Data Science with R Course
Data Science with R Course Overview
Data Science with R Training in Bangalore
MNP Technologies located in Marathalli, Bangalore is a leading training institute providing real-time and placement oriented Data Science with R Training Courses in Bangalore. Our Data Science with R training course includes basic to advanced levels. we have a team of certified trainers who are working professionals with hands-on real-time Data Science with R projects knowledge which will provide you an edge over other training institutes.
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Our Data Science with R training center is well equipped with lab facilities and excellent infrastructure for providing you real-time training experience. We also provide certification training programs in Data Science with R Training. We have successfully trained and provided placement for many of our students in major MNC Companies, after successful completion of the course. We provide placement support for our students.
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Our team of experts at MNP Technologies Training Institute, Bangalore have designed our Data Science with R Training course content and syllabus based on students requirements to achieve everyone’s career goal. Our Data Science with R Training course fee is economical and tailor-made based on training requirement.
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We Provide regular training classes(daytime classes), weekend training classes, and fast-track training classes for Data Science with R Training in our centers located in Bangalore. We also provide Online Training Classes for Data Science with R Training Course.
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MNP Advantage
- Real Time Trainers
- 100% Placement
- Small Batch Size
- Flexible Timings
- Excellent Lab Facility
- Practical Guidance
- Hands on Experience
- Certification Support
Training Modes
Clasroom Training
Online Training
Corporate Training
Our Happy Students!
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Data Science with R Course Syllabus
Introduction to R
- Â Â Â Â Â What is R?
- Â Â Â Â Â Why R?
- Â Â Â Â Â Installing R
- Â Â Â Â Â R environment
- Â Â Â Â Â How to get help in R
- Â Â Â Â Â R Studio Overview
Understanding R data structure
- Â Â Â Â Â Variables in R
- Â Â Â Â Â Scalars
- Â Â Â Â Â Vectors
- Â Â Â Â Â Matrices
- Â Â Â Â Â List
- Â Â Â Â Â Data frames
- Â Â Â Â Â Cbind,Rbind, attach and detach functions in R
- Â Â Â Â Â Factors
- Â Â Â Â Â Getting a subset of Data
- Â Â Â Â Â Missing values
- Â Â Â Â Â Converting between vector types
Importing data
- Â Â Â Â Â Reading Tabular Data files
- Â Â Â Â Â Reading CSV files
- Â Â Â Â Â Importing data from excel
- Â Â Â Â Â Loading and storing data with clipboard
- Â Â Â Â Â Accessing database
- Â Â Â Â Â Saving in R data
- Â Â Â Â Â Loading R data objects
- Â Â Â Â Â Writing data to file
- Â Â Â Â Â Writing text and output from analyses to file
Manipulating Data
- Â Â Â Â Â Selecting rows/observations
- Â Â Â Â Â Â Rounding Number
- Â Â Â Â Â Creating string from variable
- Â Â Â Â Â Search and Replace a string or Number
- Â Â Â Â Â Selecting columns/fields
- Â Â Â Â Â Merging data
- Â Â Â Â Â Relabeling the column names
- Â Â Â Â Â Data sorting
- Â Â Â Â Â Data aggregation
- Â Â Â Â Â Finding and removing duplicate records
Using functions in R
- Â Â Â Â Â Apply Function Family
- Â Â Â Â Â Commonly used Mathematical Functions
- Â Â Â Â Â Commonly used Summary Functions
- Â Â Â Â Â Commonly used String Functions
- Â Â Â Â Â User defined functions
- Â Â Â Â Â local and global variable
- Â Â Â Â Â Working with dates
R Programming
- Â Â Â Â Â While loop
- Â Â Â Â Â If loop
- Â Â Â Â Â For loop
- Â Â Â Â Â Arithmetic operations
Charts and Plots
- Â Â Â Â Â Box plot
- Â Â Â Â Â Histogram
- Â Â Â Â Â Pie graph
- Â Â Â Â Â Â Line chart
- Â Â Â Â Â Scatterplot
- Â Â Â Â Â Developing graphs
- Â Â Â Â Â Cover all the current trending packages for Graphs
Machine Learning Algorithm:
- Â Â Â Â Â Sentiment analysis with Machine learning
- Â Â Â Â Â C 5.0
- Â Â Â Â Â Support vector Machines
- Â Â Â Â Â K Means
- Â Â Â Â Â Random Forest
-      Naïve Bayes algorithm
Statistics:
- Â Â Â Â Â Correlation
- Â Â Â Â Â Linear Regression
- Â Â Â Â Â Non Linear Regression
- Â Â Â Â Â Predictive time series forecasting
- Â Â Â Â Â K means clustering
- Â Â Â Â Â P value
- Â Â Â Â Â Find outlier
- Â Â Â Â Â Neural Network
- Â Â Â Â Â Error Measure
Leading Topics:
- Â Â Â Â Â Overture of R Shiny
- Â Â Â Â Â What is Hadoop
- Â Â Â Â Â Integration of Hadoop in R
- Â Â Â Â Â Data Mining using R
- Â Â Â Â Â Clinical research preface in R
- Â Â Â Â Â API in R (Twitter and Facebook)
- Â Â Â Â Â Word Cloud in R
Frequently Asked Questions
Trainer
Our Data Science with R Trainers
- Have more than 10 Years of experience in Data Science with R Technologies
- Has worked on multiple realtime Data Science with R projects
- Working in a top MNC company in Bangalore
- Trained more than 2000+ Students so far.
- Strong Theoretical & Practical Knowledge
- Certified Professionals
Our Data Science with R Placement Team
- Has Trained & Placed 2000+ Students
- 92% percent Placement Record
- 1000+ Interviews Organized
Our Data Science with R Training centers
- Bangalore Center
- Marathalli Center
- White Field Center
- K R Puram Center
- BTM Center
- Cunningham Road Center
- J P Nagar Center
- Kammanahalli Center
- Ganga Nagar Center
- Koramangala Center
- Vijaya Nagar Center
- Malleswaram Center
- Ramamurthy Nagar Center
- Indira Nagar Center
- Jaya Nagar Center
- Richmond Road Center
- Rajaji Road Center
- Mathikere Center
Data Science with R Regular Batch ( Morning, Day time & Evening)
- Seats Available : 8 (maximum)
Data Science with R Weekend Training Batch (Saturday, Sunday & Holidays)
- Seats Available : 8 (maximum)
Data Science with R Fast Track batch
- Seats Available : 5 (maximum)
Data Science with R Online batch
- Seats Available : 5 (maximum)
Course
Our Data Science with R Course Duration is
- Approximately 40 Hrs, Interactive & Practical Training Sessions
- Assignments & Projects will be ProvidedÂ
Data Science with R Course is Suitable for
- Windows administrators
- Software developers
- Unix system administrators
- Database administrators
- Solutions architects
- Technical support executives
- And anyone who is interested in Data Science with R.
Both are great but are suited for different categories of people. So, those who are time- pressed, are employed, or are busy otherwise, can benefit from online training. It will save time, and trainees will be able to utilize their idle time by taking lessons. There are other benefits too. For instance, they don’t need to be physically present at their training Centre, which not just saves time but also money. This is also helpful when there is no training Centre nearby to enroll for classroom training. Having said that, classroom training has its own upsides too, which we all know of. So, go for whatever suits you best.
- We have excellent trainers for Data Science with R with rich experience in industry.
- 100% student satisfaction rate in Data Science with R training
- More than 1000 students completed training in Data Science with R
- Excellent Lab facility for Data Science with R Training
- We have excellent rating till date, overall 4.9 Rating in Google & Facebook.