R Programming - Data Science Training
Learn R Programming - Data Science Training to Unleash a Modern Career
Average Rating 4.2 From 762 Students
About Course
R programming online training at SMC is what you require in today's competitive programming languages. R is a programming language mostly used for statistical computing, graphical representation, and reporting work. It is used by most Statisticians, Data Scientists and Data Analysts in their day to day activities. Initially, you will learn what is the role of a Data Scientist in the team and how the R language became a useful tool for them.
You will learn the basic syntax, data types, variables, operators, conditionals, loops, and functions in R. Next, you go through the data structures part in R like lists, Matrices, arrays, vectors, data frames, and dictionaries. You will learn Data interfaces and packages available in R.
You will master R packages for statistical analysis which includes implementing different types of distributions, survival analysis, Chi-square tests, and many more. You will also learn how to represent data in charts and graphs like Pie, Bar, Box, Histograms, and scatter plots. Let us dive into R!!!
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Self Paced Online Learning
The Self Paced format allows you to stream the course content from anywhere across the globe with a good Internet connection. There is no defined schedule, you can watch them at your comfortable time. Get Started.
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Instructor Led Live Training
We deliver Instructor-led online course via your personal computer through an easy-to-use web conferencing tool that allows for real-time interaction between you and the trainer. Get Expert guidance tailored for you.
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R Programming - Data Science Training Course Content
1. R Basics
- R Base Software
- Understanding CRAN
- RStudio The IDE
- Sequence of Numbers
- Vectors
- Basic Operations
- Operators and Types
- R Functions
2. Linear Regression in R
- Covariance and Correlation
- Multivariate Analysis
- Hypothesis Testing
- Limitations of Regression
- Business Case: Managing Credit Risk
- Loss Given Default using Linear Regression
3. Logistic Regression in R
- Reason for Logistic Regression
- The Logistic Transform
- Logistic Regression Modelling
- Model Optimisation
- Understanding ROC Curve
- Default Modelling using Logistic Regression in R
4. Support Vector Machine
- Classification as a Hyper Plane Location Problem
- The motivation for Linear Support Vectors
- Quadratic Optimization
- Non-Linear SVM
- Kernel Functions
- Default Modelling using SVM in R
5. Decision Trees
- Theory of Entropy & Information Gain
- Stopping Rules
- Cross Validations for Overfitting Problem
- Pruning as a Solution for Overfitting
- Ensemble Learning
- Bootstrap Aggregation
- Random Forests
- Intrusion Detection in IT Network
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We will customize the R Programming - Data Science Training course content according to your job requirements.
Certification
Once you are successfully through the project, you will be awarded an SM Consultant’s R Programming - Data Science Training Completion Certificate for the course.
SM Consultant’s certification has industry recognition, and we are the preferred training partner for many organizations.
SM Consultant’s Certificate Holders work at 100s of companiesFrequently Asked Questions About R Programming - Data Science Training
1. When will I receive my joining instructions for R Programming - Data Science Training?
Joining instructions for R Programming - Data Science Training is sent two days prior to the course start date, or immediately if the booking is confirmed within this timeframe.
2. How are you better than the other classes? Past achievements?
As they say, “History speaks for itself”, the past achievements would give you a good picture of our reputation, and would also tell you what extra efforts we put in to achieve it.
3. Do you offer a R Programming - Data Science Training Demo or Trial class before joining?
We offer 1 demo classes to students. Just make sure that you select the subject and time of the class so that you get an independent assessment of the quality of teaching and you can take an informed decision.
4. What’s the batch size? Will I get personal attention?
An average batch size could be min. 4-5 and max. 8-10 but irrespective of the batch size you will get personal attention and our trainers will help you understand the technology.
5. What if I am not able to attend or miss a session?
If you are unable to attend your session we will help you understand the session by sharing the recording of the live session and still if you need more assistance, we will arrange a backup session for you.
6. Can I access the R Programming - Data Science Training course material after training?
Yes, you will get the material in pdf format and will have access to the R Programming - Data Science Training recordings.
Have More Questions?
Do let us know if you need more information we will be happy to help you!