linkedin behance facebook instagram odnoklassniki twitter vimeo vk youtube logo-edx
Əsas məzmuna keçin

DATA MINING, COLLECTION, PROCESSING AND MANAGEMENT


This course provides basic theoretical and practical knowledge of working with secondary and primary data in the research process. Students get knowledge of techniques for searching scientific literature and collecting primary and secondary data. Some basic information on how to use data mining and statistics for analysis of quantitative data, as well as how to process qualitative data is also provided. Visualizing results in quantitative and qualitative research, as well as data ethics, is included, too.

Qeydiyyat bağlıdır

About This Course

Intended learning outcomes

    After finishing this course the learners are expected to be able to

  • Search and manage relevant scientific literature
  • Differentiate among data types 
  • Understand what data mining is
  • Select the method for primary data collection
  • Find open secondary research data
  • Use descriptive statistics for data processing
  • Understand how to conduct hypothesis testing using inferential statistics
  • Select the appropriate method for qualitative data analysis
  • Distinguish among different manners in visualizing data
  • Manage research data
  • Address ethical issues when dealing with research data

Learning activities

The learning activities in this course consist of videos, text, discussions, quizzes, and assignments. Some of the videos are recorded by the designer of the course others are those selected by the designers from available open-source videos and considered as appropriate for this course.

Each section starts with "About this section" that describes the activities within the section and provides a summary of the content in the section. It ends with three sub-sections, one providing a summary of the section, the other one testing the knowledge gained with a quiz with 10 automatically graded questions, and the third one testing the skills gained through an assignment students should submit for grading.

Outline of the course

    Besides the section "About the course" the course has seven sections. They are listed below.

  • Mining and managing scientific literature
  • Mining data
  • Collecting data
  • Processing quantitative data
  • Statistical tests
  • Processing qualitative data
  • Visualizing and managing data
  • Requirements

    This is a pilot course. Therefore, there are no requirements.

    Course Staff

    Course Staff Image #1

    Abutab Abbasova

    Abutab Abbasova is a Senior Specialist at the Innovation in Education Department of the Institute of Education. She holds a BA in International Studies from ADA University and an MSc in Development Studies from SOAS, University of London. At the moment, she is also a Young European Ambassador of Azerbaijan, general manager at Azerbaijan Science Association, a core team member at Earthpreneurs Azerbaijan and FAN Ambassador.

    Frequently Asked Questions

    What web browser should I use?

    The Open edX platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.

    See our list of supported browsers for the most up-to-date information.