A data science course typically covers foundational subjects like statistics, machine learning, data visualisation, and ...

This course develops skills to uncover data patterns for making informed decisions. The course reinforces statistical analysis skills, leading to more advanced statistical techniques such as ...

The curriculum requires four mandatory courses, including a Capstone project, and three elective courses. The compulsory courses cover fundamental aspects of modern data analysis from both ...

As the world becomes ever more data-driven, analytical skills are in high demand but very short supply. This eight-week Data Analysis for Management course equips you with the skills to give your ...

Today, companies rely heavily on Artificial Intelligence (AI) and data science to run their business effectively and ...

Experience in working in spatial or GIS-based data analysis Evidence of training in urban-themed methods or topics (e.g. GIS). In your application, you should demonstrate aptitude, knowledge and/or ...

analysis of satellite observations and data science techniques more widely. Training in these areas will be complemented by hands-on learning aimed at developing your coding skills in scientific ...

At Smith, students learn statistics by doing—class time emphasizes problem-solving and hands-on contact with data. Many courses employ student-driven projects that allow students to pursue their ...

The curriculum is designed to equip students to execute all stages of a data analysis, from data acquisition and exploration to application ... The program prepares students to enter the workforce ...

Experts in data analysis, statistics and machine learning for physics came together from 9 to 12 September for PHYSTAT’s ...

The course will also be useful for students who are planning on managing or advising teams that work with data. We will discuss how to critically evaluate visualizations, and how to use them as a ...