Data Science With R Training in Chennai
Learn how to use DataScience with R from beginner level to advanced techniques which is taught by experienced working professionals. With our DataScience with R Training in Chennai you’ll learn concepts in expert level with practical manner.
Batch Schedule for Data Science With R Training in Chennai
Besant Technologies provides flexible timings to all our students. Here are the Data Science With R Training in Chennai Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.
Click Here to Know about → Comparisons of Python, R and SAS
Data Science with R Syllabus
Module 1: Introduction to Data Science (Duration-1hr)
- What is Data Science?
- What is Machine Learning?
- What is Deep Learning?
- What is AI?
- Data Analytics & it’s types
Module 2: Introduction to R (Duration-1hr)
- What is R?
- Why R?
- Installing R
- R environment
- How to get help in R
- R Studio Overview
Module 3: R Basics (Duration-5hrs)
- Environment setup
- Data Types
- Variables Vectors
- Lists
- Matrix
- Array
- Factors
- Data Frames
- Loops
- Packages
- Functions
- In-Built Data sets
Module 4: R Packages (Duration-2hrs)
- DMwR
- Dplyr/plyr
- Caret
- Lubridate
- E1071
- Cluster/fpc
- Data.table
- Stats/utils
- Ggplot/ggplot2
- Glmnet
Module 5: Importing Data (Duration-1hr)
- Reading CSV files
- Saving in Python data
- Loading Python data objects
- Writing data to csv file
Module 6: Manipulating Data (Duration-1hr)
- Selecting rows/observations
- Rounding Number
- Selecting columns/fields
- Merging data
- Data aggregation
- Data munging techniques
Module 7: Statistics Basics (Duration-11hrs)
- Central Tendency
- Mean
- Median
- Mode
- Skewness
- Normal Distribution
- Probability Basics
- What does mean by probability?
- Types of Probability
- ODDS Ratio?
- Standard Deviation
- Data deviation & distribution
- Variance
- Bias variance Trade off
- Underfitting
- Overfitting
- Distance metrics
- Euclidean Distance
- Manhattan Distance
- Outlier analysis
- What is an Outlier?
- Inter Quartile Range
- Box & whisker plot
- Upper Whisker
- Lower Whisker
- Scatter plot
- Cook’s Distance
- Missing Value treatments
- What is a NA?
- Central Imputation
- KNN imputation
- Dummification
- Correlation
- Pearson correlation
- Positive & Negative correlation
Module 8: Error Metrics (Duration-3hrs)
- Classification
- Confusion Matrix
- Precision
- Recall
- Specificity
- F1 Score
- Regression
- MSE
- RMSE
- MAPE
Module 9: Machine Learning
Module 10: Supervised Learning (Duration-6hrs)
- Linear Regression
- Linear Equation
- Slope
- Intercept
- R square value
- Logistic regression
- ODDS ratio
- Probability of success
- Probability of failure
- ROC curve
- Bias Variance Tradeoff
Module 11: Unsupervised Learning (Duration-4hrs)
- K-Means
- K-Means ++
- Hierarchical Clustering
Module 12: Machine Learning using R (Duration-10hrs)
- Linear Regression
- Logistic Regression
- K-Means
- K-Means++
- Hierarchical Clustering – Agglomerative
- CART
- 5.0
- Random forest
- Naïve Bayes
Click Here to Check Latest Updated – Data Science with R Interview Questions and Answers
Data Science with R Training Reviews
Besant Technologies Reviews given by our students already completed the training with us. Please give your feedback as well if you are a student.
