Training Language: English, தமிழ்
Become a Data Analyst with
our R Programming Training in Chennai
We offer in-depth one-on-one, corporate, academic training for
R Programming through both online and classroom training.
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Data Analytics using
R Programming
R is an open-source programming language and software environment used to perform statistical analysis and graphics. R is widely leveraged by statisticians and data miners to perform various data analyses and to develop applications to perform statistics. R is "GNU S" – A language and environment for data manipulation, calculation and graphical display.
What do we cover in
R Programming Training?
Here is the brief list of topics that we cover as a part of
the R Programming Data Analytics training
1. Introduction to R Programming
This section will deal with RDBMS Concepts, Data Storage, security, Data Warehousing, Introduction to R, R Packages, Data Visualization.
2. Installing R and R Studio
In this section, you will learn how to install R in Windows, Mac and Ubuntu and post R Installation; you’ll learn how to install R Studio.
3. Data Types and Operators
This section will cover various data types such as Numeric, Integer, Logical, Complex, Character, Vector, List, Matrix, Factor and Data Frames. We will also focus on various operators such as arithmetic, assignment, relational, logical, and other operators.
4. Strings
This section will focus on various strings length, upper-lower, split, substring, length, replace, and more.
5. Dates and Control Statements
This section will deal with Date, Time, Formatting Date, Conversion to Date, Extracting parts of Date and Time Zones. We will also cover topics such as if, if-else, else if and nested if under control statements.
6. Switch and Loops
In this section, we will focus on the Key, Key-value pair under the switch and in loops, we will concentrate on Repeat, While, For, Break, Next and Nested loops.
7. Built-in Functions
This section will cover various built-in functions such as Sum, Min, Max, Count, Average, Sequence, Repetition, Range, Sort, Order, Subset, Apply, Bind and Rim.
8. User-defined Functions
This section will focus on How to write a function, Function with Parameter, Calling a Function by position and Name, Calling a Function with Default Value, Lazy Evaluation and more.
9. Vectors and Lists
This section will cover Vector Creation, Vector Subset, Vector Merge, Vector Recycling, Sorting of Vector, Handling of NA Values, Creating Lists, Naming List Elements, Subsetting Lists, Merging List, List to Vector and more.
10. Matrices and Factors
We will cover Matrix Creation, Column Matrix, Create Row Matrix, Matrix Transpose, Matrix Multiplication, and Factors.
11. Data Frames
This section will cover Data Frame concepts such as Data Frame Creation, Structure of Data Frames, Subsetting Data Frames, Adding New columns, Adding New rows, Formatting Data and more.
12. Regular Expression and Data
This section will cover Grep, Grepl, Regexpr and more. You will learn to Read and Write CSV, Read and Write Excel, Read and Write JSON, Read and Write Text files, Databases(MySQL), Read SAS files, SPSS files, Stat file and more.
13. Web scraping and RestAPI
This section will teach you to do web scraping using the R Package and read data using RestAPI.
14. R Package
This section will cover various R Packages such as SQLDF, PLYR, DPLYR, Data Table, Stringr, Tidyr and more.
15. Charts and Graphs
This section will focus on Bar Charts, Pie Charts, Boxplots, Histograms, Line Charts, Scatterplots, Google Visualization, ggplot2 and more.
16. R Statistics
This section will focus on Mean, Median, Mode, Normal Distribution, Binomial Distribution, Analysis of Variance, Correlation, Quantile, Chi-Square and more.
Download R Programming Course Curriculum
Get our R Programming Curriculum in your mail box.
Why you should
learn R Programming in
Ampersand Academy
Learn why you should choose us to learn R Programming. Here are a few of the reasons:
Classroom Training
We offer R Programming Data Analytics Training through classroom mode where personal face-to-face interaction with the trainer happens. In the wake of Covid-19, we are strictly following only one-on-one and appointment-based classes. Furthermore, our trainers are fully vaccinated, and we follow all Covid-19 guidelines for the safety of both students and trainers.
Online Training
We offer one-on-one or batch training to our students online, which works through Google Meet. Our online R Programming training program is also trainer-led, where we handle both domestic and international students who wish to learn R Programming. The students from Chennai also can mix the classes both online and classroom subject to the trainer's availability.
Academic Training
We offer R Programming to college students where our trainers visit the institution and conduct classes for the students. We can customize the R Training program for Colleges or Universities based on preferences such as Workshops, Seminars and Semester-wide programs.
Corporate Training
We offer R training to the corporates through visiting their office premises, or their professionals can take up a classroom or online training based on their preferences. We also do on-job mentoring for the corporates if required. Even the customization of course curriculum based on their specific requirement is possible.
Scope of R Programming
Various positions offered for R Language
- Data Analyst
- Data Scientist
- Research Scientist
- Business Analyst
- R Data Analyst
- Data Analyst
Prerequisite to join R Programming Course
1. Basic computer handling skills.
2. Basics of Statistics (not mandatory). R does not need any prerequisite since it is easy to learn and got varied scope.
