PG Certificate in Data Analytics (Weekend)

Teacher
Rathinam College
Category:
Data Science

Digitalization of business operations has brought about many changes in organizations across industry sectors. Today, huge volumes of data is generated across the world every second. The fact that the data can be aggregated, cleaned, analysed and managed in order to come up with valuable insights that help in building strategy has resulted in the birth of the domain data analytics. Organizations across industry sectors are recognizing the value data analytics can offer to their business. There is great demand for qualified talent in this field. Rathinam College of Arts & Science is offering the advanced PG Certificate in Data Analytics (Weekend) program to meet the talent requirements of the industry.

  • Curriculum designed as per current industry requirements
  • Program tailored to produce skilled and ready-to-deploy talent
  • Best-in-class faculty
  • Tech-enabled program delivery using tablets, PCs and learning management system
  • Emphasis on application-oriented learning
  • Reputed university with excellent campus and infrastructure
  • 100% placement support*

Program Details

The objectives of the program are to:

  • Impart sound theoretical knowledge of data analytics and its application in different industries
  • Enable students to learn and explore application of statistical techniques for data analytics
  • Provide a platform for students to understand data pre-processing, storing, descriptive and predictive analytics
  • Provide exposure on how visualization lets decision makers understand the business quickly and take informed decisions

Curriculum*

*Subject to change

Semester 1

  • Introduction to Data Science
  • Business Statistics and Probability
  • R Programming Language
  • Exploratory Data Analysis
  • Data Preparation and Management System
  • Exploratory Data Analysis Lab
  • Data Preparation and Management System Lab

Semester 2

    • Machine Learning
    • Big Data Analytics
    • Dimension Reduction and Model Validation Techniques
    • Visualization Techniques
    • Machine Learning Lab
    • Big Data Analytics Lab

 

  • *Subject to changes if any

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Enrolled: 1 student
Duration: 15 Months | Weekend Program