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Fundamentals of Data Science
Free Data Science Introduction Courses
BASICS
India
“Comprehensive and Engaging Data Science Learning Experience!”
Great Learning's Data Science course exceeded my expectations! The curriculum was well-structured, with insightful lectures, hands-on projects, and real-world applications. The instructors explained complex concepts in an easy-to-understand manner, making learning engaging and effective. I highly recommend this course to anyone looking to build a strong foundation in Data Science!
LinkedIn Profile
“Completed Intro to Data Science: Skills and Analysis!”
I enjoyed the Introduction to Data Science course for its hands-on approach and practical applications. The course covered essential topics like data cleaning, visualization techniques using Python libraries such as Matplotlib and Seaborn, and statistical analysis.
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Philippines
“Perfect Course for Data Science Novices!”
This course provides a fantastic introduction to data science. It covers key concepts, tools, and methodologies, making it ideal for beginners eager to dive into the data-driven world.
LinkedIn Profile
“Data Science Beginner Course Introduction”
I really enjoyed my data science course! The blend of statistics, programming, and analytical thinking was fascinating. I loved learning how to extract insights from data and apply various machine learning techniques. The hands-on projects allowed me to work with real datasets, which made the concepts come alive. I also appreciated the collaborative environment, where sharing ideas with classmates enhanced my understanding. Overall, the course sparked my passion for data science and motivated me to explore it further.
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United States
“A Great Introduction to Data Science”
This was very easy to enroll in and watch. The course covered many topics about data science and the different fields that come together. For someone who is not sure about this career, I highly recommend this course. I felt like I was in a University lecture hall and I learned a great deal of information. I'm ready to continue!
LinkedIn Profile
“Introduction to Data Science is an Engaging Course that Explores Key Concepts like Data Analysis, Visualization, and Predictive Modeling.”
I enjoyed the clarity of concepts and the practical examples that made understanding easier. The step-by-step approach to data analysis and the integration of real-world applications were particularly engaging.
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India
“The Curriculum is Comprehensive and Covers Key Concepts Thoroughly.”
The Introduction to Data Science course by Great Learning provides an excellent foundation for beginners looking to explore the field of data science. The course content is well-structured, starting with an overview of data science concepts and their applications across industries. The emphasis on understanding the data lifecycle—data collection, cleaning, analysis, visualization, and interpretation—is particularly valuable for building a solid base.
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Morocco
“Exploring Data Science: Key Takeaways from My Learning Experience”
The course provided a comprehensive overview of key topics such as data analysis, statistical methods, and data visualization, helping me understand how data science can be applied to solve real-world problems. I particularly appreciated how the course emphasized the importance of data-driven decision-making and the various tools available for analyzing and interpreting data. The real-world examples and case studies gave me practical insights into how data science is used across different industries.
LinkedIn Profile
“Course: Introduction to Data Science”
The easiest to follow course, attractive and well-organized.
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Nigeria
“It Was Straight to the Point and Easily Understood”
Keep up the good work. I loved everything about the course and I learned so much.
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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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