Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 25 Minute(s)
Language
English
Taught by
Up Degree
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
3 views
Course Overview
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?
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 <<
Course Content
- 32 section(s)
- 261 lecture(s)
- Section 1 Meet Your Instructor
- Section 2 INTRODUCTION TO DATA SCIENCE
- Section 3 Course Curriculum Overview
- Section 4 INTRODUCTION TO R
- Section 5 R Programming
- Section 6 R Data Structure
- Section 7 Import and Export in R
- Section 8 Data Manipulation
- Section 9 Data Visualization
- Section 10 Introduction To Statistics
- Section 11 HYPOTHESIS Testing -1
- Section 12 Hypothesis Testing in Practice
- Section 13 Machine Learning Toolbox
- Section 14 Business Use Case Understaing
- Section 15 Data Pre-Processing
- Section 16 SUPERVISED LEARNING : REGRESSION
- Section 17 Classification Overview
- Section 18 Logistic Regression
- Section 19 K-NN
- Section 20 SVM
- Section 21 Naive Bayes
- Section 22 Decision Tree
- Section 23 Random Forest
- Section 24 Capstone Project - Titanic Survival
- Section 25 K-Mean Clustering
- Section 26 Hierarchical Clustering
- Section 27 DBScan Clustering
- Section 28 Principal Component Analysis (PCA)
- Section 29 Association Rule Mining
- Section 30 Capstone Project - Big Mart Sell
- Section 31 Model Deployment
- Section 32 Bonus Section - $997 Value Inside
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
Skills covered in this course
Reviews
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MMd R M Yusuf Naeem
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.
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YYasser Elnemr
- Generally, the theoretical part is Good. - In some lectures, the sound is not clear at all. - The lecturer spent a long time on the very basics, but when reaching the very important lectures he left a lot of details to the student to check it by himself.
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DDHRUV KANT SHARMA
The course is really good until Supervised learning concepts. After that, the instructor picks up a very fast pace and it becomes difficult to come up with him. If he would have taken more time in the unsupervised learning concepts then it would really have been a much better course. Rest it is a good introductory course for beginners.
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JJim Shaarda
The coursework itself was great. However, at times the instructor was nearly impossible to understand, especially when he talked really fast. The worst part of the course, however, was the closed captioning. It constantly spewed out complete nonsense. I turned it on a couple of times to see if I could use it to determine what was being said. Instead, I got to read things like "a really good book" when he was discussing variables and "I'm really very lonely here" when he was pointing at a chart. This slowed me way down, having to pause and back up over and over.
