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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Business analytics skills help us gain insight into a company’s past performance to drive the business in the future. Data science is a powerful tool used for business analytics and decision-making. The Part-Time PG Program in Business Analytics and Data Science certification course by Sri Sivasubramaniya Nadar College of Engineering has been designed to help working professionals upskill themselves in the field.

The SSN Sace Business Analytics and Data Science online course take a practical approach to provide candidates with hands-on experience through a blended learning method. The course is tailored to the needs of corporate professionals who wish to learn business analytics while working their full-time jobs.

Furthermore, the Part-Time PG Program in Business Analytics and Data Science training will provide you with e-learning material and includes two days of classroom learning sessions every month. You will also be required to do specific projects at the end of modules and submit assignments for better comprehension.

The Highlights

Flexible learning system
Professional skills
Continuous faculty-support
Modularised program
Increase hiring prospects
Rich application-oriented curriculum
Additional classroom experience
Active learning projects
E-learning material
Updated and high-quality content

Programme Offerings

Lectures with experienced academicians
Interaction with industry professionals
hands-on training
Flexible learning system
Rich application-based curriculum
practical approach
Professional course
Active learning project
assignments

Courses and Certificate Fees

Certificate Availability
no

The Part-Time PG Program in Business Analytics and Data Science certification fee includes the tuition fee and GST.

Part-Time PG Program in Business Analytics and Data Science course fee structure

Course	Total Fee
Part-Time PG Program in Business Analytics and Data Science course	Rs 2,54,000 (exclusive of GST)

Eligibility Criteria

To enrol in the programme, you must have a Bachelor’s or a Master’s degree in any of these fields- Engineering, Management, Computer Applications, Mathematics, or Statistics.

What you will learn

Machine learningData science knowledgeBusiness analytics knowledgeKnowledge of Big DataKnowledge of Artificial Intelligence

Upon completion of the Part-Time PG Program in Business Analytics and Data Science certification syllabus, you will have learnt the following topics:

Fundamental skills of data science and its various elements
Understanding of business analytics and implementing it to make future decisions
Learning data visualization and optimisation techniques
Introduction to artificial intelligence (AI)

Who it is for

Business AnalystBusiness ManagerBusiness Development ManagerBusiness Strategist

The Part-Time PG Program in Business Analytics and Data Science training is suitable for the following working professionals:

Freshers
Information technology professionals
Mid-career professionals

Admission Details

To be a part of the Part-Time PG Program in Business Analytics and Data Science classes, candidates must follow the steps mentioned ahead:

Step 1: Visit the official SSN Sace website using this link: https://www.sace.ssn.edu.in/

Step 2: Locate and click on the option ‘Part-time Program’.

Step 3: Go to the top right side of the web page and click on ‘Apply Now’.

Step 4: Fill in the necessary details in the application form and submit.

Step 5: Pay the course fee to join the course.

Application Details

To apply to the Part-Time PG Program in Business Analytics and Data Science certification by SSN Sace, you must fill out an application form. Enter your name, email ID, mobile number, city, gender, educational qualification, work status, work experience, programming experience, the program of interest, and how you got to know about the course. Later, the application will be reviewed, and the selected candidates will have an online interview before getting selected.