About the workshop:
This masterclass zooms in into the developments of the data science field. A critical success factor for many companies is the way they crunch their structured and unstructured (text, audio, video or image) data to improve their managerial decision-making. This workshop zooms in into the state-of-the art of the current field of Operations Research and discusses three types of analytics: predictive, explainable and responsible analytics. These types are illustrated with real-life case studies.
Duration: 1 hour + Q&A
Instructor : Professor Kristof Coussement,
Professor of Business Analytics
Director of the IÉSEG Center of Marketing Analytics (ICMA)
Academic Director of the MSc in Big Data Analytics for Business
Lille campus, France
Session date : 7th April, 2023
Timings : Friday 7 :30pm – 9:30pm IST
4: 00pm – 6:00pm Paris time
Mode of workshop: ONLINE
Registration fees and Certificate
Course Fee : Rs 236/- ( Rs 200 +18% GST)
Certificate : Certificates will be provided to ONLY those participants who attend the workshop.
About the Instructor
Professor Coussement develops and teaches several business analytics and data science courses amongst “Business Analytics”, “Fundamentals of Data Science”, “Data Science for Managers” and “Analytical Customer Relationship Management” in specialized masters, doctoral programs and executive education programs. He co-developed an online methodological course “Text Analytics” on BlueCourses that is an online data science learning platform whose profits are used to clean up our precious oceans from plastic. He chairs a post-graduate MSc in Big Data Analytics for Business that is specifically designed to deliver business-value creating data scientists to the global job market.
In his research, Professor Coussement primarily aims to advance the business analytics field by developing innovative, value creating decision support frameworks. He is acclaimed for his work on incorporating textual data sources into conventional – mainly predictive modeling – settings using text analytics and deep learning methodologies and his contributions to the field of interpretable data science. His work has been published in international peer-reviewed journals like Research Policy, International Journal of Forecasting, Data Mining and Knowledge Discovery, Decision Support Systems, Information & Management, International Journal of Information Management, European Journal of Operational Research, Annals of Operations Research, Sensors, Computers in Human Behavior, Journal of Product Innovation Management, Journal of World Business, Journal of Business Research, Journal of Advertising Research, Industrial Marketing Management, Journal of Marketing Management, European Journal of Marketing, Computational Statistics & Data Analysis, Expert Systems with Applications, Knowledge-based Systems, and several other journals. He founded and chairs the IÉSEG School of Management Center for Marketing Analytics (ICMA) that is a research center focusing on developing innovation trajectories in data science with companies. He has been chair holder of several research projects for large European companies, including La Redoute (2014- 2017), InSites Consulting (2014-2017), Leroy Merlin (2016-2019), and Crédit Agricole (2016- 2019), and is currently leading the IÉSEG School of Management (2017-2023), Enfocus (2020- 2023), Oney Bank (2020-2023) and Crédit Agricole (2020-2023) research chair. He serves as Senior Editor on the editorial board of Decision Support Systems since 2019.
Professor Coussement has been visiting various institutions as a Visiting Fellow, including the University of Western Australia (Australia) (2013, 2014, 2019, 2020, 2023), HEC Liège (Belgium) (2022), TIAS School for Business & Society (Netherlands) (2018, 2019, 2020, 2021, 2022), HSE University (Russia) (2019, 2020, 2021), Vlerick Business School (Belgium) (2014, 2015), Geneva School of Economics and Management (Switzerland) (2013, 2014, 2015), and EM Lyon (France) (2011).
Professor Coussement regularly delivers tailor-made executive education workshops and advises companies on how to innovate and create business value through data science. He has solved various data science puzzles by crunching datasets originating the banking & insurance (Crédit Agricole, AXA, ING, Crelan, Oney), retailing & e-tailing (La Redoute, Manutan, Metro, Leroy Merlin, Amazon), entertainment & publishing (Bwin.com, Canal+, Corelio), social media (Twitter, CSRwire, Reviewcentre.com), IoT (Mealhero), human resources (Adecco), consulting (InSites Consulting, Direct Social Communication) and telecommunication (Orange, Telenet) industry.
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