to R
Introduction to R
Setting up R

R Programming

R Programming - R Operator
R Conditional Statement & Loop
R Conditional Statement & Loop Study Note
R Programming - R Function
R Programming - Function in R Study Note #1
R Programming - R Function #2
R Programming - R Function #2
R Programming - R Function #3
R Programming - R Function #3
All Codes : R Programming Study Note

R Data Structure

R Data Structure - Vector
Vector Study Note
All Code - Vector
Matrix, Array and Data Frame
Matrix, Array and Data Frame - Study Note
CODES - Matrix, Array and Data Frame
Code - Data Frame Part #2
A Deep Drive to R Data Frame
A Deep Drive to R Data Frame - Study Note
R Data Structure - Factor
R Data Structure - Factor Study Notes
Codes - Factor
R Data Structure - List
List - Study Note
Code - List
All Code : R Data Structure

Import and Export in R

Import CSV Data in R
Import CSV Data in R study note
Code - Import CSV Data in R
Import Text Data in R
Import Text Data in R STUDY NOTE
CODE - Import Text Data in R
Import Excel, Web Data in R
Import Excel, Web Data in R STUDY NOTE
Export Data in R - Text
Export Data in R - CSV & Excel
Export Data in R - Text,CSV & Excel Study Note
All Code: Import and Export in R

Data Manipulation

Data Manipulation - Apply Function
Data Manipulation - Apply Function STUDY NOTE
Data Manipulation - select
Data Manipulation - mutate
Data Manipulation - filter
Data Manipulation - arrange
mutate(),filter(),arrange() Function Study Note
Data Manipulation - Pipe Operator
Pipe operator Study Note
Data Manipulation - group by
Group By Function Study Note
Data Manipulation - Date
Data Manipulation - Date with R STUDY NOTE
All Code: Data Manipulation

Data Visualization

Introduction to Data Visualization & Scatter Plot
Data Visualization - Scatter Plot Study Note
Data Visualization - mfrow
Data Visualization - mfrow Study Note
Data Visualization - pch
Data Visualization - pch Study Note
Data Visualization - Color
Data Visualization - Color Study Note
Data Visualization - Line Chart
Data Visualization - Line Chart Study Note
Data Visualization - Bar Plot
Data Visualization - Bar Plot STUDY NOTE
Data Visualization - Pie Chart
Data Visualization - Pie Chart STUDY NOTE
Data Visualization - Histogram
Data Visualization - Histogram STUDY NOTE
Data Visualization - Density Plot
Data Visualization - Density Plot STUDY NOTE
Data Visualization - Box Plot
Data Visualization - Box Plot STUDY NOTE
Data Visualization - Mosaic Plot and Heat Map
Data Visualization - Mosaic Plot and Heat Map SYUDY NOTE
Data Visualization - 3D Plot
Data Visualization - 3D Plot STUDY NOTE
Correlation Plot and Word Cloud
Data Visualization - Word Cloud STUDY NOTE
Data Visualization - ggplot2 Part 1
Data Visualization - ggplot2 Part 2
PART 2 Data Visualization - ggplot2
Data Visualization - ggplot2 Part 3
PART 3 Data Visualization - ggplot2
All Code: Data Visualization
Par Function Code

Introduction To Statistics

Intro To Stat - Part 1
Introduction To Statistic - Part 1 STUDY NOTE
Intro To Stat - Part 2
Introduction To Statistic - Part 2 STUDY NOTE
Intro To Stat - Part 3
Introduction To Statistic - Part 3 STUDY NOTE
Intro To Stat - Part 4
Part 4 Introduction To Statistic STUDY NOTE
Intro To Stat - Part 5
Introduction To Statistic - Part 5 STUDY NOTE
Intro To Stat - Part 6
Intro To Stat - Part 7
Introduction To Statistic - Part 7 STUDY NOTE
Intro To Stat - Part 8
Introduction To Statistic - Part 8 STUDY NOTE
Intro To Stat - Part 9
Introduction To Statistic - Part 9 STUDY NOTE
Intro To Stat - Part 10
Introduction To Statistic - Part 10 STUDY NOTE
Intro To Stat - Part 11
Introduction To Statistics - All Codes

HYPOTHESIS Testing -1

Hypothesys Testing - Part 1
Hypothesys Testing in Practice - Part 1 STUDY NOTE
Hypothesys Testing - Part 2
Hypothesys Testing - Part 2 STUDY NOTES
Hypothesys Testing - Part 3
Hypothesys Testing - Part 4
Hypothesys Testing - Part 4 STUDY NOTES

Hypothesis Testing in Practice

Hypothesys Testing in Practice - Part 1
Hypothesys Testing in Practice - Part 1 STUDY NOTE
Hypothesys Testing in Practice - Part 2
Hypothesys Testing in Practice - Part 3
Hypothesys Testing in Practice - Part 3 STUDY NOTE
Hypothesys Testing in Practice - Part 4
Hypothesys Testing in Practice - Part 5
Hypothesys Testing in Practice - Part 5 STUDY NOTE
Hypothesys Testing in Practice - Part 6
Chi Square -Part 1
Chi Square -Part 1 STUDY NOTE
Chi Square -Part 2
Chi Square -Part 2 STUDY NOTE
ANOVA - Part 1
ANOVA 1 STUDY NOTE
ANOVA - Part 2
What we discussed in the chapter so far? - Summary of the Chapter
All Codes : Hypothesis Testing in Practice

