Data Science using R Programming

Data Science is the most sought-after factors in the present-day scenario. On the wake of increasing amount of data accumulated every day, one requires a sophisticated methodology – Data Science - to arrive sane results out of insanely humongous data. Data Science can be applied to data using any one of the tools available which includes R Programming.

R Programming is one of the most widely used analytics tool for performing Data Analysis apart from SAS and Python. R has huge capabilities and has rich statistical and reporting functionalities. R Programming like other programming languages has its own set of syntaxes, variables, and tool-specific capabilities which will be covered in the training.

At the outset, students will be taught the basic concepts of R Programming which includes syntaxes, variables, data types, operators, control statements, switch, loops, functions, data frames, data manipulation, data extraction, pivoting, database source connectivity, CSV and Excel file loading, loading SAS, SPSS, STATA files, web crawling, R Statistics, charts and graphs, third-party R Packages.

Going further, once the candidates gets hang of basics of R Programming, our program will move on Data Science in which various algorithms such as Classification, Clustering and Regression will be discussed in detail along with their real-time use cases and examples. Candidates will be given periodic assignments after completion of certain concepts, which will be evaluated by the trainer.

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Topics Covered in Data Science using R Programming


We at Ampersand Academy, devised excellent methodology for training Data Science using R Programming. Our Data Science using R Programming can be opted by anyone with or without R Programming Knowledge. Candidates who are experienced in R Programming can kick off directly in to Data Science and those who have no knowledge can start with R Programming and then move on to Data Science. Our unique approach enables students to get the best out of the training.

Scope of Data Science using R Programming

Various positions offered for Data Science using R Programming:
• Data Science Associate
• Data Scientist
• Data Science Engineer
• Analytics Engineer
• Intelligence Officer
• Analyst

Prerequisite for learning Data Science using R Programming

1. Basic computer handling skills.
2. Basics of Statistics (not mandatory).

Why learn Data Science using R Programming in Ampersand Academy?

1. Trainer:
We have one of the best trainers for Data Science Program who has got immense knowledge in R Programming and Data Science. Trainer carries deep knowledge and understanding working in several domains. Trainer is student friendly and imparts his knowledge to students effectively by giving periodic assignments.
2. Course Curriculum:
We offer one of the best course curriculum for Data Science using R Programming which makes us the best training institute for Data Science using R Programming.