PG Level Advanced Certification Course in Computational Data Science

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Course Features

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Duration

12 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Instructor Paced

Course Description

The PG Level Advanced Certification in Computational Data Science enables working professionals to gain practical hands-on experience in solving real-life challenges. The programme will teach participants how to build powerful models to generate actionable insights, necessary for making data-driven decisions.

The 12-month programme will be taught by world class faculty from a global institution and supplemented with industry learnings. It offers a unique 5-step learning process of LIVE online faculty-led interactive sessions, capstone projects, mentorship, case studies and data stories to ensure fast-track learning.

Indian Institute of Science (IISc), with its expertise in multi-disciplinary science, is best positioned to offer the programme on Computational Data Science. Delivered in association with TalentSprint, this executive friendly programme is best suited for professionals who are willing to gain an in-depth understanding of the mechanics of working with data and identifying insights.

So far, the programme has witnessed an overwhelming response for its last 5 cohorts, enabling 620+ professionals to build Data Science expertise. The programme is now accepting enrollments for Cohort 6.

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Highlights

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Hands on training

Top 20 Percentile

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Pedagogy

Top 10 Percentile

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Course Credibility

Top 20 Percentile

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Parameters

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Course Credibility

Delivered through TalentSprint a renowned institution in the field, this course offers a comprehensive learning experience.

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Pedagogy

Designed for newcomers to Applied Data Science, this course provides a tailored and comprehensive overview, facilitating effective learning and understanding of the subject. It caters to beginners' needs, ensuring a smooth and engaging introduction to the Applied Data Science field.

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Hands on training

This course stands out as one of the top 20 percentile options in Applied Data Science, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training and Capstone Projects / Industry-Simulation as well as essential Case Based Learning, this course is tailored to meet diverse educational needs.

Course Overview

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Live Class

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Alumni Network

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Human Interaction

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Personlized Teaching

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Industry Exposure,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Pandas

Tensorflow

Keras

MongoDB

Target Students

Tech professionals keen to build world class capabilities in data science.

Data scientists, data architects looking for career enhancements and transformations.

Programmers aspiring to take up roles of data scientists, data architects.

Leaders seeking to build data driven organizations.

Course Instructors

Prof. Sashikumaar Ganesan

Co-Founder, Zenteiq Edtech Private Limited.

He joined the Department of SERC/CDS as an Assistant Professor in 2011. Before joining the Department, he was a Research Associate at Imperial College London and an Alexander-von-Humboldt fellow at W...

Prof. Deepak Subramani

Ph.D., Massachusetts Institute of Technology (MIT), USA B.Tech and M.Tech, IIT Madras, Programme Co-Coordinator

Assistant Professor in the Dept. of Computational and Data Sciences, IISc. His research focuses on ML/AI for Environmental Forecasting, Data-Driven Routing of Autonomous Vehicles, Bayesian Learning a...

Prof. Yogesh Simmhan

Ph.D. Computer Science, Indiana University, USA

Associate Professor in the Department of Computational and Data Sciences, IISc, and previously a Research Faculty at the University of Southern California (USC), Los Angeles, and a Postdoc at Microso...

Prof. Sundeep Prabhakar Chepuri

Ph.D. TU Delft, Netherlands

Assistant Professor at the Department of Electrical Communication Engineering, IISc. His research areas include ML, AI, and statistical inference for Data and Network Sciences.
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