Data Science with R


The training on Data Science with R provides the skills required to work with real data sets and provide an opportunity to use data to provide data-driven strategic and tactical recommendations. This training will provide some insights on techniques such as linear and logistic regression, ANOVA, Segmentation, Ensemble models, SVM and machine learning in big data. In addition to technical skills, the program also allows students to build effective leadership and communication skills to advance their career upon graduation.

Who Should Take-up This Course

Any IT experienced Professional who are interested to build their career in development/ data scientist.

Any B.E/ B.Tech/ BSC/ MCA/ M.Sc Computers/ M.Tech/ BCA/ BCom College Students in any stream.

Fresh Graduates.

What are the prerequisites for taking this course

No prior knowledge is mandatory to this course.

Passion towards learning programming and statistics is essential

Course Content

  • Introduction to R programming
  • Introduction to the R language
  • Basic features of R
  • Import and Export data in R
  • Merge / Join
  • Programming statistical graphics
  • Programming with R
  • Data Manipulation Techniques using R programming
  • Reading and Writing Data
  • Reading Vectors and Matrices
  • Dates, Factors, and Subscripting
  • Character Manipulation
  • Reshaping Data, Data Manipulation
  • Missing Value and Outlier
  • Introduction to Statistics:
  • Descriptive Statistics
  • Hypothesis Testing
  • ANOVA, and Chi-Square Tests
  • Correlation, and Regression Analysis
  • Dummy Variable Analysis
  • Variable Selection Procedure for Regression
  • Logistic Regression
  • Cluster Analysis
  • Decision Tree
  • Market Basket Analysis
  • Random Forest

Duration: 45 days