Data Science Masterclass With R 8 Case Studies + 4 Projects

4.28

Updated on Dec 28, 2021

Course overview

Provider: Udemy
Course type: Paid course
Level: All Levels
Duration: 32 hours
Lessons: 261 lessons
Certificate: Available on completion
Course author: Up Degree; 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

Learn more

Description

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

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 Doe, Co-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?

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