International Institute of Information Technology Bangalore
- University
- Co - Education
- ESTD 1999
- Engineering
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PG Certificate Data Science
Course
Data Science is an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms. This course equips learner with all the conceptual and technical skills required for the ultimate position in the analytics industry. The course introduces the learner to business analytics using the most in-demand analytics technologies like R and Python and teaches implementation of various data science concepts such as data exploration, visualisation, and hypothesis testing. Special focus has been placed on Machine Learning techniques used for regression, classification and clustering.
PG Diploma in Data Science and Statistics is designed for the people who wish to expand their proficiency in Data Science.
Data Science
Accelerate your career with cutting edge curriculum built in collaboration with industry experts and IIIT-Bangalore faculty. Master in-demand Data Analytics skills with hands-on projects, 1-1 mentorship. Upon successful completion of the program, you will receive a certificate from IIIT-Bangalore and also gain alumni status.
6 months | 200+ hours of learning | 5+ case studies | 0% EMI
Who is this program for?
This program is suitable for Engineers, Software and IT Professionals, Marketing and Sales Professionals, Managers who are either looking to gain skills in the field of Data Science or strengthen their profile to make a career transition. Graduates with a minimum of 50% marks can take up this program
Eligibility
- Bachelor’s Degree holder / Graduate in any discipline from a recognised University with Maths as compulsory subject in XII std.
- International / SAARC Graduates from a recognised / accredited University / Institution.
- Students appearing for their final graduation exam may also apply, subject to completion of graduation within the time period specified by SCDL.
Career Oppportunities
- Data Scientist
- Statistics Consultants
- Business Analyst
- Data Analyst,
- Product Analyst
- Machine Learning Engineer