**R Programming: **Introduction & Installation of R, R Basics, Finding Help, Code Editors for R, Command Packages, Manipulating and Processing Data in R, Reading and Getting Data into R, Exporting Data from R, Data Objects, Data Types &
Data Structure. Viewing Named Objects, Structure of Data Items, Manipulating and Processing Data in R (Creating, Accessing , Sorting
data frames, Extracting, Combining, Merging, reshaping data frames), Control Structures, Functions in R (numeric,
character, statistical), working with
objects, Viewing Objects
within Objects, Constructing Data Objects, Building R Packages,
Running and Manipulating Packages, Non parametric Tests- ANOVA, chi-Square, t-Test, U-Test,
Introduction to Graphical Analysis, Using Plots(Box Plots, Scatter plot, Pie Charts, Bar charts, Line Chart),
Plotting variables, Designing Special Plots, Simple Liner Regression, Multiple Regression,
Interactive reporting with R
markdown.

**Python**** Programming:**

Introduction to Python, Basic Syntax, Data Types, Variables, Operators, Input/output, Flow of Control
(Modules, Branching), If, If- else, Nested if-else, Looping, For, While, Nested loops, Control Structure, Break, Continue, Pass, Strings and Tuples, Accessing Strings, Basic Operations,
String slices, Working with Lists, Introduction, Accessing list,
Operations, Function and Methods, Files, Modules, Dictionaries, Functions and Functional Programming, Declare, assign
and retrieve
values from Lists, Introducing Tuples,
Accessing tuples, matplotlib, seaborn, Advanced
Python: Object Oriented, OOPs concept, Class and object,
Attributes, Inheritance, Overloading, Overriding, Data hiding, Operations Exception, Exception Handling, Python Libraries, Data migration and visualization: Pandas and Matplotlib, Database Interaction in Python

** Case Studies: **

Mathematical computing with Python, Data migration and visualization: Pandas and Matplotlib,
Pycharm, Anaconda, Data manipulation with Pandas