R Programming Course for Data Science

BY
Intellipaat

Elevate your career and master the concept of R programming to enter into the domain of data science through the certification course provided by Intellipaat.

Mode

Online

Fees

₹ 14022

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based
Frequency of Classes Weekdays, Weekends

Course overview

Data science has evolved into one of the greatest streams in terms of business. Data science works on data extraction, processing and helps in making the decisions better. The R programming language is for graphics and statistical computing. This is supported by the R core team and R foundation. The certification program of Data Science Certification with R Programming Course by Intellipaat of R programming shall help the candidate to gain full knowledge of  R programming. The online course will guide you in data manipulation with R, advanced analytics, and data visualization topics like regressions and data mining using RStudio. 

Data Science Certification with R Programming Course training is of the 40 hours instructor-led- training, 16 hours self-paced videos, and 32 hours project and exercise. Further, the platform also includes job assistance which prepares the candidate for mock interviews and placements. As per the growing demand of data scientists, the course shall benefit the learner in getting a desirable job in a prominent MNC. The course also allows the candidate to give their hands-on practical training for enhancement in their knowledge. After the completion of the course, the candidate shall receive Data Science Certification with R Programming Course certification by Intellipaat. 

Also read, 

Introduction to R programming certification course by IBM 

The highlights

  • 100% Online course 
  • Certification 
  • 40 hours instructor-led-training
  • 16 hours self-paced videos
  • 32 hours projects and exercise
  • Flexible schedule

Program offerings

  • Online course
  • 40 hours instructor-led training course
  • 16 hours self-paced videos
  • 32 hours project training
  • Convenient learning
  • Video demonstration
  • Assessments
  • Certification
  • Job assistance.

Course and certificate fees

Fees information
₹ 14,022

Intellipaat offers two learning modes to the learners, self-paced learning and online classroom training. Both the modes have different fees and perks. It is favorable for the learners to choose classroom training as it also provides job assistance and 24*7 support. In addition to this, there is a third mode of corporate training that enables the organization to skill up their employees. The details of the fees are mentioned below in the table:

Fee structure for the Data Science Certification with R Programming Course

Course name 

Fee in INR

Data Science Certification with R Programming Course self-paced learning 

Rs. 14,022

Data Science Certification with R Programming Course corporate learning

 -

certificate availability

Yes

certificate providing authority

Intellipaat

Who it is for

The Data Science Certification with R Programming Course is for people who have experience in Data Science and want to upgrade their skills in the domain. Moreover, the people who want to make their career in Data science shall be benefited from this course. 

Eligibility criteria

A basic understanding of programming is required for taking the Data Science Certification with R Programming Course classes. 

Certification Qualifying Details 

Data Science Certification with R Programming Course certification course shall work on the overall development of the candidate in R programming. R programming is an essential skill that is seen by recruiters in candidates in the domain of data science. With the growing demand for data science, the course has benefited many learners. The course by Intellipaat also offers 24*7 support to the candidates for solving their doubts. In addition to this, the program also gives mentor support and job assistance. The job assistance feature also helps the candidates with their interviews and placement. Moreover, the projects also help the candidates with the practical training, and it shall prepare them for the job. Data Science Certification with R Programming Course certification can be given to the learners after completing the projects and the associated assessments. 

What you will learn

R programming

Data Science Certification with R Programming Course online course is developed with the aim of providing full knowledge of R programming to the learners. R programming is designed for varied purposes like statistical analysis, graphic representation, and reporting. The course shall help to gain an understanding of the core understanding of importing data of statistical computing, Business Analytics, data manipulation, Machine Learning algorithms, and data visualization. At the end of the course, the learner is able to master the following skills: 

  • Data Analytics concepts of R programming language and the functioning of R Calculator
  • Stack, Merge and Strsplit
  • Creating the pie charts, plots, and the vectors
  • Assigned value to the variables and also generated repeat and factor levels
  • Understanding the sorting, analyzing variance, and the cluster
  • ODBC tables reading, and linear and logistic regression
  • Database connectivity
  • Deploying R programming for Hadoop applications

The syllabus

Introduction to R

  • R language for statistical programming
  • Various features of R
  • Introduction to RStudio
  • Statistical packages
  • Familiarity with different data types and functions, learning to deploy them in various scenarios, use SQL to apply ‘join’ function
  • Components of RStudio like code editor
  • Visualization and debugging tools 
  • Learn about R-bind

R Packages

  • R functions
  • Code compilation, and data in well-defined format called R Packages
  • R Package structure
  • Package metadata and testing
  • CRAN (Comprehensive R Archive Network)
  • Vector creation and variables values assignment

Sorting DataFrame

  • R functionality
  • Rep function
  • Generating repeats
  • Sorting and generating factor levels
  • Transpose and stack function

Matrices and Vectors

  • Introduction to matrix and vector in R
  • Understanding various functions like 
    • Merge
    • Strsplit
    • Matrix manipulation
    • rowSums
    • rowMeans
    • colMeans
    • colSums
    • sequencing
    • repetition
    • indexing
    • other functions

