Advanced Analytics - Big Data

Overview

The graduate of the programme can be employed as a specialist in advanced data analysis in manufacturing companies, banks, insurance and telecommunications companies, public administration and research centres specializing in advanced data analytics. The Advanced Analytics – Big Data BA course at Warsaw School of Economics (SGH) also prepares students to conduct research and to take up third-cycle studies. 

Benefits:

• Become knowledgeable about computer science in the area of extracting, clearing, storing and processing of structured and unstructured data.
• Learn how to extract information from complex data structures and how to represent them in computer systems, and how to formulate and interpret results of data analysis.
• Gain knowledge regarding mathematical, statistical and computer methods and techniques of data analysis required in social and economic problem-solving.
• Be able to extract data from a variety of sources including databases, text files, multimedia files, social networks, sensor data, geolocation data.
• Know how to query SQL and non-SQL databases alike, prepare data for analysis, build models for data analysis using a variety of mathematical, statistical and computer science tools and formulate hypotheses and opinions using the models.
• Design representation research and conduct statistical analysis used in studying economic processes and phenomena.
• Analyse multidimensional data and apply the methods of multidimensional analysis in business and economic analyses.
• Become aware of the performed professional and social role, specifically in areas where mathematics, statistics, econometrics and computer tools are used, and set benchmarks for professional ethics.
• Understand and use the quantitative approach to describe economic processes, social interactions and business issues.
• Learn how to analyse spatial data and to adjust visualizations to the client’s requirements.
• Learn to implement computer systems based on knowledge processing and to implement results of data analysis in business solutions.