LIS 5643 - Introduction to Data Analytics

The primary objective of this course centered on developing proficiency in selecting the most appropriate data analytic tools based on the available data, and subsequently, interpreting the insights derived from the analysis (Personal Goal 1.2). Throughout the course, the data analytic tool "R" remained the main software used. The artifact chosen for emphasis is an assignment that entailed working with a substantial dataset. Our task involved identifying and eliminating data points with missing variables to ensure the integrity of the dataset for subsequent interpretation and justification if required. Specifically, we were tasked with removing missing variables from a dataset containing movie ratings across various genres, and subsequently determining the median and modes of the remaining genre ratings (OU SLO 5 - Methods and Analysis).

Analysis

This course and its assignment initially presented significant challenges for me. Coming from a background in elementary education during my undergraduate, I lacked knowledge in computer science and data analytics, which were what this entire course was (Personal Goal 1.1). However, I was determined not to let this hinder my progress. Despite the initial hurdles, I worked hard to acquire the necessary skills for effectively cleaning and interpreting data (OU SLO 1 - Core Knowledge)(ALA Competency 1 - Foundations of the Profession). In particular, this assignment, which involved removing missing variables from extensive datasets, will prove invaluable when handling raw survey data. It's common for respondents to leave fields blank on surveys, which can significantly distort the resulting data and impact decision-making processes. Through this assignment, I developed proficiency in using "R" to address missing data, resulting in datasets that could more accurately reflect the library's user base (Personal Goal 1.3). This assignment, along with others in the course, also served to enhance my problem-solving abilities. As I encountered challenges and discrepancies in my coding, I gained valuable insights into identifying and solving errors, ultimately strengthening my problem-solving skills in the process (OU SLO 2 - Intellectual Skill).

Reflection

It was during my time as a circulation manager that I learned how crucial data is to libraries and the justification of their relevancy in higher education settings. A major part of my job was painting usage statistics so we could provide it to the administration at the end of the year and show how much students and faculty use the library in order to succeed but educationally and professionally. It was during that job I decided to obtain a certificate in data analytics alongside my degree. I intend to leverage the knowledge acquired in this course, particularly in data cleaning, and the skills honed in data interpretation, to further reinforce library significance in facilitating student success in all aspects of their journey.