New Course Enquiry : flag

Data Science with R Programming Certification Training Course in Delhi

Name: Data Science with R Programming Certification Training Course
Item: Data Science with R Programming Certification Training Course
Rating: 5
Author: Muralidhar Gaddam

Live Classes

Have Queries? Ask us +91 80350 68195

Preview this course

Delhi is the capital of India and also the top-most populous country in India. It houses some of the biggest corporations in the country, including Google, American Express India, SAP Labs India, and Cadence Design Systems India, and more. Delhi is a popular destination among young professionals looking to advance their IT careers. Data Science is a popular analysis technique that employs theories like mathematics, statistics, computer science, and so on. The application is used in most companies, and taking a Data Science certification can help in advancing your career. According to PayScale, the average salary of a Data Scientist is INR 9,00,000 in Delhi. Edureka is one of the top institutes offering the Data Science certification in Delhi.

40k+ learners took Data Science training in Delhi Read Reviews

Why should you take Data Science with R Certification in Delhi?

A study in recent trends shows nearly 97,000 analytics and data science positions that are presently vacant owing to a shortage of skilled talent.

The average salary for Data Scientist in Delhi is INR 11,00,000 per year- Glassdoor.

Companies hiring Data Scientist in Delhi are Accenture, Amazon Development Centre, Deloitte, Dell International and many more.

Instructor-led Data Science with R Certification live online classes

Sep 03 ^rd

Sat & Sun (5 Weeks) Weekend Batch

Sold Out Timings - 07:00 AM to 10:00 AM (IST)

Nov 19 ^th

Sat & Sun (5 Weeks) Weekend Batch

Filling Fast Timings - 08:30 PM to 11:30 PM (IST)

Course Price at

22409 24899

No Cost EMI starts at 1,799 / month View more

Can’t find a batch you were looking for?

Data Science with R Programming Course Curriculum

The Data Science training in Delhi at Edureka is a live, instructor-led training that covers all the basic concepts of Data Science, including data visualization. Below is a look at what the Data Science course training in Delhi includes. Introduction to data science Basic understanding of statistical concepts used in data analysis Knowledge of Unsupervised Learning and clustering types used to analyze data Introduction to Reinforcement Learning and Deep learning Learn about Time Series data, components of Time Series data, and Time Series modelling Click here to know more about Data Science training in Delhi.

Introduction to Data Science with R

Learning Objectives - Get an introduction to Data Science in this module and see how Data Science helps to analyze large and unstructured data with different tools.

Topics:

What is Data Science?
What does Data Science involve?
Era of Data Science
Business Intelligence vs Data Science
Life cycle of Data Science
Tools of Data Science
Introduction to Big Data and Hadoop
Introduction to R
Introduction to Spark
Introduction to Machine Learning

Get detailed course syllabus in your inbox

Statistical Inference

Learning Objectives - In this module, you will learn about different statistical techniques and terminologies used in data analysis.

Topics:

What is Statistical Inference?
Terminologies of Statistics
Measures of Centers
Measures of Spread
Probability
Normal Distribution
Binary Distribution

Get detailed course syllabus in your inbox

Data Extraction, Wrangling and Exploration

Learning Objectives - Discuss the different sources available to extract data, arrange the data in structured form, analyze the data, and represent the data in a graphical format.

Topics:

Data Analysis Pipeline
What is Data Extraction
Types of Data
Raw and Processed Data
Data Wrangling
Exploratory Data Analysis
Visualization of Data

Hands-On/Demo:

Loading different types of dataset in R
Arranging the data
Plotting the graphs

Get detailed course syllabus in your inbox

Introduction to Machine Learning

Learning Objectives - Get an introduction to Machine Learning as part of this module. You will discuss the various categories of Machine Learning and implement Supervised Learning Algorithms.

Topics:

What is Machine Learning?
Machine Learning Use-Cases
Machine Learning Process Flow
Machine Learning Categories
Supervised Learning algorithm: Linear Regression and Logistic Regression

Hands-On/Demo:

Implementing Linear Regression model in R
Implementing Logistic Regression model in R

Get detailed course syllabus in your inbox

Classification Techniques

Learning Objectives - In this module, you should learn the Supervised Learning Techniques and the implementation of various techniques, such as Decision Trees, Random Forest Classifier, etc.

