Data Science by IITian -Data Science+R Programming ,Data analysis, Data Visualization, Data Pre-processing etc
Last updated 8/2019
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What you’ll 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
Course content
32 sections • 261 lectures • 32h 2m total length
Course Curriculum Overview
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 Part #2
Introduction to R
Introduction to R
Setting up R
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 – Vector
Vector Study Note
All Code – Vector
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 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 – 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
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
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
This course includes:
29.5 hours on-demand video
103 articles
57 downloadable resources
Full lifetime access
Access on mobile and TV
Certificate of completion
No prior knowledge is required to understand for the Data Science & Machine Learning Course
R Software will be used in the course. Installation and use of R will be taught in the course.
All Software and data used in the course are free
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
>> 24×7 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?
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
>> 24×7 Support
>>ENROLL TODAY & GET DATA SCIENCE INTERVIEW PREPARATION COURSE FOR FREE <<
How to download files from our website?
Who this course is for:
Anyone who is interested in Data Science can take this course.
Aspiring Data Scientists
Anyone who wants to switch his career in Data Science/Analytics/Machine Learning should take this course.
Beginners to any Programming and Interested In the Amazing world of Machine Learning , Artificial Intelligence & Data Science
People interested in Statistics and Data Analysis
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