Course Review - Advanced Programme in Computational Data Science by IISc Bangalore via TalentSprint

The programme is designed for experienced professionals in the field of mathematics and statistics. The curriculum is constructed by IISc’s Computational and Data Sciences faculty and is aimed to be industry relevant along with practical hands-on case studies and examples. The programme offers a strong platform for live interaction with experienced faculty members who are experts in Data Science. They also enable a steep learning curve for the students by sharing their knowledge and creating situations that help in solving problems.

Highlights

Differentiated Value

The Advance Programme in Computational Data Science programme offers deep insights into the domain of computational Data science. The carefully curated course offers comprehensive course coverage and practical overview of problem-solving. The programme helps to resolve complex real-world challenges and make data-driven judgments. It is delivered by the faculty at the vanguard of research and industry practitioners in Data Science and Machine Learning. It comprises a unique five-step learning process of LIVE online faculty-led collaborative sessions, capstone projects, and mentorship, case studies and data stories.

Content coverage: The programme takes a practical approach with comprehensive course coverage in the domain of data science and statistics. Applicants get access to 25+ tools as a part of their learning process like NumPy, Pandas, Keras, TensorFlow. The programme consists of capstone case studies to solve real-world data problems. Some of the case studies include.

• Using machine learning clustering techniques and customer segmentation for direct retail marketing efforts

• Use of Predictive Data Analytics that help in determining the key factors driving literacy rates in Indian demography

• Breast Cancer classification from digitized FNA image feature measurements.

• Spotting of Quora question pairs with the same objectives

• Using Generative Adversarial Network to attain image super-resolution

• Use of IPL (Indian Premier League) dataset for Exploratory and Predictive Data Analytics

• Achieving image super-resolution using a Generative Adversarial Network.

• Exploratory and Predictive Data Analytics using Indian Premier League (IPL) dataset.

Mode of Learning: The programme is completely online which includes 400+ hours of live classes, with a batch size of 100.

Target Audience: The difficulty level of the certification is Intermediate to Expert. The programme is intended for experienced professionals who are from tech backgrounds and who have a basic understanding of statistics and mathematics.

Learning support: The learning programme includes a unique five-step learning process of LIVE online faculty-led interactive sessions, capstone projects, and mentorship, case studies and data stories. Members get access to TalentSprint’s career accelerator programme where they get the option to contribute to various discussions.

Price Aid: The programme offers scholarships and zero EMI payment options for eligible applicants.

College pedigree: The course is backed by a strong college pedigree. IISc Bangalore is ranked the #1 university by NIRF (2023).

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Major Differentiator from Peers

The curriculum provides comprehensive course coverage along with industry-relevant use case solving. The programme is backed by a strong college pedigree which adds great value to one's resume. The learning platform provides 1:1 Mentoring by Industry and Academic Experts. 400+ hours of live sessions add to the pros of the carefully designed program and the sessions include a unique five-step learning process of LIVE online faculty-led interactive sessions, capstone projects, and mentorship, case studies, and data stories.

Course Offering

The following points cover the major offerings by the certification.

• Placement support with 1:1 mentoring sessions. The course also offers good interaction avenues with industry experts who deal with practical use cases.
• Upon successful completion, the members get access to TalentSprint’s career accelerator program, where they get the opportunity to participate in various discussions.
• Weekend-based interactive classes, with live doubt-solving sessions and deep dives on focused topics.
• 400+ hours of learning content with a focused approach toward Data Science.

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What Stood Out

Positives: 400+ hours of live learning, Scholarship offerings, focused learning approach, 1:1 career coaching, unique five-step learning approach, Industry oriented case studies, Access to Talentsprint’s accelerator programme.

Scope for improvisation: Lack of discussion boards and peer learning avenues. No alumni status is offered by IISc. However, one must keep in mind that this is just a 12-month course and most short courses do not offer an alumni status.

Career Options

Business Analyst: As a business analyst one is expected to understand current and future market trends and environment in order to suggest and implement business strategies. A business analyst also helps to implement new processes or improve existing ones that might help in improving the company’s performance.

Data Analyst: A person who is a data analyst is required to examine large volumes of data and come up with solutions that help the management to make intelligent business decisions or establish processes that lead towards quick and efficient decision-making.

Data Scientist: A data scientist is required to go through volumes of data and use his or her expertise to provide various solutions across various vertices of a company, which in turn help in improving business performance.

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