Topics:

What are classification and its use cases?
What is Decision Tree?
Algorithm for Decision Tree Induction
Creating a Perfect Decision Tree
Confusion Matrix
What is Random Forest?
What is Naive Bayes?
Support Vector Machine: Classification

Hands-On/Demo:

Implementing Decision Tree model in R
Implementing Linear Random Forest in R
Implementing Naive Bayes model in R
Implementing Support Vector Machine in R

Get detailed course syllabus in your inbox

Unsupervised Learning

Learning Objectives - Learn about Unsupervised Learning and the various types of clustering that can be used to analyze the data.

Topics:

What is Clustering & its use cases
What is K-means Clustering?
What is C-means Clustering?
What is Canopy Clustering?
What is Hierarchical Clustering?

Hands-On/Demo:

Implementing K-means Clustering in R
Implementing C-means Clustering in R
Implementing Hierarchical Clustering in R

Get detailed course syllabus in your inbox

Recommender Engines

Learning Objectives - In this module, you should learn about association rules and different types of Recommender Engines.

Topics:

What is Association Rules & its use cases?
What is Recommendation Engine & it’s working?
Types of Recommendations
User-Based Recommendation
Item-Based Recommendation
Difference: User-Based and Item-Based Recommendation
Recommendation use cases

Hands-On/Demo:

Implementing Association Rules in R
Building a Recommendation Engine in R

Get detailed course syllabus in your inbox

Text Mining

Learning Objectives - Discuss Unsupervised Machine Learning Techniques and the implementation of different algorithms, for example, TF-IDF and Cosine Similarity in this Module.

Topics:

The concepts of text-mining
Use cases
Text Mining Algorithms
Quantifying text
TF-IDF
Beyond TF-IDF

Hands-On/Demo:

Implementing Bag of Words approach in R
Implementing Sentiment Analysis on Twitter Data using R

Get detailed course syllabus in your inbox

Time Series

Learning Objectives - In this module, you should learn about Time Series data, different component of Time Series data, Time Series modeling - Exponential Smoothing models and ARIMA model for Time Series Forecasting.

Topics:

What is Time Series data?
Time Series variables
Different components of Time Series data
Visualize the data to identify Time Series Components
Implement ARIMA model for forecasting
Exponential smoothing models
Identifying different time series scenario based on which different Exponential Smoothing model can be applied
Implement respective ETS model for forecasting

Hands-On/Demo:

Visualizing and formatting Time Series data
Plotting decomposed Time Series data plot
Applying ARIMA and ETS model for Time Series Forecasting
Forecasting for given Time period

Get detailed course syllabus in your inbox

Deep Learning

Learning Objectives - Get introduced to the concepts of Reinforcement learning and Deep learning in this module. These concepts are explained with the help of Use cases. You will get to discuss Artificial Neural Network, the building blocks for Artificial Neural Networks, and few Artificial Neural Network terminologies.

Topics:

Reinforced Learning
Reinforcement learning Process Flow
Reinforced Learning Use cases
Deep Learning
Biological Neural Networks
Understand Artificial Neural Networks
Building an Artificial Neural Network
How ANN works
Important Terminologies of ANN’s

Get detailed course syllabus in your inbox

View course curriculum

Like the curriculum? Enroll Now

Structure your learning and get a certificate to prove it.

Data Science with R Programming Certification Course Description

The data science course in Delhi covers the concept of Data collection, extraction, cleaning, exploration, transformation, integration, and mining. It also includes hands-on learning with data science tools and use cases. With this training, learners will get in-depth knowledge of the data science life cycles, such as data analysis and visualization and machine learning algorithms. Data Science is the hottest jobs of the 21st century, according to Harvard Business Review. The methodology has been adopted by many top companies since it facilitates better data analysis and visualization. The data science certification training in Delhi costs INR 20,000 approximately, and compared to the returns it offers, this cost is well worth your time and effort. Click here to know more about the Data Science course in Delhi.

About Data Science with R Certification Course

Data science is a "concept to unify statistics, data analysis and their related methods" to "understand and analyse actual phenomena" with data. Data Science Training employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science from the sub-domains of machine learning, classification, cluster analysis, data mining, databases, and visualization. The Data Science Certification Course enables you to gain knowledge of the entire life cycle of Data Science, analyse and visualise different data sets, different Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes.

