Data Science with R

(783 Review)
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Learn Data Science with R Classroom Training & online classes.

Our approach for Data Science with R Training would be 100% Practically oriented. We use multiple assignments for each topic covered in class.
Well-experienced working professionals conduct this training. These experts have good knowledge of R, Python, SAS, etc. Data Science online course is offered to audiences from all over the countries.

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What you’ll learn from

Data Science with R course?

Course Agenda

    • Why Data Science
    • Why Statistics?
    • Why Now?
    • Introduction to Statistics.
    • Various Data Types
      • Various Measurement Scales
      • Mean
      • Median
      • Mode
      • Standard Deviation
      • Measures of Dispersion
      • Point Estimation
      • Confidence Interval for Means
      • Confidence Interval for Variance
      • Sample Size and Margin
      • Errors
      • What is Machine Learning?
      • Types of Machine learning
            Learning Supervised
            Learning Unsupervised
            Reinforcement Learning
      • Application of Machine Learning
      • Evolution of Machine Learning
      • ANOVA
      • Univariate Regression
      • OLS Regression
      • Assumptions of linear regression
      • Analyzing the output of the regression with R
      • Residual analysis
      • Multiple Linear Regression
      • Dealing with Multicollinearity
      • Logistic Regression
      • Why logistic regression
      • Logit, Log of odds, Interpreting the output
      • Regularization
      • K-Means clustering
      • Hierarchical clustering
      • How decision trees work
      • Interpreting the output
      • Bagging
      • Boosting
      • Stacking
      • Random Forests
      • XG-Boost

More Information about R & Data Science

Why R Software is used for
Data Science & Machine Learning ?

R is a programming language and environment which is widely used for statistical Computing  Data Analysis and Data Visualization. It is an open source software which is similar to the S Language.

Using the R environment and it’s open libraries, users can generate a wide variety of Statistical and graphics techniques like linear, nonlinear modeling, cluster analysis and much more. Which is extensible.

R is capable to collect data in real time, perform Statistical Data Analysis and Data Visualization. Because of its simplicity, R is the most popular programming language among Business Analytics and Data Science Professionals. Another advantage of using R for Statistical Data analysis is its rich packages repository having more than 9100 packages, which easy to download and use for every need of data Analytics.

dplyr-Rpackageplyr

Tasks: Data wrangling, data analysis

It has great & simple “verbs”functions that helps user to perform exploratory data analysis and manipulation.


dplyr-RpackageReadxl

Tasks: Import data

Fast way to read Excel files in R, without dependencies such as Java. CRAN. The readxl package makes it easy to get data out of Excel and into R. Compared to many of the existing packages (e.g. gdata, xlsx, xlsReadWrite) readxl has no external dependencies, so it’s easy to install and use on all operating systems. It is designed to work with tabular data.


dplyr-Rpackagedata.table

Tasks: Data Manipulation

Data.table(Extension of ‘data.frame) is fastest package for data Manipulation. Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, friendly and fast character-separated-value read/write. Offers a natural and flexible syntax, for faster development.


dplyr-Rpackage reshape2

Tasks: Reshape Data

reshape2 package is useful in reshaping data. Flexibly restructure and aggregate data using just two functions: melt and ‘dcast’ (or ‘acast’).


dplyr-RpackageReadr

Tasks: Read Rectangular Text Data

The goal of ‘readr’ is to provide a fast and friendly way to read rectangular data (like ‘csv’, ‘tsv’, and ‘fwf’). It is designed to flexibly parse many types of data found in the wild, while still cleanly failing when data unexpectedly changes.


dplyr-RpackageTidyr

Tasks: Easily Tidy Data

An evolution of ‘reshape2’. It’s designed specifically for data tidying (not general reshaping or aggregating) and works well with ‘dplyr’ data pipelines.


dplyr-RpackageLubridate

Tasks: dates and time manipulation

Lubridate is an R package that makes it easier to work with dates and times. Below is a concise tour of some of the things lubridate can do for you.


 dplyr-Rpackage Ggplot2

Tasks: Data Visualization Most Popular for Graphical display of data .

