Learn the fundamentals of AI, including machine learning, neural networks, and ethical considerations.
This is an intensive course on the principles and methods of data processing and statistical data analysis applicable across a wide range of fields. It covers data entry, cleaning, verification, and analysis, with a strong emphasis on selecting appropriate methods for particular datasets and interpreting results accurately.
The course includes substantial hands-on practical training.
Course Content
Topics include:
- data management;
- building a data management strategy;
- using SPSS and STATA in data management and analysis;
- basic statistical tools for data analysis;
- estimation and hypothesis testing;
- analysis of relationships;
- introduction to advanced statistical techniques; and
- practical exercises in data management and analysis.
Participants
The course is suitable for individuals interested in both the theoretical foundations and practical techniques of data analysis for research and professional projects.
Requirements
Participants are expected to have prior knowledge of basic statistics and should bring laptops with at least the following specifications:
- 64-bit operating system;
- Windows 7, 8, or 10; and
- 2GB or 4GB RAM minimum.