What are the objectives of our Data Science using R Programming Course?

Data Science Certification Training is designed by industry experts to make you a Certified Data Scientist. The Data Science course offers:

In-depth knowledge of Data Science Life Cycle and Machine Learning Algorithms
Comprehensive knowledge of various tools and techniques for Data Transformation
The capability to perform Text Mining and Sentimental analyses on text data and gain an insight into Data Visualization and Optimization techniques
The exposure to many real-life industry-based projects which will be executed in RStudio
Projects which are diverse in nature covering media, healthcare, social media, aviation and HR
Rigorous involvement of an SME throughout the Data Science Training to learn industry standards and best practices

Why should you go for Data Science with R Training?

Data science is an evolutionary step in interdisciplinary fields like the business analysis that incorporate computer science, modelling, statistics and analytics. To take complete benefit of these opportunities, you need a structured training with an updated curriculum as per current industry requirements and best practices. Besides strong theoretical understanding, you need to work on various real-life projects using different tools from multiple disciplines to gather a data set, process and derive insights from the data set, extract meaningful data from the set, and interpret it for decision-making purposes. Additionally, you need the advice of an expert who is currently working in the industry tackling real-life data-related challenges.

What are the skills that you will be learning with our Data Science using R Training?

Data Science Training will help you become a Data Science Expert. It will hone your skills by helping you to understand and analyze actual phenomena with data and provide the required hands-on experience for solving real-time industry-based projects.

During this Data Science course, you will be trained by our expert instructors to:

Gain insight into the 'Roles' played by a Data Scientist
Analyze several types of data using R
Describe the Data Science Life Cycle
Work with different data formats like XML, CSV, etc.
Learn tools and techniques for Data Transformation
Discuss Data Mining techniques and their implementation
Analyze data using Machine Learning algorithms in R
Explain Time Series and it’s related concepts
Perform Text Mining and Sentimental analyses on text data
Gain insight into Data Visualization and Optimization techniques
Understand the concepts of Deep Learning

Who should go for this Data Science with R certification course?

The market for Data Analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Our Data Science Training helps you to grab this opportunity and accelerate your career by applying the techniques on different types of Data. It is best suited for:

Developers aspiring to be a 'Data Scientist'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'R' professionals who wish to work Big Data
Analysts wanting to understand Data Science methodologies

What are the pre-requisites for Edureka's Data Science with R Course?

There is no specific pre-requisite for Data Science Training. However, a basic understanding of R can be beneficial. Edureka offers you a complimentary self-paced course, i.e. "R Essentials" when you enroll in Data Science Training.

View course curriculum

Data Science with R Certification

Edureka’s Data Scientist with proficiency in R Certificate Holders work at 1000s of companies like

Data Science with R Programming Certification Training Course in Delhi Certificate

Data Science with R Programming Certification Training Course in Delhi Certificate Watermark

Your Name

Data Scientist with proficiency in R

with Grade X

Sample ID NA Signature

The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate

Click to Zoom

Testimonial Reviews

Sidhartha MitraIBM MDM COE Head @ CTS, Kolkata Area, India

Edureka has been an unique and fulfilling experience. The course contents are up-to-date and the ins ... Read More

Abhishek MishraExperience in Hadoop and Big Data Analytic, Java developer.

Awesome faculty. Awesome explanation on topics. I really appreciate Edureka Support team. They are r ... Read More

Pramod KunjuData Warehouse Guru, Greater Los Angeles Area

I found the big data course from Edureka to be comprehensive, and practical. Course instructor was v ... Read More

Sarvani KareSr. Software developer, Lockheed Martin Information Technology, Baltimore, Maryland Area

Very good courses covering lots of topics. Excellent class delivery and lecture notes. I really lear ... Read More

Muralidhar GaddamDevOps Professional, Project/Program Management Corporate Trainer

I got full value from Edureka's DevOps course. I had to come out of my comfort zone as I was expecti ... Read More

Vijay MajetiFunctional Data Analyst at Yorkshire Building Society Group

Very good learning experience. Training staff are really experienced. 24X7 Support is excellent,get ... Read More

Video Reviews

Vinayak shares his Edureka learning experience and how our Big Data training helped him achieve his dream career path.

Our learner Balasubramaniam shares his Edureka learning experience and how our training helped him stay updated with evolving technologies.