Machine Learning Toolbox

Machine Learning Toolbox - Part 1
Machine Learning Toolbox - Part 2

Business Use Case Understaing

Business Case Understanding

Data Pre-Processing

Data Pre-Processing 1
CODES-Data Pre-Processing 1
Data Pre-Processing 2
CODES-Data Pre-Processing 2
Data Pre-Processing 3
CODES-Data Pre-Processing 3
Data Pre-Processing 4
Data Pre-Processing 5
CODES-Data Pre-Processing 5
Data Pre-Processing 6
Data Pre-Processing 7
CODES-Data Pre-Processing 7
Data Pre-processing Codes

SUPERVISED LEARNING : REGRESSION

Linear Regression 1
Linear Regression 2
Linear Regression 3
Linear Regression 4
Linear Regression 5
Linear Regression 6
Linear Regression 7 - Correlation Part 1
Linear Regression 7 - Correlation Part 2
Linear Regression 8 - Stepwise Regression
Linear Regression 9 - Stepwise Regression
Linear Regression 10 - Dummy Variable
Linear Regression 11 - Non Linear
All Codes : REGRESSION

Classification Overview

Classification Overview

Logistic Regression

Logistics Regression Intuition
R Code Implementation -Part1
R Code Implementation -Part2
CODES - R Code Implementation -Part2
Model Evaluation
CODE-Model Evaluation
Telecom Churn Case Study
CODES - Telecom Churn Case Study
Summary
Logistic Regression All Codes

K-NN

K-NN Intuition
K-NN R Code Implementation
CODES -K-NN R Code Implementation
K-NN Case Study
CODES - K-NN Case Study
All Codes : KNN

SVM

SVM - Intuition
SVM - R Code Implementation
CODES - SVM - R Code Implementation
SVM - Model Tuning
CODES - SVM - Model Tuning
SVM - Telecom Case Study
CODES - SVM - Telecom Case Study
SVM - Non Separable Case and Pros and Cons
SVM - All Codes

Naive Bayes

Naive Bayes - Intuition
Naive Bayes - R Code Implementation
Naive Bayes - Case Study
Naive Bayes - Codes

Decision Tree

Decision Tree Intuition
Decision Tree -How it works
Decision Tree - R Code Implementation
Decision Tree Pruning
Decision Tree Case Study
Decision Tree - All Codes

Random Forest

Random Forest - Intuition
Random Forest -R Code Implementation
Random Forest - Case Study
Codes & Data Sets - Random Forest

Capstone Project - Titanic Survival

Capstone Project -Introduction
Capstone Project - Data Understanding
Capstone Project - Lazy Predictor
Capstone Project - Data Preparation
Capstone Project - Data Exploration
Capstone Project - Feature Engineering
Capstone Project - Logistics Regression
Capstone Project - Logistics Regression 2
Capstone Project - Decision Tree
Capstone Project - Random Forest
All Codes and Data Set - Titanic Survival Project

K-Mean Clustering

Unsupervised Learning Introduction
K-Mean Clustering Intuition
K-Mean Clustering R Code Implementation
K-Mean Clustering Case Study
All Codes : K-Mean Clustering

Hierarchical Clustering

Hierarchical Clustering Intuition
Hierarchical Clustering R Code Implementation
Hierarchical Clustering Case Study
All Codes - Hierarchical Clustering

DBScan Clustering

DBScan Clustering -Intuition and R Code
DBScan Clustering - Case Study
All codes - DBScan Clustering

Principal Component Analysis (PCA)

PCA - Intuition
PCA - R Code Implementation
PCA - Case Study
All Codes - PCA

Association Rule Mining

Association Rule Mining -Introduction
Association Rule Mining -R Code Implementation
Association Rule Mining - Pre-Processing
Association Rule Mining - Case Study
All Codes - Association Rule Mining

Capstone Project - Big Mart Sell

Big Mart Sale - Data Structure
Big Mart Sale - Univariate Analysis
Big Mart Sale - Bi-Variate Analysis
Big Mart Sale - Fetature Engineering
Big Mart Sale - Pre-Processing
Big Mart Sale - Model Building & Evaluation
Capstone Project - Big Mart Sell All Codes

Model Deployment

Model Deployment - Workflow
Model Deployment - Pre Requisite
Model Deployment - Steps To Follow
Model Deployment - Azure ML DEMO

Bonus Section - $997 Value Inside

$497 Value Inside - Private Group Access
All Bonus - Interview Preparation + PDF + Private Group

