DataScience with R Training in Chennai

We are providing best DataScience with R training in Chennai with experienced professionals. Our DataScience with R training syllabus very depth and carrier oriented. Using this course you can learn Data analysis and Predictive Models from experienced professionals.

Orange TechnoMind providing the real-time and placement focused DataScience with R Training in Chennai, This course syllabus covers basic to advanced level and it helps to get the placement in any MNC companies. We designed training syllabus based on industry standard. Our trainers are certified and working professionals with hands on real time knowledges.

Using this course, you learns fundamental of Data Science Concept, how to use R programming on Data Science, R Programming,Statistics, Hypothesis. And also you learn best practice on Predictive Models and Machine Learning


This course is designed for Data Analytics Designer, Developers, Data Scientist, Job Seekers and IT professionals who want to learn Business Intelligence and Analytics using advanced technologies

DataScience with R Syllabus

Orange Techno mind Introduction to Data Science

  • What is Data Science
  • Scenarios on Data Science
  • How Data Science helps for Organization?
  • Explain different types of data
  • Structured, Unstructured data and Machine generated data
  • Understanding on Data Science Process
  • Explain on Research Goal
  • Data Processing on Data Science
  • Explain on Data Science Projects

Orange Techno mind Getting Start With R

  • Overview of R
  • Why R for Data Science
  • Download and Installing R
  • Installing R Studio
  • Eclipse
  • Live-R
  • Project Workspace Setup
  • Understanding on R Packages
  • Installing Packages
  • Load Libraries and Installed Packages

Orange Techno mind Working with R Programming

  • Data Types and Syntax
  • Processing on Variables
  • Data Items on Structure
  • Classes and Manipulate Objects
  • Control statements IF, ELSE, SWITCH
  • Loop statements FOR, WHILE, REPEAT
  • Working with String and Date
  • Understanding on Vector, List and Data Frames
  • Working with Arrays and Matrices
  • Explain String and Factors
  • Explain on Input and Output
  • Read and Write data from CSV, Tabular Data and Database

Orange Techno mind Working with Statistics

  • Introduction to Descriptive Statistics
  • Box Plot
  • Probability and Sampling
  • Inferential statistics

Orange Techno mind Working with Hypothesis

  • Overview of Hypothesis
  • U-Test
  • Correlation and Covariance
  • Chi Square Distributions
  • F-distribution and F-ratio

Orange Techno mind Introduction to Predictive Models and Machine Learning

  • What is Model
  • Introduction to statistics
  • Explain on statistical Modelling
  • Probability Distributions
  • Understanding on Machine Learning
  • Explain on Single Variable and Many Variable Models
  • Explorer on Machine Learning Algorithms
  • Mahalanobis distance
  • Pearson's correlation coefficient

Orange Techno mind Working with Regression Analysis

  • Introduction to Regression
  • Explain on Different type of Regression
  • Linear Regression Models
  • Fitting the Model
  • Understanding on K-Nearest Neighbours (k-NN)
  • Distance Metrics
  • K-means
  • Non-Linear Regression Models
  • Understanding on Logical Regression

Orange Techno mind Working with Spam Filters and Naïve Bayes

  • Explain limitation on linear Regression
  • Introduction to Spam Filter
  • Understanding on Naïve Bayes
  • In-depth Bayes Law
  • Spam Filter using Bayes
  • Naïve Bayes vs K-NNM

Orange Techno mind Working with Clustering

  • Introduction to Clustering
  • Packages
  • K-means Clustering
  • Hierarchical Clustering
  • Medoids Clustering
  • DBSCAN Clustering

Orange Techno mind Working with Decision Tree

  • Overview of Decision Tree
  • Explain Decision Tree Algorithm
  • Continuous Variables on Decision Tree
  • Explain on Classification
  • Random Forest Classifier

Orange Techno mind Working with Data Visualization

  • Overview of Data Visualization
  • Data visualization in R
  • Packages
  • Interactive Graphics
  • Plotting
  • Scatterplot
  • Bar plot
  • Pie chart
  • Histogram and Box plot
  • Heat Maps
  • XKD-Style Plots

Orange Techno mind Best Practices on Data Science using R and Interview Tips

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