Courses
R Programming language
R Language is programmer for statistical analysis. Statistical Analysis plays major role in the Data Analysis. R is support to research and analysis purpose. It is free source software using this we can do machine learning concepts, statistical analysis and deployment to the researcher.
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S.No |
Topic |
Detailed Syllabus |
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1 |
Introduction to R |
About R, working with tool and explanation |
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2 |
Basic Data Types |
Data types in R(Numeric , Integer, Complex, Logical, Character) and how to use this Data types in R |
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3 |
Objects |
Creating Objects(Vectors, Matrices, Factors, Arrays, Data frames),uses and creating objects |
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4 |
Functions and Loops Etc., |
Creating, accessing function in R |
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5 |
Data Preparation |
Data Coding, Data Cleaning, Identification Outlier, Handling Missing Values |
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6 |
Statistics |
Basics concepts in statistics |
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7 |
Regression & Types of Regression |
Linear Regression, Multiple Regression , Logistic Regression |
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8 |
Classification Methods |
Discriminant Analysis – Basics, Rotation Methods involved in DA. |
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9 |
Cluster Analysis |
Cluster Analysis Basics and real life Examples |
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10 |
Analysis of Variance |
Anova , Manova |
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11 |
Survival Analysis |
Types of Non parametric test in Survival and Cox proportional Hazard Rate Model |
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12 |
Time series |
Forecasting |
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13 |
Machine Learning |
Algorithms and Coding for Concepts in ML |
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14 |
Backup Classes |
Doubts clarification for all Session |