R Programming Training

R Programming Training

R Programming Training

Learn how to use R Programming from beginner level to advanced techniques which is taught by experienced working professionals. With our R Programming Training in Pune, Mumbai, and Thane you’ll learn concepts in expert level with practical manner.

R Programming Classroom Training

Get real-time training with R programming Certified Experts. Enroll now to becomeR programming Certified Associate and Professional.
Approx Duration: 30 Hours
Rs. 18000/-

What is R Programming?

R Programming is a powerful statistical programming language which is used for predictive modelling and other data mining related techniques. R programming can be used for data manipulation,data aggregation,statistical Modelling,Creating charts and plots. R programming is becoming the most sought after skill in the field of analytics for its open source credibility. It is a simple programming language which requires no pre-requisites unlike other programming languages. There are many spectacular packages available in R that will help in a brief data analysis. R can also be collaborated with other data management tools like excel, access, Oracle, sql server which makes it a powerful tool.

Why R Programming?

R programming along with a substantial knowledge of statistics can help candidates to have a great career in data Analytics. R is also an widely used tool in many big firms like top Banks, IT, Retail, Healthcare, Pharma, Supply chain and logistics firms. Analyzing large datasets can be done in a shorter period with the help of R programming. There is a huge shortage in the market for professionals with skills in R programming which makes it more interesting to pursue. Since R is a free software it is being widely used which creates a lot of opportunities for professional who are looking to pursue a career in R Programming.

Batch Schedule for R Programming Training

GoalsInfo Cloud Technologies provides flexible timings to all our students. Here are the R Programming Training Classes in Pune, Mumbai, and Thane Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

11-07-2019 Starts Coming Thursday (Monday – Friday)08:00 AM (IST)Course Fees

15-07-2019 Starts Coming Monday (Monday – Friday)08:00 AM (IST)Course Fees

13-07-2019 Starts Coming Saturday (Saturday – Sunday)11:00 AM (IST)Course Fees

13-07-2019 Starts Coming Saturday (Saturday – Sunday)10:00 AM (IST)Course Fees

What we do at GoalsInfo Cloud Technologies for R Programming?

In order to become a successful professional in the field of analytics real time applications should be studied in detail. Hands on Experience with the combination of statistical concepts will be provided by only experts who are dealing with real scenarios in R programming on a daily basis in their respective industry.

Total Duration: 30:00:00 hrs

Module 1- Introduction to Data Analytics   (Duration: 04:00:00 hrs)

Objectives:

  • This module introduces you to some of the important keywords in R like Business Intelligence, Business Analytics, Data and Information.
  • You can also learn how R can play an important role in solving complex analytical problems.
  • This module tells you what is R and how it is used by the giants like Google, Facebook, etc.
  • Also, you will learn use of ‘R’ in the industry, this module also helps you compare R with other software in analytics, install R and its packages.

Topics :

  • Business Analytics, Data, Information
  • Understanding Business Analytics and R
  • Compare R with other software in analytics
  • Also, you will learn use of ‘R’ in the industry, this module also helps you compare R with other software in analytics, install R and its packages.
  • Install R
  • Perform basic operations in R using command line
  • Learn the use of IDE R Studio
  • Use the ‘R help’ feature in R

Module 2- Introduction to R programming   (Duration: 03:00:00 hrs)

Objectives:

  • This module starts from the basics of R programming like datatypes and functions.
  • In this module, we present a scenario and let you think about the options to resolve it, such as which datatype should one to store the variable or which R function that can help you in this scenario.
  • You will also learn how to apply the ‘join’ function in SQL.

Topics :

  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using c, Cbind, Rbind, attach and detach functions in R
  • Factors

Module 3-Data Manipulation in R   (Duration: 04:00:00 hrs)

Objectives:

  • In this module, we start with a sample of a dirty data set and perform Data Cleaning on it, resulting in a data set, which is ready for any analysis.
  • Thus using and exploring the popular functions required to clean data in R.

Topics :

  • Data sorting
  • Find and remove duplicates record
  • Cleaning data
  • Recoding data
  • Merging data
  • Slicing of Data
  • Apply functions

Module 4- Data Import techniques in R   (Duration: 04:00:00 hrs)

Objectives:

  • This module tells you about the versatility and robustness of R which can take-up data in a variety of formats, be it from a csv file to the data scraped from a website.
  • This module teaches you various data importing techniques in R.

Topics :

  • Reading Data
  • Writing Data
  • Basic SQL queries in R
  • Web Scraping

Module 5- Exploratory Data Analysis   (Duration: 05:00:00 hrs)

Objectives:

  • In this module, you will learn that exploratory data analysis is an important step in the analysis.
  • EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis. You will also learn about the various tasks involved in a typical EDA process.

Topics :

  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing graphs

Module 6- Overview of Machine Learning techniques   (Duration: 05:00:00 hrs)

Objectives:

  • This module touches the base Statistics, Machine learning techniques used in the Industry and will cover case studies.

Topics :

  • Standard deviation
  • Outlier
  • Linear regression
  • Multiple regression
  • Logistic regressions
  • Correlation

Module 7- Project Work   (Duration: 05:00:00 hrs)

Objectives:

  • 1 Real-time project

FAQ's

Call now: +91 – 99231 15877 and know the exciting offers available for you!

GoalsInfo Cloud Technologies offers 250+ IT training course in more than 20+ branches with 10+ years Experienced Expert level Trainers.

  • Fully hands-on training
  • 30+ hours course duration
  • Industry expert faculties
  • Completed 1500+ batches
  • 100% job oriented training
  • Certification guidance
  • Own course materials
  • Resume editing
  • Interview preparation
  • Affordable fees structure

GoalsInfo Cloud Technologies is the Legend in offering placement to the students. 

More than 2000+ students placed in last year. It has a dedicated placement portal which caters to the needs of the students during placements. GoalsInfo Cloud Technologies conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.

  • 92% percent placement record.
  • 1000+ interviews organized.

No worries. GoalsInfo Cloud technologies assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.

GoalsInfo Cloud Technologies provides many suitable modes of training to the students like

  • Classroom training
  • One to One training
  • Fast track training
  • Customized training

You will receive GoalsInfo Cloud Technologies globally recognized course completion certification.

Yes, GoalsInfo Cloud Technologies provides group discounts for its training programs. To get more details, visit our website and contact our support team via Call, Email, Live Chat option or drop a Quick Enquiry. Depending on the group size, we offer discounts as per the terms and conditions.

Please Contact +91 9923115877 Or you can share your queries through [email protected]