R Programming Training
What you'll learn
- Analyzing Real Datasets using R
- Manipulating R Vectors, R Data Frames, Arrays and Matrixes
- Plotting Data Using R
- Develop your own Functions in R
- Load Excel Files with R
- Compute Basic Statistics about a Dataset
- Install External Libraries to Power up R
- Manipulate data with the Tidyverse ecosystem of packages
- Transform data: best practices of when and how
- Hypothesis testing in R programming training.
- Understand and carry out regression analysis in R
- Have fun by taking apart Star Wars and Pokemon data, as well some more serious data sets
- Aggregate, Sort Data, and Subset Data
- Projects with Statistical data in R
Our Training Process
Practical Session
Assignment
Projects
Resume Building
Interview Preparation
Be Job Ready
Practical Session
Assignment
Projects
Be Job Ready
Interview Preparation
Resume Building
Key Highlights
- Personalised career coach
- 90% Practical Training
- Certification
- 100% Placement Assistance
- Study material
- Instant doubt solving
- Mock Interviews
- Case studies and Projects
35 Hrs
Training Duration
25000+
Students Trained
1000+
Hiring Companies
12.5 LPA
Highest Fresher Salary
Course Content
- Installing R and RStudio.
- The RStudio Interface.
- Installing and Activating R Packages.
- Setting the Working Directory.
- Basic Operations in R.
- Working With Variables.
- Creating Vectors With the c() Function.
- Create Vectors Using the Colon Operator.
- Creating Vectors With the rep() Function.
- Create Vectors With the seq() Function.
- Creating Vectors of Random Numbers.
- Create Empty Vectors.
- Indexing Vectors With Numeric Indices.
- Indexing Vectors With Logical Indices.
- Naming Vector Components.
- Filtering Vectors.
- The Functions all() and any().
- Sum and Product of Vector Components.
- Vectorized Operations.
- Treating Missing Values in Vectors.
- Sorting Vectors.
- Minimum and Maximum Values.
- The ifelse() Function.
- Adding and Multiplying Vectors.
- Testing Vector Equality.
- Vector Correlation.
- Creating Matrices With the matrix() Function.
- Create Matrices With the rbind() and cbind() Functions.
- Naming Matrix Rows and Columns.
- Indexing Matrices.
- Filtering Matrices.
- Editing Values in Matrices.
- Adding and Deleting Rows and Columns.
- Minima and Maxima in Matrices.
- Applying Functions to Matrices.
- Adding and Multiplying Matrices.
- Other Matrix Operations.
- Creating Multidimensional Arrays.
- Indexing Multidimensional Arrays.
- Create Lists With the list() Function.
- Create Lists With the vector() Function.
- Indexing Lists With Brackets.
- Indexing Lists Using Objects Names.
- Editing Values in Lists.
- Adding and Removing List Objects.
- Applying Functions to Lists.
- Working With Factors.
- Splitting a Vector By a Factor Levels.
- The tapply() Function.
- The by() Function.
- Creating Data Frames.
- Loading Data Frames From External Files.
- Writing Data Frames in External Files.
- Indexing Data Frames As Lists.
- Indexing Data Frames As Matrices.
- Selecting a Random Sample of Entries.
- Filtering Data Frames.
- Editing Values in Data Frames.
- Adding Rows and Columns to Data Frames.
- Naming Rows and Columns in Data Frames.
- Applying Functions to Data Frames.
- Sorting Data Frames.
- Shuffling Data Frames.
- Merging Data Frames.
- For Loops.
- While Loops.
- Repeat Loops.
- Nested For Loops.
- Conditional Statements.
- Nested Conditional Statements.
- Loops and Conditional Statements.
- User Defined Functions.
- The Return Command.
- More Complex Functions Examples.
- Checking Whether an Integer Is a Perfect Square.
- A Custom Function That Solves Quadratic Equations.
- Binary Operations.
- Creating Strings.
- Printing Strings.
- Concatenating Strings.
- String Manipulation.
- Functions for Finding Patterns in Strings.
- Functions for Replacing Patterns in Strings.
- Regular Expressions.
- Building Scatterplot Charts.
- Setting Graphical Parameters.
- Adding a Trend Line to a Scatterplot.
- Building a Clustered Scatterplot.
- Plotting a Line Chart.
- Setting the Line Parameters.
- Overplotting Lines and Dots.
- Plotting Two Lines in the Same Chart.
- Plotting Bar Charts.
- Setting the Bar Parameters.
- Plotting Histograms.
- Plotting Density Lines.
- How to plot Pie Charts.
- Plotting Boxplot Charts.
- Plotting Functions.
- Exporting Charts.
- Introduction to the apply family.
- Tapply and the by command.
- Eapply, sapply, lapply.
- Vapply, replicate, mapply.
- Rapply and summary.
- Apply family exercises.
- Apply family solutions.
- COVID-19 Tracker
- News Headline Classifier
- Stock Market Forecasting
- Exploring Spotify Data
- Analyzing World Population Data
- Detecting Credit Card Fraud
- Identifying SMS Spam
Skills you will gain
Course Certification
This certificate serves as an official badge of your successful R Programming training course completion, highlighting your expertise.
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Frequently Asked Questions (FAQs)
What is the duration of the course?
Total duration is approximately 1.5 months along with Live Projects.
Is there 100% Placement Guarantee after the course is over?
We provide 100% placement assistance for our R training course in Mumbai.
Are there any prerequisites before starting R Training?
No, previous coding experience is not required.
Who teaches R?
At TryCatch, our team consists of seasoned experts with over 15 years of experience. A skilled R Developer will be guiding students, encouraging them to ask questions without hesitation, and enabling us to effortlessly address all your inquiries.
Is the course Online or Offline?
This R course is available offline & online both. You may choose whatever is feasible for you.
Offline course can be done at our Borivali Branch in Mumbai.
Online Live Course can be done on Zoom or Google Meet.
Who can learn R?
This course is designed for everyone, even if you’re studying Commerce, Arts, or Mechanical subjects, or if you’re still in school. It doesn’t matter what your background is, you can definitely learn this course.
What software and tools do I need for this course?
All the tools required for this training will be installed during the course
Will I receive a certificate upon course completion?
Upon completion of the course, you will receive an official global R certificate. This certificate serves as an official badge of your successful course completion, highlighting your expertise.
Can I interact with instructors and ask questions during the course?
Absolutely! Our instructors are always available to answer all your questions and solve your doubts.
Are there any real-world projects or case studies in the course?
Yes, we incorporate real-world projects and case studies into the course to help you apply what you’ve learned in practical scenarios.
Is there a money-back guarantee if I’m not satisfied with the course?
We offer a satisfaction guarantee. If you are not satisfied with the course within a specified timeframe, you can request a refund.
Companies where our students are placed
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Here's everything you're going to get
- Easy-to-follow modules
- Study Materials
- Tutorials
- Interview Q&A Library
- Industry Oriented LIVE Projects
- Mock Interviews
- Get Internship
- Access to Private Jobs Group
- Be Job Ready