Most Powerful, flexible and well-thought-out Data Visualization package following ‘grammar of graphics’ syntax to create static graphics.


dplyr-Rpackage Ggvis

Tasks: Interactive, web based graphics

Declaratively describe data graphics with a syntax similar in spirit to ggplot2.


dplyr-Rpackage Rgl

Tasks: Interactive 3D visualizations with R

It provides an interactive viewpoint navigation facility (mouse + wheel support) and an R programming interface.


dplyr-RpackageCorrplot

Tasks: graphical display of a correlation matrix.

It is very useful to highlight the most correlated variables in a data table. Attempts to improve on base R graphics by providing better defaults and the ability to easily display multivariate relationships.


dplyr-RpackageLattice

Tasks: Data Visualization

To improve on base R graphics by providing better defaults and the ability to easily display multivariate relationships. In particular, the package supports the creation of trellis graphs – graphs that display a variable or the relationship between variables, conditioned on one or more other variables.

 
 
 
 

dplyr-Rpackagemlr

Tasks: Machine Learning in R

Provides supervised methods like classification, regression and survival analysis along with their corresponding evaluation and optimization methods, as well as unsupervised methods like clustering.


dplyr-RpackageXgboost

Tasks: Machine Learning in R

Xgboost is short for eXtreme Gradient Boosting package. The package includes efficient linear model solver and tree learning algorithms. The package can automatically do parallel computation on a single machine which could be more than 10 times faster than existing gradient boosting packages. It supports various objective functions, including regression, classification and ranking. The package is made to be extensible, so that users are also allowed to define their own objectives easily.


dplyr-RpackageGlmnet 

Tasks: forecasts for time series data
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. Two recent additions are the multiple-response Gaussian, and the grouped multinomial regression. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the paper linked to via the URL below.


dplyr-RpackageProphet

Tasks: Automatic Forecasting Procedure


Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
dplyr-Rpackageh2o

Tasks: Deeplearning, Random forests, GBM, KMeans, PCA, GLM

offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models, Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (AutoML).

Students Reviews

Join Our Most Popular and high rated Course. Contact our course Advisor Now.

Mrinmoy das
Mrinmoy das
Analytst
Read More
I have completed my course in Data Science using R, and I must say, I am very much confident about the course now. The great thing about the course is that the faculty is too experienced, and he also helped me in hands-on practical. I'm fully satisfied with the training provided by Technovids.
Akshay
Akshay
Security Analyst
Read More
I joined R Online training for Data Science, and the online training was flawless as the instructor was well experienced. Technovids also provided me job assistance on this technology. After completing this course, I got placed in one of the I.T firms. I'm happy to recommend this course to freshers and experience as well.
Pradeep M.
Pradeep M.
NA
Read More
Technovids is one of the best institutes for Data Science training in Bangalore. I belong to the functional background, so I lack the technical knowledge part. But all credit goes to the trainer as he made the training easy for me and clarified my questions with a lot of patience.
M. Sridhar
M. Sridhar
Support Executive
Read More
I was trained by Technovids academy on Data Science by one of the notable trainers, and he helped me complete the course with throughout understanding of the subject. The session recordings were also provided, which enabled me to revise the class while going for an Interview.
Priyadarshini
Priyadarshini
Fresher-MBA
Read More
I would like to give more than five stars to Technovids academy as trainers are skillfully and experienced. The best part of the Training is that, being able to ask questions and clear up things. I must say classes are flexible as I could complete the course while doing my regular occupational activity.
Pawan Reddy
Pawan Reddy
Data Manager
Read More
I did the Data Science course from Technovids. I Learnt data science from scratch. The trainer taught us the concepts, along with real-time examples. We learned Data Management, basic statistics, R Programming, and much more.
Dinkar
Dinkar
Job Seeker
Read More
I just completed my engineering and wanted to join a professional training. After a bit of research I joined the Technovids for Data Science Training Online. It was good; I could sharpen my skills along with real-time examples. Technovids also helped me with some job interviews. Thanks, Technovids team.
Bandhunath
Bandhunath
Intern
Read More
I did my data science Online course from Technovids & happy that I could clear all of my doubts & learned so many things, which i don't think that anyone can learn from self-learning courses. It's worth paying for the live session rather than just looking at the low cost and joining the self-learning courses.
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R For data Science Classroom Training has its advantages as you learn in a group, Will have group class, Personalized human touch with participants and trainer. you gain knowledge form trainer as well as from other participants.

