Description

Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn’t specialized for any specific problems. R is an open-source statistical programming language and framework that’s used for a wide range of scientific applications, including machine learning. R is a popular skill requirement for job openings in artificial intelligence and data science.In the real world of data science, Python and R users intersect a lot. So which ever industry or discipline you are interested in you are likely to run into projects done in both languages. To appreciate it all you need to have at least a basic understanding of both R and Python.

1. Introduction to Python

a). Installation

b). Packages and Installing Packages,

2. Basic Operations

a). Programming Language Basics

b). Numbers, Strings Lists, Dictionaries, Tuples Files

c). Exercise/Case Study

3. Data Manipulation to python

a). Conditional Processing

b). Loops, Iterations, and other iterative processing

c). Exercise/Case Study

4. Data manipulation

a). Functions, arguments, and modules

b). Transforming Variables, Exercise/Case Study

5. Overview of Packages/Libraries

a). Popular Packages/Libraries

b). Overview of Python application in analytics industry

1. Introduction to R

a). Installation of R-Studio

b). Packages in R, Installing Packages

c). Setting Directories

2. Basic Operations 

a). Programming Language Basics

b). Scalars, Vectors, Simple Calculations Data Structure

c). Data Frames, Exercise/Case Study

3. Data Manipulation in R

a). Data Acquisition (Import & Export)

b). Sub-setting observations, Subsetting variables

c). Transforming Variables, Renaming and Recoding Variables, Exercise/Case Study

4. Data Manipulation

a). Conditional Processing

b). Missing Values, Merging and Concatenating Datasets

c). Exercise/Case Study

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Locus Academy has more than a decade experience in delivering the training/staffing on Basic Programming in R Python for corporates across the globe. The participants for the training/staffing on Basic Programming in R Python are extremely satisfied and are able to implement the learnings in their on going projects.