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Application of Machine Learning Methods as a Link Between Data Science and Business


This masterclass is available now on-demand for you to watch any time you like from wherever you like!

Per student fee includes 3 classes (120-minutes each), demonstrations, PDF slide deck, interactions with various content on the viewing platform, on-demand access for over a year.

Each attendee will also receive an ESOMAR attendance certificate after completing the training.


Be it research, engineering, manufacturing, consumer products, business, marketing & strategy or media & entertainment, they are all being proliferated with data, both, in volume and speed. The ability to harness the richness of this data and gather deep insights from them is allowing Data Science and Machine learning to transform the way we work in any of these fields. This one day program gives you the basic knowledge, the understanding & application of and the available tools to start using data science and machine learning for your / your company's / your clients benefit. The session is designed in a manner where you do not have to have any technical knowledge, know how to code or be a mathematician.

What are the objectives / What's in it for me?

After completing this masterclass you should be able to:

  • Have a good understanding of Machine learning & how it is applied.
  • Develop the right approach to build predictive or inferencing models for the specific tasks in your field.
  • Understand the importance of data quality and data relevance in building good models.
  • Translate your needs / requirements to a professional data scientist by speaking their language.
  • Do your own data analytics with powerful tools & some hands on learning.

Who should attend?

If you are a market researcher, media agency, a consumer behaviour analyst, a Social Media analyst, a not-for profit organization or a social cause foundation, policy maker, financial analyst, a pricing strategist, a business analyst or similar roles and have the need to analyse data to gather insights or make data driven interpretations or predictions - this session is ideally suited for you.

Level of learning?

Do you understand the data and have you worked with data before?
Do you already understand the role it plays in finding patterns / insights? Then this masterclass is for you!

Workshop leader

Jagannath Rao

Jagannath Rao

Professor of Practice
School of Engineering - University of Georgia

Jagannath Rao runs a complete course on Machine Learning and Data Science as part of Georgia Informatics institute in the engineering school. He retired in 2018 after having done a stint of 33 years at the global conglomerate Siemens and brings rich industry experience in areas ranging from Industrial Automation to Internet of Things. Apart from an education in AI, he has also spent many years in the practical application of these technologies in the business world and that includes the widespread application of "Big Data" technologies in the realm of manufacturing, covering topics such as plant analytics, asset analytics and digital services. In addition to his role at UGA, Jagannath also consults with industry clients in the space of AI & Machine Learning in the context of generating use cases and applying / implementing those technologies.

Jagannath is an Electrical engineer with a graduate degree in Knowledge Engineering (AI) and an MBA. He has worked around the globe in India, Germany, Singapore and the USA. With more than 30 years' experience, including practical hands on implementation, he brings a large body of expertise which he is imparting to the young engineers graduating today and industry professionals.

Jagannath has also served as the Chair of the Advisory Board, the University of Georgia - Athens, College of Engineering, and on the advisory boards of Arizona State University W.P. Carey School of Business, Center for Services Leadership, and the Georgia Institute of Technology, School of Biomedical Engineering, Advisory Board.