Data analysis methods - invitation for a lecture

The focus of business has shifted from from monitoring various metrics to actually basing strategic decisions on insights from data analysis. This has put emphasis on data-driven KPIs and measureability of success. Data analytics plays a huge role in success of a business in this age of digital gold that is data.

We invite you to the lecture of Professor Quji Bichia "Data analysis methods" on May 25 at 9:45-11:15 in classroom 102.

We will discuss how data is reshaping our world in front of us and what future prospects are opening up. Lecture will touch on data analysis techniques that are used in predictive analytics - univariate and multivariate analysis. These methods help identify relationships between different metrics and predict the future. While data analysis combines many techniques, predictive techniques are certainly the most exciting ones. Univariate and multivariate methods can be used in various industries from sales predictions in retail and loan risk assessment in banking to analysing medical data and so on. We will discuss the methodology and briefly connect it with some use cases. 

 

Quji Bichia

Professor, Business and Technology University

Tbilisi, Georgia 

In 2020 Completed a PhD program at Iv. Javakhishvili Tbilisi State University, Tbilisi, Georgia in economics on a topic of “The effect of group behavior on individual economic decisions”. Since 2016 visiting lecturer at universities like Iv. Javakhishvili Tbilisi State University, European University and others in the fields of microeconomics, game theory and data analytics. In 2018 visited WSB University at Dąbrowa Górnicza, Poland through a teaching exchange program. Since 2021 professor at Business and Technology University. Participated in multiple research and teaching projects and conferences. Author of 9 scientific papers and a monograph. Since 2021 a global data analyst at FINCA Impact Finance, an international microfinance organization.

 
 
 

    News

    Date of addition
    17 May 2023