Its a Graduate level course gives an Introduction to R and Python.
The course provides foundations in two of the most popular programming languages used for data analytics – viz. R and Python. After having completed the course, the students should be knowledgeable in the principles of programming in R for the purpose of data management, visualisation of data and basic statistical calculations. Augmented to this, the course enables the student to acquire skills in Python programming for processing text based data and managing the results.
Modules 1 and 2 give a general introduction to Python programming, and students will learn and practice to write small Python programs to tackle problems in data analytics.
In the last 3 modules, students learn and practice R programming needed for data analysis, in particular for large dataset. The student will learn how to take a large dataset, break it up into manageable pieces and use a range of qualitative and quantitative methods to bring out the insight embedded into the data. They also learn tools that help to communicate the findings using R visualization packages.
Applications of the Analytics are span across various fields, some of them are listed below
- Marketing
- Retail
- Finance
- Sales
- Operations
- Manufacturing
- Consumer Goods
- Crime Analysis
- Travel and Hospitality
- Education
- Healthcare
- Telecom
- Agriculture
- HR
- Energy ......................
- Teacher: Dr. Jino P J