bus5dwr data wrangling and r
DATA WRANGLING AND R
BUS5DWR
2019
Credit points: 15
Subject outline
This subject introduces you to the various techniques of data wrangling with a strong focus on hands-on experience in R and SQL programming. It will cover the basic concepts in relational database design including Entity Relationship (ER) modelling and Structured Query Language (SQL) as a tool for basic data wrangling. You will also learn various types of data sources and common data formats. The subject teaches you R programming language for you to perform data wrangling tasks, including data import and export, basic data integration and data assessment. Upon completion, you will be able to perform a variety of data wrangling tasks using SQL and R for different kinds of data types.
SchoolLa Trobe Business School
Credit points15
Subject Co-ordinatorKok-Leong Ong
Available to Study Abroad StudentsNo
Subject year levelYear Level 5 - Masters
Exchange StudentsNo
Subject particulars
Subject rules
Prerequisites Enrolled in LMBAN, LCBAN, LGBAN; or subject coordinator approval
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjectsN/A
Special conditionsN/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Data Wrangling with R (Use R!) | Recommended | Boehmke, B., 2016 | Springer International Publishing |
| Readings | The Essentials of Data Science | Recommended | Williams, G., 2017 | CRC Press |
| Readings | Microsoft SQL Server 2016: A Beginner's Guide | Recommended | Petkovic, D., 2016 | McGraw-Hill Education |
Graduate capabilities & intended learning outcomes
01. Develop knowledge of structured database design and demonstrate capability of data wrangling with SQL
- Activities:
- Seminar
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking)
02. Develop knowledge of various data formats and motivation for data wrangling
- Activities:
- Seminar
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing)
03. Demonstrate capabilities in hands-on coding knowledge as a way to process data
- Activities:
- Seminar
- Related graduate capabilities and elements:
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
04. Demonstrate data wrangling expertise via various data assessment through the use of SQL and R coding
- Activities:
- Seminar
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking)
Subject options
Select to view your study options…
City Campus, 2019, Semester 1, Night
Overview
Online enrolmentYes
Maximum enrolment size120
Enrolment information Room capacity order of application
Subject Instance Co-ordinatorKok-Leong Ong
Class requirements
SeminarWeek: 10 - 22
One 3.0 hours seminar per week on weekdays at night from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Individual Assignment (2000 words) | Demonstrate knowledge in database design and proficiency in data wrangling using SQL. | 40 | 01 |
| Individual Assignment (1000 words) | Demonstrate knowledge on various data sources, data format and motivation for data wrangling and its implications to business analytics. | 20 | 02 |
| Individual Assignment (2000 words) | Demonstrate proficiency in data wrangling using R and SQL. | 40 | 03, 04 |
City Campus, 2019, Semester 2, Night
Overview
Online enrolmentYes
Maximum enrolment size120
Enrolment information Room capacity order of application
Subject Instance Co-ordinatorKok-Leong Ong
Class requirements
SeminarWeek: 31 - 43
One 3.0 hours seminar per week on weekdays at night from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Individual Assignment (2000 words) | Demonstrate knowledge in database design and proficiency in data wrangling using SQL. | 40 | 01 |
| Individual Assignment (1000 words) | Demonstrate knowledge on various data sources, data format and motivation for data wrangling and its implications to business analytics. | 20 | 02 |
| Individual Assignment (2000 words) | Demonstrate proficiency in data wrangling using R and SQL. | 40 | 03, 04 |