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Data Science With R Programming SYLLABUS
Introduction
What are Data Analysis, Data Analytics and Data Science?
Business Decisions
Case study of Walmart
Various Analytics Tools
Descriptive
Predictive
Web Analytics
Google Analytics
Fundamentals Of R
R and features
Evolution of R?
Bigdata Hadoop and R
Working With R & RStudio
R & RStudio Installation
Data Types
Scalar
Vectors
Matrix
List
Data frames
Factors
Handling date in R
Conversion of data types
Operators in R
Importing Data
JSON files
CSV files
Database data (Oracle 11g)
XML files
Reading & Writing PDF files
Reading & Writing JPEG files
Saving Data in R
Manipulating Data
Sorting
Cbind, Rbind
Aggregating
Dplyr
Conditional Statements
For loop
If …else
While loop
Repeat loop
Functions
tApply ()
Apply ()
sApply ()
rApply ()
Statistical Concepts
Descriptive Statistics
Inferential Statistics
Central Tendency (Mean,Mode,Median)
Hypothesis Testing
Probability
tTest
zTest
Chi Square test
tTest
Correlation
Covariance
Anova
Predictive Modelling
Linear Regression
Normal Distribution
Density
Data Visualization In R Using GGPlot
Box Plot
Histograms
Scatter Plotter
Line chart
Bar Chart
Heat maps
Data Visualization Using Plotly
3D-view
Geo Maps
Misc. Functions
Null Handling
Merge
Grep
Scan
Advance Topics In R
Text Mining
Exploratory Data Analysis
Machine Learning with R (concept)
Data Science With R
Algorithms
Classifications
Clustering
Supervised learning
Unsupervised learning
Bayesian
Boosting
K-means
Nearest Neighbours (KNN)
Page Rank
Support Vector Machines
Random forest