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R Data Science online Training has its advantages as you learn from anywhere, Instructor-Led online R classes are as good as classroom training. Assignment and Practice tests are shared for every topic. Get free demo.

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R Pragraming Fast-Track training.

It has its advantages as you complete Training fast with one to one trainer interaction Fasttrack R Training is delivered via classroom and online mode. where you will attend long hour customized Training as per your Requirement.

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 If you are looking to train your team in R data Science. We can help you to deliver a fully customized R Programing Training by our expert trainers at your location across India. Send us your Requirement at [email protected]

Have a Question?

FAQ

We are here to help you 7 days a week and respond within 24 hours. Plus, you can find most answers to your questions right on this page.

    • Machine Learning is changing the complete environment of our work.
    • 200,000 Trained Data Scientists Shortage in India. – The Hindu
    • 190,000 Data Scientist shortage by 2018 in the US alone. – McKinsey
    • Data Scientist is an impressive $116,000 Salary. – Glassdoor
    • Data scientists are one of the highest-paid professionals in the technological industry.
    • There are several further developments expected over the coming years.
    • Data science roles are starting to become more specialized.
    • It is becoming more common to see many professionals on a large team with differing backgrounds.
    • predictive analytics professionals, many of whom have begun picking up the computer science skills necessary to transition into data science roles.
    • Any graduate with an interest in data science.
    • Working professionals looking for a transition to a Data Science career.
    • Working professionals or managers who want to use data science in their work for decision making.
    • Corporate training – Corporates who want to train their employees on data science.
    • Students who want to start their career in Data Science.
    • College faculties who want to either teach or get a feel of practical data science.
    • As a part of the R training course, you will be learning the usage of R language from basic to advanced level.
    • We will cover all the most used/prominent R-Packages as a part of this training like Plyr, Data.table, ggplot2, goggles, outliers, LSMeans, RegTest, Binom Tools etc.
    • The theory will be accompanied by sufficient no of the practical session which will give confidence to all the users/ learners of Data Science with R course.
    • R is one of the most used statistical analysis tools in the industry, we make sure that you are being a learner from us should understand R tool better and practice effectively once you are getting into the industry.

Technovids always focuses on the quality of the training. We have the group of experienced faculties available who have got 10+ years of real-time work experience in the main, also they have got enough exposure to provide the Data Science training using R tool and Python up to expert level.

The Technovids trainers, the team will keep its content up to date as per real-time changing industrial need. In case for R programming for corporate training, our comments are customizable as per specified need.

Technovids has got wide experience in delivering Business Analytics training. We have delivered almost 2000+ sessions for Microsoft Excel, VBA/Macros, Machine Learning /Deep Learning using Python, R & SAS. Also delivered online Training on Data Visualization tools like Tableau, QlikView, Power BI, Microstrategy, Spotfire.

Data Science with R training duration is 48 hours, which we conduct online training or weekend classroom Training.

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In Data Science corporate training, using R is recommended for five full days (8 hours each session).

Technovids provide all kinds of Data Science & BI training using R tool and Python, which includes classroom training, online training & corporate training. If you are looking for one to one Data Science Training online, please call us at +91-8618346384.

Yes, Our Data Science Classes are delivered based on real-time scenarios using case-based studies and also multiple hands-on assignments. As a part of data Science training, we cover at least 2-3 projects during the training. Apart from this, every concept is explained with the relevant example and suitable exercise, which helps participants to understand concepts with ease.

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