Reading Data from External Files

  • Understanding subscripts in plots in R
  • How to obtain parts of vectors
  • Using subscripts with arrays, as logical variables, with lists 
  • Understanding how to read data from external files

Generating Plots

  • Generate plots in R, graphs, bar plots, line plots, histograms, and components of a pie chart

Analysis of Variance (ANOVA)

  • Understanding analysis of variance (ANOVA) statistical technique
  • Working with pie charts and histograms
  • Deploying ANOVA with R, one-way ANOVA, and two-way ANOVA

K-Means Clustering

  • K-Means clustering for cluster and affinity analysis
  • Cluster algorithm
  • The cohesive subset of items
  • Solving clustering issues
  • Working with large datasets
  • Association rule mining affinity analysis for data mining, and analysis and learning co-occurrence relationships

Association Rule Mining

  • Introduction to Association Rule Mining
  • Various concepts of Association Rule Mining
  • Various methods to predict relations between variables in large datasets
  • Algorithm and rules of Association Rule Mining
  • Understanding single cardinality

Regression in R

  • Understanding what is simple linear regression
  • Various equations of line, slope, Y-intercept regression line
  • Deploying analysis using regression
  • The least-square criterion
  • Interpreting the results 
  • Standard error to estimate and measure of variation.

Analyzing Relationship with Regression

  • Scatter plots 
  • Two-variable relationship
  • Simple regression analysis, and line of best fit

Advanced Regression

  • Deep understanding of measure of variation
  • The concept of co-efficient of determination
  • F-test, the test statistic with an F-distribution 
  • Advanced regression in R and prediction linear regression.

Logistic Regression

  • Logistic regression mean 
  • Logistic regression in R

Advanced Logistic Regression

  • Advanced logistic regression
  • Understanding how to predict using logistic regression
  • Ensuring if the model is accurate
  • Understanding sensitivity and specificity, confusion matrix 
  • What is ROC, a graphical plot illustrating binary classifier system and ROC curve in R for determining sensitivity/specificity trade-offs for a binary classifier.

Receiver Operating Characteristic (ROC)

  • Detailed understanding of ROC
  • The area under ROC curve
  • Converting the variable
  • Data set partitioning
  • Understanding how to check for multicollinearity
  • How two or more variables are highly correlated 
  • Building of model 
  • Advanced data set partitioning 
  • Interpreting of the output 
  • Predicting the output
  • Detailed confusion matrix and deploying the Hosmer-Lemeshow test for checking whether the observed event rates match the expected event rates

Kolmogorov–Smirnov Chart

  • Data analysis with R
  • understanding the Wald test 
  • MC Fadden’s pseudo R-squared 
  • the significance of the area under the ROC curve 
  • Kolmogorov–Smirnov chart which is a non-parametric test of a one-dimensional probability distribution.

Database Connectivity with R

  • Connecting to various databases from the R environment
  • Deploying the ODBC tables for reading the data and visualization of the performance of the algorithm using the confusion matrix

R Case Studies

  • Logistic Regression Case Study
  • Multiple Regression Case Study
  • Receiver Operating Characteristic (ROC) Case Study

Admission details

To cover the Data Science Certification with R Programming Course certification syllabus one must enroll into the course with the steps mentioned below: 

Step 1: Visit the Intellipaat portal or click on the link

https://intellipaat.com/r-programming-certification-training/

Step 2: Click on the ‘Enroll Now’ Tab and select the learning mode. 

Step 3: Fill in the required details and edit the cart. 

Step 4: Pay the Data Science Certification with R Programming Course certification fee

Step 5: Start your Data Science Certification with R Programming Course. 

How it helps

The Data Science Certification with R Programming Course certification benefits the candidates by inculcating the skills of R programming. The projects shall also help them to get exposure to the work. The whole understanding of the R programming language will be given to learners. In addition to the R programming, Intellipaat also gives job assistance to the learners for preparing them for the interviews. Mentioned below are the projects that one shall complete within the duration of certification completion:

  • The complete understanding of R programming
  • The project of Restaurant revenue prediction 
  • The project of Data analytics 
  • The project of Finance 
  • The project of Stock market
  • Job assistance 
  • The peer learning feature for discussion with juniors and information regarding technical events

FAQs

What is the benefit of the job assistance feature of Data Science Certification with R Programming Course online course?

The feature shall help the candidate in exploring the job opportunities and prepare them for the job interview. The certification is recognized in many prominent companies and hence, it shall pave the way for jobs.

How can one solve their doubts?

Intellipaat offers 24*7 support for the candidates for solving their doubts. 

What is the benefit of peer learning?

Peer learning allows interaction between juniors and seniors. Moreover, it is the platform to share information regarding technical events. 

What is in the career mentoring session?

This is the general doubt solving session which shall also guide the candidates for the opportunities in Data Science. 

Is there any discount for the group joining?

Intellipaat offers discounts for group joining depending upon the size of the group. One can talk to the Intellipaat advisors for the same.

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