|Introduction R/R-Studio - GUI|
|Concept of Packages - Useful Packages (Base & other packages) in R|
|Data Structure & Data Types (Vectors, Matrices, factors, Data frames, and Lists)|
|Importing Data from various sources|
|Database Input (Connecting to database)|
|Exporting Data to various formats)|
|Viewing Data (Viewing partial data and full data)|
|Variable & Value Labels – Date Values|
|Data Manipulation steps(Sorting, filtering, duplicates, merging, appending, subsetting, derived variables, sampling, Data type converstions, renaming, formating etc)|
|Data manipulation tools(Operators, Functions, Packages, control structures, Loops, arrays etc)|
|R Built-in Functions (Text, numeric, date, utility functions)|
|R User Defined Functions|
|R Packages for data manipulation(base, dplyr, plyr, reshape,car, sqldf etc)|
|Introduction exploratory data analysis|
|Descriptive statistics, Frequency Tables and summarization|
|Univariate Analysis (Distribution of data & Graphical Analysis)|
|Bivariate Analysis(Cross Tabs, Distributions & Relationships, Graphical Analysis)|
|Creating Graphs- Bar/pie/line chart/histogram/boxplot/scatter/density etc)|
|R Packages for Exploratory Data Analysis(dplyr, plyr, gmodes, car, vcd, Hmisc, psych, doby etc)|
|R Packages for Graphical Analysis (base, ggplot, lattice etc)|
Learn from our comprehensive collection of project case-studies, hand-picked by industry experts, to give you an in-depth understanding of how data science moves industries like telecom, transportation, e-commerce & more.
|You will be having the opportunity of 10-15 Hrs e-learning exercises along with instructor-led-training which enable candidates to get the maximum out of the subjects and empowering them to build logics to hand any new requirement.|
This program has been designed in collaboration with some of the most influential analytics leader and top academician in data science.
Thanks to the digital revolution that is sweeping the world and India in particular, data scientists are now the most sought-after professionals by big corporations as well as startups. And companies across industries are rewarding good data analysts and scientists with desirable career growth and salaries.