Sriram speaks about his learning experience with Edureka and how our Hadoop training helped him execute his Big Data project efficiently.

Loved reviews? Enroll Now

Structure your learning and get a certificate to prove it.

Data Science with R Programming Certification Projects

What are the system requirements for this Data Science using R Training?

If you have a Windows system, you should have:

Microsoft Windows 7 or newer (32-bit and 64-bit)
Microsoft Server 2008 R2 or newer
Intel Pentium 4 or AMD Opteron processor or newer
2 GB memory
1.5 GB minimum free disk space
1366 x 768 screen resolution or higher

If you have a MAC system, you should have:

iMac/MacBook computers 2009 or newer
OSX 10.10 or newer
5 GB minimum free disk space
1366 x 768 screen resolution or higher

How will I execute the practicals in the Data Science with R Training course?

For executing the practicals, you will set-up R programming IDE on your machine, you can:

Download RStudio Desktop Open Source License from the Rstudio Official Website for free
Or, purchase the licensed Full- version of RStudio Desktop Commercial License

The detailed step by step installation guides will be present in your LMS which will help you to install and set-up the required environment. In case you come across any doubt, the 24*7 support team will promptly assist you.

Which projects are included in this Data Science R Programming certification course?

Edureka's Data Science Training includes real-time industry-based projects, which will hone your skills as per current industry standards and prepare you for the upcoming Data Scientist roles.

Project#1: Movies Collection

Industry: Entertainment Industry

Description: The goal of this Use-Case is to explore the movie dataset, given the parameters like: "duration", "movie title", "gross collection", "budget", "title year", etc. You will explore the following:

Know top ten movies with the highest profits.
Know top rated movies in the list and average IMDB score.
Plot a graphical representation to show the number of movies released each year.
Group the movies into clusters based on the Facebook likes.
Group the directors based on movie collection and budget.

Project #2: Real Estate Price Prediction

Industry: Business Intelligence and Analytics

Description: The goal of this Use-case is to make predictions using Real Estate market data. The dataset contains the of the price of apartments in Boston. This data contains values such as "crime rate", "age", "accessibility", "population" etc. Based on this data, decide on the price of new apartments.

Project #3: Diabetes Prediction

Industry: Healthcare

b>Description: The Use-Case focuses on making predictions based on the patient’s characteristic data set, the dataset contains attributes such as "glucose level", "blood pressure", "age" etc. At last, the goal is to make a high accuracy machine learning model to predict, whether a patient is Diabetic or not.

Project #4: Recommendation System for Grocery Store

Industry: Food Retail Industry

Description: The Use-Case scenario is to create recommendations for customers of a grocery store based upon historical transaction data, which could recommend preferable articles.

Project #5: Twitter Analytics

Industry: Social Media Analytics

Description: This Use-Case focuses on social media analytics. The problem can be defined as Measuring, Analyzing, and Interpreting interactions and associations between people, topics and ideas. The dataset to be analyzed is captured by Live Twitter Streaming. You have to do the following:

Perform Sentiment analysis on the tweets obtained and visualize the conclusions.
Compare two football clubs, based on the tweets they are receiving from their fans.

Project #6: Air Passengers Forecasting

Industry: Commercial Aviation

Description: This Use-Case is about analyzing the data and applying time series model to forecast the number of bookings an Airline firm can expect each month. The dataset we will analyze contains monthly totals of international airline passengers between 1949 to 1960.You have to make informed decisions on staffing, hospitality and pricing for tickets.

R Programming for Data Science Course Features

Instructor-led Sessions

30 Hours of Online Live Instructor-led Classes. Weekend class: 10 sessions of 3 hours each. Weekday class: 15 sessions of 2 hours each.

Real-life Case Studies

Live project based on any of the selected use cases, involving the implementation of Data Science.

Assignments

Each class has practical assignments which shall be finished before the next class and helps you to apply the concepts taught during the class.

Lifetime Access

You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS.

24 x 7 Expert Support

We have a 24x7 online support team available to help you with any technical queries you may have during the course.

Certification

Towards the end of the course, you will be working on a project. Edureka certifies you as a 'Data Science Expert' based on the project.

Forum

We have a community forum for all our customers wherein you can enrich their learning through peer interaction and knowledge sharing.

R Programming for Data Science Training FAQs

What if I miss a live Data Science with R Programming class?

