In-depth understanding of the fundamental concepts and principles in the fields of computer science, statistics, and mathematics relevant to data science.
Familiarity with a diverse range of statistical and mathematical methods and techniques used in data analysis.
Understanding of the ethical and social issues related to data collection, use, and analysis, including privacy.
Ability to identify, criticize, and formulate data-related problems and develop effective and innovative solutions using data science methods.
Ability to communicate analysis results and extracted insights effectively and clearly to both specialized and non-specialized audiences, whether orally, in writing, or through presentations.
Applying statistical and mathematical methods, in conjunction with machine learning algorithms, to analyze complex datasets and interpret results accurately.
