R Programming
R programming courses offer a dynamic learning experience tailored to meet the demands of the data-driven world. Whether you're delving into data analysis, statistical modeling, or data visualization, our comprehensive curriculum equips you with the essential skills to thrive in these domains. Our expert instructors bring industry insights and hands-on expertise to the classroom, ensuring that you grasp the intricacies of R programming with ease. Join our vibrant learning community in Coimbatore and unlock the power of R programming to propel your career forward in today's competitive landscape.
Description
About R Programming
About R Programming
At Edukators Coimbatore, we provide both online and offline R programming course or R programming training to fresher and professionals. These courses are specially designed to give you the skills you need for analyzing data, creating visualizations, and doing statistical modeling. Our expert team will guide you with practical training sessions and provide personalized help so that you can make the most of R programming for your projects. Whether you’re just starting out or have experience, our courses are suitable for everyone. Start your journey to becoming an R programming expert and take your career to the next level in the growing field of data science by joining us at Edukator Coimbatore.
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Benefits of taking course with us!
Taking a course in R Programming offers numerous benefits for individuals seeking to excel in the realm of data analysis and statistical modeling. Firstly, mastering R equips you with a powerful toolset to efficiently manipulate, analyze, and visualize data, enabling you to extract meaningful insights and make informed decisions. Additionally, R's extensive library of packages provides access to a wide range of statistical techniques and machine learning algorithms, allowing you to tackle diverse data challenges with ease. Moreover, proficiency in R enhances your employability, as it is widely used across industries for data analysis and research. By learning R Programming, you not only enhance your analytical skills but also open doors to exciting career opportunities in data science, research, and academia. Whether you're a beginner or an experienced professional, investing in R Programming education is a valuable step towards advancing your career and staying competitive in today's data-driven world.
Course Details
- What is Programming Language
- How does computer programming work?
- Most used programming languages
- Characteristics of a programming Language
- Basic Terminologies in Programming Languages
- Advantages of programming languages
- Disadvantages of programming languages
- Types of programming languages
- What is R programming
- History of R Programming
- Features of R programming
- Why use R Programming?
- Comparison between R and Python
- Applications of R
- Setting Up Environment
- Writing first programming in R
- R Command Prompt
- R Script File
- Syntax of R Programming
- Variables in R Programming
- Assignment of variable
- Keywords in R Programming
- Comments in R Programming
- Character
- Raw
- Numeric
- Integer
- Complex
- Logical
- Arithmetic Operators
- Relational Operators
- Logical Operators
- Assignment Operators
- Miscellaneous Operators
- R If Statement
- If-else Statement
- else if Statement
- R Switch Statement
- R Next Statement
- R Break Statement
- R For Loop
- R Repeat Loop
- R While Loop
- What is a function
- creating first function and calling it
- Arguments
- Parameters
- Difference between Parameters and Arguments
- Default Parameter Value
- Return in function
- Nested Functions
- Recursion
- Global Variables
- Built in function in R
- R Vectors
- R Lists
- R Arrays
- R Matrix
- R Data Frame
- R Factors
- Apply(), lapply(), sapply(), tapply()
- Transpose a Matrix
- Joining rows and columns in Data Frame
- Merging Data Frame
- Melting and Casting
- Melt the Data
- Casting of Molten Data
- What is R Debug?
- Essentials principles of Debugging
- Whats is Error Handling and Recovery
- try (), and trycatch ()
- What is Object-Oriented Programming in R?
- Objects and Classes in R
- S3 Class
- Inheritance
- Encapsulation
- Polymorphism
- Abstraction
- R CSV File
- R Excel File
- R Binary File
- R JSON File
- R XML File
- Introduction to Database
- Introduction to MYSQL
- What is Tables
- Rows and Columns
- CRUP operations
- Keys
- Joins
- Comments
- Operators
- Queries
- Constraints
- Indexes
- R Data Visualization
- R Pie Charts
- R Bar Charts
- R Boxplot
- R Histogram
- R Line Graphs
- R Scatterplots
- Linear Regression
- Multiple Regression
- Logistic Regression
- Poisson Regression
- Normal Distribution
- Binomial Distribution
- R Classification
- Time Series Analysis
- R Random ForestT-Test in R
- Chi-Square Test
Requirements
Job opportunities for R Programming
There are various job opportunities available for individuals with R skills. Here are some potential job opportunities:
- Data Analyst
- Data Scientist
- Statistical Analyst
- Research Analyst
- Business Intelligence Developer
- Quantitative Analyst
- Machine Learning Engineer
- Tech lead or Architect
- Freelancer
- Educator or Trainer
- Startups or innovative projects
FAQ's about R Programming at Edukators
Yes, R is widely used for data science. In fact, it’s one of the most popular programming languages for statistical analysis, data visualization, and machine learning tasks in the field of data science.
R is a powerful open-source programming language and software environment primarily used for statistical computing and graphics. It provides a wide variety of statistical and graphical techniques and is highly extensible.
Learning R Programming opens up various career opportunities, including roles such as Data Analyst, Data Scientist, Statistical Analyst, Research Analyst, Business Intelligence Developer, and more. R is widely used in industries such as finance, healthcare, marketing, and research, making it a valuable skill in the job market.
There are no specific prerequisites for learning R Programming at Edukators. However, having a basic understanding of programming concepts and familiarity with statistical methods can be beneficial.
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