You will never lose any lecture. You can choose either of the two options:

View the recorded session of the class available in your LMS.
You can attend the missed session, in any other live batch.

Will I Get Placement Assistance once the Data Science with R training is over?

To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.

What is the most recommended learning method after completing the Data Science with R Programming certification course?

Upon completing the Data Science with R Course, You can consider taking the Data Scientist Course.

Can I attend a Data Science with R Demo Session before Enrolment?

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrolment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.

Who are the instructors at Edureka R Programming online course?

All the instructors at Edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by Edureka for providing an awesome learning experience.

How do I become Data Science with R Programmer?

To become an R programmer, you require education in IT, Computer Science, or any related field. Once you have this, you can pursue an R certification for a more in-depth understanding.

What if I have more queries related to the R language certification course?

You can Call us at +91 98702 76457 /1844 230 6362 ( US Tollfree ) OR Email us at sales@edureka.co . We shall be glad to assist you.

What is R Programming used for?

R programming language is utilized to cleanse statistical computing graphics and analyze and display data. Enrolling in a Data Science with R course will allow you to learn about R and its applications in greater detail.

What are the other Data Science courses offered by Edureka apart from this?

Other Data Science courses offered by Edureka are:

View course curriculum

Be future ready. Start learning

Structure your learning and get a certificate to prove it.

Data Science with R Programming Certification Training Course in Delhi

Why should you take Data Science with R Certification in Delhi?

Instructor-led Data Science with R Certification live online classes

Financing Options

Data Science with R Programming Course Curriculum

Introduction to Data Science with R

Statistical Inference

Data Extraction, Wrangling and Exploration

Introduction to Machine Learning

Classification Techniques

Unsupervised Learning

Recommender Engines

Text Mining

Time Series

Deep Learning

Data Science with R Programming Certification Course Description

About Data Science with R Certification Course

What are the objectives of our Data Science using R Programming Course?

Why should you go for Data Science with R Training?

What are the skills that you will be learning with our Data Science using R Training?

Who should go for this Data Science with R certification course?

What are the pre-requisites for Edureka's Data Science with R Course?

Testimonial Reviews

Video Reviews

Data Science with R Programming Certification Projects

What are the system requirements for this Data Science using R Training?

How will I execute the practicals in the Data Science with R Training course?

Which projects are included in this Data Science R Programming certification course?

R Programming for Data Science Course Features

Instructor-led Sessions

Real-life Case Studies

Assignments

Lifetime Access

24 x 7 Expert Support

Certification

Forum

R Programming for Data Science Training FAQs

What if I miss a live Data Science with R Programming class?

Will I Get Placement Assistance once the Data Science with R training is over?

What is the most recommended learning method after completing the Data Science with R Programming certification course?

Can I attend a Data Science with R Demo Session before Enrolment?

Who are the instructors at Edureka R Programming online course?

How do I become Data Science with R Programmer?

What if I have more queries related to the R language certification course?

What is R Programming used for?

What are the other Data Science courses offered by Edureka apart from this?

Related Category Courses

Trending Courses

Find Data Science with R Programming Certification Training Course in other cities

Trending Courses in Delhi

AWS Training in Delhi for Solutions Architect

Big Data Course in Delhi

PMP® Certification Training in New Delhi

Data Science with Python Course in Delhi

Java Training Course in Delhi

DevOps Training Course in Delhi

Selenium Training in Delhi

Tableau Certification Training Course in Delhi

Informatica Certification Training Course in Delhi

Salesforce Admin 201 Training in Delhi

Salesforce Training Course in Delhi for Admin And App Builder

Power BI Training Course in Delhi

RPA using UiPath Certification Training in Delhi

Python Training Course in Delhi

Machine Learning Course in Delhi

GCP Training in Delhi

Cyber Security Course in Delhi

Certified Scrum Master® (CSM) Certification Training in Delhi

Microsoft Azure Training in Delhi (AZ 305)

Trending Master Courses

Data Scientist Course Master Program

DevOps Engineer Masters Program

Cloud Architect Masters Program

Big Data Architect Masters Program

Machine Learning Course Masters Program

Full Stack Web Developer Masters Program Course

Business Intelligence Masters Program

Data Analytics Masters Program

Automation Testing Engineer Masters Program

Post Graduate Diploma in Artificial Intelligence Course