DATA 301 Introduction to Data Analytics

Spring (Winter Term 2) 2017 - University of British Columbia Okanagan

Overview

DATA 301 provides an introduction to data analytics to train students with practical industrial techniques for data manipulation, analysis, reporting, and visualization. This was the third course offering. Industrial skills covered include Excel, Excel VBA, databases and SQL, Linux command line, programming/scripting with Python, data analysis with R, GIS, and data visualization including using Tableau.

On-line Resources

Student Performance

Of the 79 registered students who started the course, 71 got a D or above. The average GPA was 3.40. Charts showing the mark breakdown are below.

Mark Breakdown Percentage Mark Breakdown

Comments

This class was very well received (instructor rating: 4.91). The labs are very practical hands-on, and many students found Excel valuable. Class time is spent doing clicker questions and practice questions on the computer as much as possible. Students in many disciplines (business, arts, science) were able to learn the content even with highly variable backgrounds in computers. There is about 50% of the population in Computer Science.

Strengths of the Course

Weakness of the Course

Most Enjoyable Part of the Course


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