Course Review - IIT-R PG Certificate Program in Data Science & Machine Learning
The programme is focused to provide hands-on learning in the realms of Data Science and Machine Learning. 10+ high impact industry relevant assignments sets the bar high in terms of applied learning when we compare it to other certifications in its category. The strong sensible approach proves a candidate's actual hands-on learning to anticipate and analyze the actual problem they might face while using this knowledge at their workplace. The modules are carefully designed to support beginners as well as mid-level professionals who are already in the domain and also those who would like to make a career transition towards Data Science. The learning provided during the entire tenure is comprehensive and interactive. The 40 hours of face-to-face teaching provides students with a strong learning base, a doubt solving platform and a good peer learning avenue. This approach helps a student to learn and apply at the same time as they build projects and compare their outcomes.
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URL | https://timestsw.com/technology/courses/iit-roorkee-post-graduate-certificate-program-data-science-machine-learning/ |
Mode of Learning | Online |
Duration | 11 Months |
Fee | Rs. 3,54,000/- incl. of taxes |
Key Features
The Post Graduate Certificate Program in Data Science and Machine Learning curriculum promises 136+ hours of learning in the form of online learning content and 40+ hours of face-to-face learning by the expert faculty of IIT-R. Along with basic learning, the course also provides complimentary career support such as resume building, specialization in a particular Machine Learning stream and mentoring sessions. Since the programme is designed for working professionals the course guarantees applied learning through case studies and a comprehensive capstone project.
Content coverage: The programme is totally online with 136+hours of learning in the form of webinars and 40+ hours of face-to-face learning. The programme covers a vast syllabus that brightens one’s skills in understanding data analysis, data visualization, machine learning, python, and data science.
Mode of Learning: The programme is taught online with live learning sessions and applied industry projects. The platform also provides query resolution sessions during face-to-face webinars.
Target Audience: The programme is built for beginners and mid-level professionals who are looking to learn or reinforce their fundamentals in the concepts of Data Science and ML.
Learning support: The programme offers Q/A sessions and feedback from the faculty of IIT Roorkee at any time of the candidate’s comfort.
Price Aid: The programme offers flexible payment options through EMIs.
College pedigree: IIT-R holds a strong college pedigree and alumni network. It was ranked 7 by NIRF in 2021 in terms of the best engineering college overall. The Indian Institute of Technology Roorkee is known for its pragmatic learning approach and expert faculty, with a curriculum based on making candidates industry ready.
What makes the course unique
The course offers 10+ hands-on case studies and a comprehensive capstone project which stands out from its peers. The candidates also get a chance to pick any one of the specialization from Image analytics, Data engineering and Speech recognition. The assignments and projects comprise the 60% marks that one must secure in order to be evaluated successfully. This emphasis on applied learning offers a pragmatic approach to problem solving.
Also read:
- Free Data Science And Machine Learning Courses
- Data Science And Machine Learning Certification Courses
Course Offering
The following points cover the major offerings by the certification.
Practical learning with 5-day immersion at IIT-Roorkee campus.
Technical know-how associated with probability theory and math based statistical analysis .
Code analysis and development using Python and usage of key Python packages.
Designed for working professionals to support them with any form of career transitioning or growth. The programme offers ample growth opportunities in terms of resume building, mentoring sessions and expert evaluation to identify growth areas.
Key discussion points
Value Addition: 10+ hands on case studies, certificate backed by a strong college pedigree, choice of specialization and a detailed well designed syllabus.
Points to debate: The program does not provide any alumni status and opportunities for fully funded scholarships. However, it does lay out a variety of workable payment options and one must keep in mind that this program is just an 11 month course.
Career Options
Data Analyst: As the data touch points increase, the demand for a person handling this data rises as well. A Data analyst sits right at the fulcrum of this demand. He/She is accountable for managing end-to-end data pipelines, running suitable algorithms, building solutions, and assisting companies in data-driven decision making.
Data Scientist: A Data Scientist is responsible for managing multiple use cases and product offerings at an organization which depends on data driven decision making. They must be aware of various data types and the type of algorithm that would best fit the use case. There are a host of responsibilities that an organization depends on the data scientist for, including data management, choice of algorithms, Dashboarding, continuous learning and use case discovery.
Data administrator: A Data administrator must monitor, maintain and support in all forms of Data storage and management activities. Essential features such as security , managing downtime, data quality, storage are all a part of the data administrator’s day to day schedule. They must hold a variety of skill sets which make them an essential part of the data management ecosystem.
Data Consultant: A data consultant is required to lead an organization to set up the entire data strategy. Fundamental questions such as storing data, data security, management, storage, and use of data all are a part of the responsibilities of a data consultant. The pipeline should be scalable and flexible enough to be ready for assimilation for multiple resources for problem-solving.
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