The Diploma in Data Science and Machine Learning program offers a comprehensive curriculum designed by leading academicians and industry experts. Through this one-year program, students gain practical experience in Python programming, exploratory data analysis, data visualization, machine learning, and natural language processing. The program includes extensive hands-on training and projects to ensure real-world application skills.
English

Course Start Date:
Rolling admissions
Duration:
1-2 Years
₹ 36,000
Overview
The Diploma in Data Science and Machine Learning program at SRM Institute of Science and Technology offers a comprehensive curriculum designed by leading academicians and industry experts. Students gain hands-on experience in core areas including Python programming, data analysis, visualization, and machine learning.
Why Technology & Analytics?
SRM's Diploma in Data Science and Machine Learning program stands out for its industry-aligned curriculum, practical approach, and strong academic foundation delivered through a flexible online learning format.
What does this course have to offer?
Key Highlights
Curriculum designed by leading academicians and industry experts
Live online learning designed for working professionals
AI-based student support with 24*5 chat assistance
Hands-on practical training and projects
Industry-standard tools and techniques
Who is this programme for?
Working professionals seeking to transition into data science
Fresh graduates interested in building a career in analytics
Professionals looking to upgrade their technical skills
Anyone interested in learning data science fundamentals
Minimum Eligibility
10+2 years (Any group) from any recognized board including NIOS with 50% marks OR 10+3/10+2+3/10+3+3 pattern with 50% OR Any Degree with 50%

Course Start Date:
Rolling admissions
Duration:
1-2 Years
₹ 36,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.