1. Home
  2. All Course
  3. Data Science
  4. Data Science With R
data-science-with-r

Data Science with R

data-science-with-r data-science-with-r 315 Google reviews 64 students enrolled

R is an open source interpreted programming language for statistical computing and graphical visualization. R is widely used for data mining, statistical software, and data analysis.

Once, students are conversant with R, a detailed study of data science which includes data mining & machine learning, starts using R. Machine Learning covers the linear & generalized linear models, KNN, Naïve Bayes, Tree based models, SVM, K-means, Association rule, performance measures, dimension reduction techniques, randomization, cross validation, bootstrapping, ROC & AUC, and confusion matrix.

This course prepares one on the practical applications of Machine Learning algorithms & techniques using R

Data Science with R View Course Schedule

OUR ALUMNI

INSTRUCTOR LED TRAINING IN

DATE TIME COURSE TYPE PRICE

No Training available

{{ training.From_Date }} - {{ training.To_Date }}

{{ training.From_Date }}

(1 Days) ({{ training.Training_Week_Type }})

({{ training.DCount }} Days) ({{ training.Training_Week_Type }})

{{ training.From_Time }} - {{ training.To_Time }}

{{ training.Currency_Type }} {{ training.Price }}.00

{{ training.Currency_Type }} {{ training.Price }}.00

{{ training.Currency_Type }} {{ training.Offer_Price }}.00

valid till: {{ training.Valid_Date }}

 ENROLL NOW ENROLL NOW

TRAINING DATE

 

  • {{ dat.Date | days }}

    {{ dat.Date | mdate }}

TRAINER

VENUE

{{ training.Venue }}
View More Batches View Less

Can't find convenient schedule? Let Us Know

DESCRIPTION

R is an open source interpreted programming language for statistical computing and graphical visualization. R is widely used for data mining, statistical software, and data analysis.

This 100-hour classroom course introduces the students with fundamentals and advanced level of R programming, right from data types, vectors, matrices, controls, loops, functions, packages, importing data, visualization, to packages like - dplyr, caret, tidyr, stringr, ggplot2, shiny. Once, students are conversant with R, a detailed study of data science which includes data mining & machine learning, starts using R. Machine Learning covers the linear & generalized linear models, KNN, Naïve Bayes, Tree based models, SVM, K-means, Association rule, performance measures, dimension reduction techniques, randomization, cross validation, bootstrapping, ROC & AUC, and confusion matrix. 

This course prepares one on the practical applications of Machine Learning algorithms & techniques using R. Students can start solving the real-world problems.

  • Project Work
  • Installing R studio, programming basics, features, data types, vectors, matrices, controls, loops, and functions
  • Packages:

                + Importing data from excel, web & databases

                + Data pre-processing – Missingness, outliers, errors

                + Manipulating data - Imputing

                + Visualization & spatial packages

                + Modelling data using various data mining algorithms 

                + Report & result – R markdown, shiny

                + Timeseries & financial data – zoo, xts, quantmod

                +Project using R and Machine Learning concepts

  • Basic knowledge of Linear Algebra, Calculus, Statistics, and Probability.
  • Knowledge of basics of programming

Quick Enquiry Form

Our Testimonials

Sureshkumar Somanathan

I have attended PgMP virtual session from Addon Skills during Feb end. It was wonderful and their expert trainer explained with real time examples which give a lot of insight on Program management. I would like to thank Addon Skills for their support and direction to clear my PgMP exam. They identified my gaps and asked me to focus the areas which required more attention. Without Addon Skills support and perseverance, it would not be possible for me to clear the exam in 2 months effort.

Deepak Gupta

I passed PgMP exam on 12th June 2018. I can confidently say no other study material and QB is needed, if you go to Addon Skills material and Question banks. I have gone through Addon Skills QB two times.

Dr. Chandramouli Subramanian

Attended Pfmp training by Addon skills, Mr. Kailash in the month of Oct 2020. it was a wonderful experience refreshing PPP concepts. He is passionate about explaining all doubts in detail. value delivered clearly aligned with the stated and unstated goals. He reinforced all important points. His tips on how to fill application was a value Added: He took the entire training concisely. I recommend this to all portfolio managers.

Jeeva Iyer

Excellent trainer for PMP and PMI related certifications. Very practical approach and exam oriented as well.

Muzaffar Sheikh

PMP training with Kailash was an amazing journey as he is very knowledgeable and has an excellent approach to explaining content with good examples.

View Similar Courses