Data Science with R

Specialize in Data Science with R. Acquire practical skills for visualizing, transforming, and modelling data in R. Learn data exploration, data visualization, predictive analytics, and descriptive analytics techniques. Create the highest quality analysis in the least amount of time as R builds in data analysis functionality by default. With just a few lines of R programming code, you can analyze through complex data sets, manipulate data through sophisticated data modelling functions, and build sleek graphics to represent numbers.

  • 40 hours of Live Online Instructor-led Classes by Industry Experts
  • 10 hours of Case Study based Project
  • 20 hours self-paced learning through assignments
  • Practical hands-on approach to R, data science and data manipulation
  • Verified Certificate from NIIT
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About Data Science with R

The Data Science with R course focuses on imparting in-depth knowledge of various techniques for data analytics using R. The course includes real-life projects, case studies, and includes R CloudLabs for practice.

Master R language: The course provides an in-depth understanding of the R language, R-studio, and R packages. You will learn the various types of apply functions including DPYR, gain an understanding of data structure in R, and perform data visualizations using the various packages available in R.

Master advanced statistical concepts: Learn various statistical concepts like linear and logistic regression, cluster analysis, and forecasting with predictive data analytics. You will also learn hypothesis testing techniques.

Case Study Based Project: As a part of the course, you will be required to execute real-life projects using CloudLab. There are four case study based projects.

Course Objectives

This course will enable you to:

  • Gain a foundational understanding of business analytics
  • Install R, R-studio, and workspace setup. You will also learn about the various R packages
  • Master the R programming and understand how various statements are executed in R
  • Gain an in-depth understanding of data structure used in R and learn to import/export data in R
  • Define, understand and use the various apply functions and DPLYP functions
  • Understand and use the various graphics in R for data visualization
  • Gain a basic understanding of the various statistical concepts
  • Understand and use hypothesis testing method to drive business decisions
  • Understand and use linear, non-linear regression models, and classification techniques for data analysis
  • Learn and use the various association rules and Apriori algorithm
  • Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering
Curriculum
Module 1:

Introduction to the Concepts of Data Analytics and R

Module 2:

R Data structures

Module 3:

Using R for Statistics

Module 4:

Data Visualization

Module 5:

Data Manipulation

Module 6:

Introduction to Machine Learning, DRT

Module 7:

Clustering, MBA

Module 8:

Linear, Logistic regression with R

Module 9:

Decision Tree,Naïve Bayes

Module 10:

SVM,NN,Ensemble Learning

Module 11:

Project Explanation

Module 12:

Time series Analysis with R

Module 13:

Text Analytics with R

Instructor

Instructors are handpicked from a selected group of industry experts and mentors and trained to deliver the best online learning experience. All training.com instructors have at least ten years of industry experience and extensive functional expertise in the field they train.

Certification
  • The assessment will be done on the basis of an online test and Project Evaluation at the end of the course.
  • Weightage of Project Evaluation is 30% and that of Online test is 70%. Minimum pass percentage for online test is 70.
  • On completion of the Assessment (Project + Test) with a minimum of 70% marks, training.com will issue a certificate of successful completion from NIIT.
  • Five re-attempts will be provided to clear online test in case the candidate scores less than 70%.
  • A Participation certificate will be issued if the candidate does not score 70% in the Assessment.
  • Soft copy of the certification will be issued to the participants, on completion of the course.
Pre-requisites

Learner should have basic knowledge of statistics and computer programming. Preferably a reasonable level of proficiency in any data handling tool like MS Excel.

FAQs

What is the Case Study based Project which I need to develop as part of this program?

Project 1: HOME LOAN ELIGIBILITY CHECK

A Home Loans firm provides all kinds of home loans in small, medium and big cities. When any prospective customer needs a home loan, he applies for the same and the firm checks the eligibility of that customer to avail that loan.

The firm needs to check for the loan eligibility through an automated system. Customer would enter the details in an online form like are Name, location, Educational qualification, Date of birth, Monthly income, details for family members, amount of loan needed, details of loan availed from elsewhere etc. Once the process identifies the eligible customers, the firm would focus selling their products to them on priority. As a Data Scientist, you need to devise this loan eligibility prediction model. In other words, you will tell the company by your solution that whether customer applied for loan will default or not in future!

Project 2: MOBICOM CASE STUDY

At Mobicom, you are a business analyst and have been urgently called into a meeting with the marketing head and retention manager. The agenda of this meeting is to discuss the results of Industry survey reports that have been just released. In response to these reports, senior management at Mobicom is concerned that the market environment of rising churn rates and declining ARPU will hit them even harder as churn rate at Mobicom is relatively high. Currently they have been focussing on retaining their customers on a reactive basis when the subscriber calls in to close the account. But this alone does not seem to be enough and the management team is keen to take more initiatives on this front. One of these is to roll out targeted proactive retention programs, which include usage enhancing marketing programs to increase minutes of usage (MOU), rate plan migration, and a bundling strategy among others. To be able to effectively drive these retention strategies, a few key questions of interest require urgent attention and you been given the task of showcasing data based insights and recommendations relating to subscriber churn.

Who should join this course?

Skilled data scientists are in higher demand in all industries. This course is addresses the needs of participants at all levels of experience like:

Technology professionals looking for better career prospects in the field of data science and analytics

Software developers looking forward to opportunities in data science and analytics

Graduates aspiring for a great career in analytics and data science

Experienced professionals who need to harness the power of data science in their field of work

Why should I join this course?

The term “data scientist” is the most happening and the hottest job title in the IT field. Starting salaries match upto $100,000, which is 22% more than other job roles (Source: http://www.burtchworks.com ). R programming is the best tool for most jobs that involve data. It is the most popular programming language that data scientists use. It is in heavy use at several large organisations like Microsoft, Google and Facebook. R programming in academia is important because it creates a pool of talent that feeds the data industry. The best way to learn R is by doing. This course is designed to master various R programming concepts for data analytics by implementing various real-life and industry-based projects.

What happens if I miss a session?

All the live sessions are recorded and available for later view. Learners can refer to recordings of a missed session at their convenience.

Where can I find my session schedule?

The session schedule will be available in the training.com Student portal - Learning Plan section. You can login to your training.com account to view the same.

Do you provide any study materials?

The study material will be available in the training.com Student portal - Resources section. You can login to your training.com account to view the same.

What is your refund policy?

Upon registering for the course, if for some reason you are unable or unwilling to participate in the course further, you can apply for a refund. You can initiate the refund any time before start of the second session of the course by sending an email to support@training.com , with your enrolment details and bank account details (where you want the amount to be transferred). Once you initiate a refund request, you will receive the amount within 21 days after confirmation and verification by our team. This is provided if you have not downloaded any courseware after registration.

What are the minimum system requirements to attend the program?

    Minimum system requirements for accessing the courses are:

  • Personal computer or Laptop with web camera
  • Headphone with Mic
  • Broadband connection with minimum bandwidth of 1 Mbps . However, recommend is 2 Mbps.
  • A self-diagnostic test to meet necessary requirements to be done is available at

    https://na1cps.adobeconnect.com/common/help/en/support/meeting_test.htm

    Please note that webcam, mike and internet speed cannot be verified through this link.

Is there an official support desk for technical guidance during the training program?

Yes. For immediate technical support during the live online classroom sessions, you can call 91-9717992809 or 0124-4917203 between 9:00 AM and 8:00 PM IST. You can write to support@training.com for all other queries and our team will be happy to help you.

Course Features

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