ANA102 – Tools for Data Exploration

Unit code & Title	ANA102 Tools for Data Exploration
Pre-requisite	Not Applicable
Delivery modes	On-campus; Online;
Credit points	10
Study commitment	Average of 150 hours of teaching, learning and assessment over the trimester.
Scheduled learning (On-campus)	2 × 3 hours on-campus seminar and tutorial weekly (for block mode)
Scheduled learning (AIA Online)	Recorded contents + 2 × 3 hour online seminar and tutorial weekly
Learning Outcomes	ULO1 - Understand the role, techniques, processes, and tools for Exploratory Data Analysis (EDA). ULO2 - Apply practical knowledge and conduct data exploratory analysis in a systematic approach. ULO3 - Be familiar with the widely used tools such as MS Excel, SAS, Power BI and Tableau and select appropriate tools for exploratory analysis tasks. ULO4 - Conduct preliminary exploratory analysis to examine the quality and context of the data. ULO5 - Understand the strategies for handling missing data and apply data imputation techniques to resolve the issues. ULO6 - Be able to examine the shape of data with statistical measures and visualization tools. ULO7 - Learn to search for correlations and associations among variables with bivariate, multivariate analysis. ULO8 - Be able to detect and profile similarities of observations with clustering and segmentation. ULO9 - Be able to detect outliers and apply treatment strategies and techniques. ULO10 - Learn to transform data features based on the shape/distribution of data. ULO11 - Learn to effectively communicate data exploration results with specialized visualizations.

Overview

Exploratory Data Analysis (EDA) is the critical process of conducting preliminary investigations conducted on data to assess the data quality, to understand variables, to discover the distribution of data, to identify and treat anomalies, to discover association and patterns, and to transform the data for advanced analysis tasks. The purpose of the unit is to equip the students with essential knowledge and skills of performing data exploration in a code-free environment with widely adopted tools such as MS Excel, SAS, Power BI and Tableau. Upon finishing this unit, students will be comfortable to adopt appropriate tools to facilitate the data exploration processes and communicate with non-technical audiences with the findings and insights generated from the analysis.

Unit Fee Information

Fees and charges vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study and their study discipline, and your study load.

Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.

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Important Dates

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