Who should attend
The programme will be targeted towards participants and organizations that are looking to build expertise in data science and intend to utilize machine learning tools for their data analysis needs. The cohort will be a mix of junior and middle level participants with at least a bachelors degree. The bachelors or higher degree should have provided sufficient exposure to the participants on mathematics and computing.
About the course
The programme on Data Science for Business is a mix of data analysis and optimization tools, and primarily covers the recent developments in the area of machine learning. It will have a strong focus on applications and working of the algorithms so that the participants get a thorough insight in the field of data science. The programme takes a practice-based approach for teaching concepts and tools that are needed for making data driven decisions in business. The participants in this course are expected to have a strong quantitative background to be able to finish the course successfully.
The objective of the course is to introduce various methods from the domains of machine learning and optimization that will be useful to make business decisions when faced with large amount of data. The objectives of the course are as follows:
- Train the participants on handling both small and large amount of data and perform tasks such as classification and predictive modeling. The training will be useful in automating business operations decisions with the use of data.
- Train the participants on using important data analysis and optimization libraries that are available off-the-shelf.
- Give an insight to the participants on how data-driven ideas are being used to develop artificial intelligence technologies to enhance human potential and solve challenging problems using machines.
Educational Qualifications Ph.D in Quantitative Methods (2008-2011) Aalto University School of Business, Helsinki Finland (Former Helsinki School of Economics) B.Tech in Mechanical Engineering (2002-2006) Indian Institute of Technology, Kanpur India Academic Affiliation Assistant Professor In...
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Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.