Screenshots

Data Science Masterclass With R 8 Case Studies + 4 Projects - Screenshot_01Data Science Masterclass With R 8 Case Studies + 4 Projects - Screenshot_02Data Science Masterclass With R 8 Case Studies + 4 Projects - Screenshot_03Data Science Masterclass With R 8 Case Studies + 4 Projects - Screenshot_04

Reviews

Md
December 2, 2021
It's ok for the beginner learner. But they don't provide the full pdf file from where the Instructor is presenting the algorithm rules.
Mohamed
January 7, 2021
I had never seen how this course is arranged, it covers different related topics based on data science. thanks Udemy.
Ritesh
January 1, 2021
had to update about this course, it's only for those who have base knowledge in R and Data Science, and if you'r stuck, you'r stuck on your own. The Projects shown are same as in kaggle or on youtube platform, not worth as tutor doesn't even bother responding too, on to the queries.
Raj
November 8, 2018
very good presentation. Details approach and the way he delivers that is really appreciable. Most important thing is he knows the subject very well that's why making others understand becomes easy. Thumbs up..
Vishwas
November 8, 2018
really good course for data science people really good indepth explaination on all topic really good course
Amandeep
November 7, 2018
really interesting course but stiil i havn't finished it so i'll decide at the end of the course if i should give it five stars or not
Pallabmanidas
November 6, 2018
The course is really beneficial for fresher who are new to data science. Believe me you don't need a coding background for it if you are really passionate about the data science course and follow this course properly. Morever, this course can be opt by any students and working professionals who want to which their field to data scientist. I recommend this course to everyone who really having a zeal for this course!!
Prasenjit
November 4, 2018
This course is driving me in easy way. And i am getting understand the course with real world scenario.
Md
November 3, 2018
It is really a great course ! It will provide you a great insight of various aspects involved in data science and help you understand clearly about these aspects - what are data preparation, visualization & communication and analysis. The course is really easy to understand for both beginners, mid-level experts and experts. Really value for the money so far!
Delaus
November 2, 2018
What a mingbloing course sir. I am clean bold with the course. Lovely teaching style, wonderful presentation and the teacher is extremely knowledgeable. Just awasome!!! Update #1: I Just complete 4 projects by myself I mostly like the 4th project and 2nd project. Analysis of the store sell based on different types of customer data is really amazing! Pros: 1. Code template available for all the chapter and Projects are really very much helpful for Lazy Students like me. Pros2 : Case Study based teaching style is really helpful for absolute beginner who just started data science from Scratch Pros3: Interview Preparation BONUS course is really Amazing {I really can't imagine even how Updegree give the course for only $19} The course add way high value in my CV compared to the $19 price point) Pros 4: Helpful support (I get my question's answer within 6 hours) Even the paid question asked sites take 24 hours to get a professional answer. Cons: If the course have any Cons then I will mention is the Indian English style. The the English is Okay. IF YOU ARE PLANNING FOR DATA SCIENCE IN 2019 THEN IT IS A MUST HAVE COUESE Update #2 : I just update my rating from 4.5 to absolutely 5 out of 5 Just Wonderful Data Science Experience for me.
Manoj
October 31, 2018
I can say this is one of the best courses I have ever bought online about data science I am quite sure that even a mid-experienced one could solve problems that use statistics and data science to find solutions. It will truly help me to gain a solid groundwork from the base level for starting my career as a data scientist that I have ever dreamt of. This course alone is sufficient to find no jobs to many career opportunities. It has been really very insightful, professional and engaging experience with this course so far. The instructor has in-depth knowledge in Machine learning and data science and it is relevant for both the beginners and expert levels. The description, visualization, presentation, graphs and charts are well elaborated and presented in a simple and attractive manner and easy to perceive way, that has made this course really easy to understand.
OINDRILLA
October 28, 2018
Great course for beginners to experts. . I've ever thought that i would be able to understand such a big topic in simple terms. The way this course breaks down the complex topics into simple explanations is amazing!Take all the topics related to Machine Learning in Data Science, very clear and easy to understand. The material is very professional.
Maddipati
October 27, 2018
please add some more projects and some topics are not included like tuning in random forest and boosting techniques
Maruthi
October 25, 2018
One of the Best course on R for Data science .... Course covered with detailed examples and use cases. Worth in investing time and money for this course.
Piyush
October 19, 2018
What a wonderful course! I spend over $1500 to learn data science. I take different coursr like Nanodegree programme, Nanogadge programme which charge me $500 approx. After that I take simpleilearn and edureka but they are not so good compared to money spend Recently I take this Data Science Masterclass (One of my Fb friend recommend me to take this course) I enrolled with $29 only and it is really awasom initiative from updegree. Excellent instructor, Excellent course curriculum and excellent hands on programme. The coursr price is too low compared to the knowledge shared. If you bought the course even full price $199 you get full satisfaction (i think udemy always give u some discount) Pros- project based Case study based To the point Support from instructor Cons- the only cons is the english is indian style English I recommend you to take the course. You get to learn a lot from the data science course Cheers!

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1945486
udemy ID
10/3/2018
course created date
6/25/2019
course indexed date
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