Course Outline
- Research questions and problems
- The nature of research in business
- What kind of business problems need a research study?
- What are the key issues in research methods?
- Inductive or deductive reasoning, explanation, prediction
- Identyfing and reviewing relevant literature
- Choosing research approaches and strategies
- Research paradigms for business
- Qualitative and Quantitative methods and how they can be related
- Criteria of validy and reliability in the context of business research
- Selecting appropriate sampling technique for different research studies
- Quantitative research methods
- Types of data for analysis
- Choosing appropriate methods and tools
- Statistical methods
- Designing questionnaire and testing
- Using secondary data
- What to look for a secondary data and where to find it
- The contribution of secondary data to business research
- The advantages of using secondary data in business research
- Presenting research reports and communication
- Writing a report from research
- Content of a report for a business audience
- Communicating results, methods and media
- Producing presentations of key findings
- Code of professional conduct and ethics
- Code of ethics
- History, Concept of informed consent
- Data Ownership
- Privacy and technology
- Anonymity
- Data Validity
- Algorithmic Fairness
- Consequences for society
- Code of professional conduct
Requirements
There are no specific requirements needed to attend this course.
Testimonials (5)
Trainer was accommodative. And actually quite encouraging for me to take up the course.
Grace Goh - DBS Bank Ltd
Course - Python in Data Science
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Mathipa Chepape - Vodacom
Course - Big Data Business Intelligence for Telecom and Communication Service Providers
Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra
Marija Hornis Dmitrovic - Marija Hornis
Course - Data Science for Big Data Analytics
It is great to have the course custom made to the key areas that I have highlighted in the pre-course questionnaire. This really helps to address the questions that I have with the subject matter and to align with my learning goals.
Winnie Chan - Statistics Canada
Course - Jupyter for Data Science Teams
examples and exercises
Kamil
Course - Introduction to Data Science and AI using Python
Machine Translated