Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.
Introduces descriptive statistics, uncertainty quantification, and variable relationships, emphasizing the importance of statistical interpretation and critical analysis.
Explores data virtualization in SmartDataLake project, covering query optimization, storage tiering, and challenges in processing heterogeneous data.
Discusses the influence of Big Data on mobility planning and optimization, exploring its promises and limitations.
