Sign In With Google
Course Description
-
Course Name
Data Analysis
-
Host University
Pontificia Universidad Católica del Perú
-
Location
Lima, Peru
-
Area of Study
Aerospace Engineering, Biological Systems Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Engineering, Computer Science, Electrical Engineering, Electronics Engineering, Engineering Science and Math, Environmental Engineering, Industrial Engineering, Materials Science Engineering, Mechanical Engineering, Robotics Engineering, Systems Engineering
-
Language Level
Taught In English
-
Credits
3.5 -
Recommended U.S. Semester Credits0
-
Recommended U.S. Quarter Units0
Hours & Credits
-
Overview
Due to the increasing demand for specialists with knowledge of techniques and skills in the storage, analysis, interpretation and generation of knowledge from increasingly complex, diverse and larger data sets, this course seeks to train students in data analysis, so that they can apply better techniques in any area or organization that requires exploiting data and producing relevant information. The course provides an introduction to the KDD (Knowledge Discovery in Databases) methodology. It covers topics such as: data acquisition and preparation, transformation or extraction of features, data mining, visualization of results.
Course Disclaimer
Please note that there are no beginning level courses offered in this program.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.
Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.