Statistics for Data Analysis (advanced)

The course aims to provide a comprehensive set of theoretical and practical knowledge necessary for the systematic and accurate collection of data relevant to business economics. The course will cover various methodologies for data collection, including surveys, interviews, experiments, and the use of secondary sources. Additionally, the course aims to develop skills in applying the most appropriate statistical methods for analyzing these economic phenomena. This ensures that students can perform detailed and accurate analyses, correctly interpret the results obtained, and use this information to make informed and strategic business decisions.

By the end of the course, the student will have acquired an in-depth understanding of fundamental statistical concepts, including mean, median, mode, variance, and standard deviation, as well as the distinction between qualitative and quantitative variables and between discrete and continuous data. The student will be able to collect, organize, and analyze data from professional contexts, using data collection techniques such as surveys, experiments, and secondary sources, and representing the data in tables and graphs, such as histograms, bar charts, and scatter plots. Additionally, the student will develop skills in analyzing various types of data and performing statistical inferences, understanding the concepts of population and sample, sampling techniques, and gaining the ability to construct and interpret confidence intervals and hypothesis tests. Through learning data analysis techniques, students will be able to identify trends, make predictions, and contribute significantly to the decision-making process within organizations.