PG Level Advanced Certification Course in Computational Data Science
Course Features
Duration
12 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Instructor Paced
Course Description
Highlights
Hands on training
Top 20 Percentile
Pedagogy
Top 10 Percentile
Course Credibility
Top 20 Percentile
Parameters
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.
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Course Overview
Live Class
Alumni Network
Human Interaction
Personlized Teaching
Case Based Learning
Post Course Interactions
Case Studies,Hands-On Training,Industry Exposure,Instructor-Moderated Discussions
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.
Prof. Deepak Subramani
Ph.D., Massachusetts Institute of Technology (MIT), USA B.Tech and M.Tech, IIT Madras, Programme Co-Coordinator
Prof. Yogesh Simmhan
Ph.D. Computer Science, Indiana University, USA
Prof. Sundeep Prabhakar Chepuri
Ph.D. TU Delft, Netherlands