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Fundamentals of Data Science
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“Excellent Introductory Course for Data Science Enthusiasts”
I enjoyed the course structure and the way complex concepts were broken down into simpler, digestible parts. The practical examples and hands-on projects helped me apply what I learned effectively. It was a great introduction to the world of data science, and I feel much more confident now.
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“Great Platform for Career Preparation”
I came here to learn more about data science. With a background in mathematics, I knew enough about statistical analysis but lacked an understanding of the proper workings and ideas of what data science is all about. This course really helped me.
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“It Was a Nice Experience and I Got a Great Start to the Subject”
The course was well delivered, and I am so grateful to participate.
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“I Was Able to Get a Good Understanding of What Data Science Is All About”
I liked the course content structure and the language made it easy to understand. Topics were covered in a systematic manner, giving an overview and further insights that need to be taken into account.
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“A Wonderfully Practical Course - Both Personally and Professionally”
Thank you for a great course. Great presentation style with lots of opportunities to ask questions and talk about real-life examples, which all made for a really enjoyable and informative course. This has more than met my expectations.
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“It Was a Very Quick and Engaging Course”
I loved the way the topics, which seemed to be of great depth, were explained effortlessly. As a result, the course was easy to follow and allowed me to retain whatever crucial knowledge was shared.
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“I Gained a Solid Foundation in Data Science Fundamentals”
This course has been instrumental in laying the groundwork for my data science journey, and I look forward to continuing my growth and development in this field.
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“Exemplary Curriculum That Is Easy to Follow and a Perfect Instructor”
The instructor was audible and clear with a good understanding of the topics. He explained the concepts and processes well enough to follow clearly. The course is also well structured.
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“First, I Gained an In-Depth Understanding of Introduction to Data Science”
I enjoyed the structured and comprehensive approach to learning, especially how the courses break down complex topics into digestible sections. The real-world case studies and interactive learning methods also kept me engaged, making the concepts easier to grasp.
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“The Course Was Informative and Engaging”
The course provided a solid introduction to data science concepts, covering essential topics such as statistics, data manipulation, machine learning, and data visualization. The materials were well-structured and easy to follow.
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Meet your faculty
Meet industry experts who will teach you relevant skills in artificial intelligence
Dr. Abhinanda Sarkar
Senior Faculty & Director Academics, Great Learning
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30+ years of experience in data science, ML, and analytics.
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Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.
Dr. Abhinanda Sarkar
Senior Faculty & Director Academics, Great Learning
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30+ years of experience in data science, ML, and analytics.
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Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.
Dr. Bappaditya Mukhopadyay
Professor, Analytics & Finance
With an MA in Economics from Delhi School of Economics and PHD from ISI, Dr. Mukhopadhyay is currently the professor and chairperson of the PGPBA program at Great Lakes Institute of Management. He is also the visiting professor of the University of Ulm, Germany, and distinguished Professorial Associate, Decision Sciences and Modelling Program, Victoria University, Australia. His areas of interest and expertise include applied economic theory, game theory, analytics, statistics, econometrics, derivatives and financial risk management, survey design, execution, and others.
Noteworthy achievements:
Ranked 4th Amongst the "20 Most Prominent Analytics & Data Science Academicians In India: 2018".
Prominent Credentials: He has various research papers published in national as well as international journals. He is currently working on a book titled Measuring and Managing Credit Risk. He has been the Managing Editor at Journal of Emerging Market Finance and Journal of Infrastructure and Development, member of Index Committee, member of Research Advisory Committee, Research Advisory Committee, NICR, Expert member in Faculty Selection committees at various Business schools, among others.
Research Interest: Information economics and contract theory, financial risk management, credit risk and agency theory, microfinance institutions, financial Inclusion, analytics in public policy.
Teaching Experience: He has more than 20 years of teaching experience in economics, finance.
Mr. Bharani Akella
Data Scientist
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.
Denver Dias
Senior Data Science Consultant
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Holds 8+ yrs exp. & delivered AI solutions for Fortune 500 firms
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Expert in A/B testing, ML models, and predictive analytics
Dr. P K Viswanathan
Professor, Analytics & Operations
Dr. P K Viswanathan, currently serves as a professor of analytics at Great Lakes Institute of Management. He teaches subjects such as business statistics, operations research, business analytics, predictive analytics, ML analytics, spreadsheet modeling and others. In the industrial tenure spanning over 15 years, he has held senior management positions in Ballarpur Industries (BILT) of the Thapar Group and the JK Industries of the JK Organisation. Apart from executing corporate consultancy assignments, Dr. PK Viswanathan has also designed and conducted training programs for many leading organizations in India. He has degrees in MSc (Madras), MBA (FMS, Delhi), MS (Manitoba, Canada), PHD (Madras).
Noteworthy achievements:
Ranked 12th in the "20 Most Prominent Analytics & Data Science Academicians In India: 2018".
Current Academic Position: Professor of Analytics, Great Lakes Institute of Management.
Prominent Credentials: He has authored a total of four books, three of which are on Business Statistics and one on Marketing Research published by the British Open University Business School, UK.
Research Interest: Analytics, ML, AI.
Patents: He has original research publications exclusively on analytics where he has developed modeling and demonstrated their decision support capabilities. These are: Modelling Credit Default in Microfinance — An Indian Case Study, PK Viswanathan, SK Shanthi, Modelling Asset Allocation and Liability Composition for Indian Banks.
Teaching Experience: He has been teaching analytics for more than two decades but has been into active and intense teaching since analytics started witnessing a meteoric growth with the advent of R and Python.
Ph.D. in the application of Operations Research from Madras University.
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