Unit of Competency Mapping – Information for Teachers/Assessors – Information for Learners

BSBITU501 Mapping and Delivery Guide
Conduct data analysis

Version 1.0
Issue Date: May 2024


Qualification -
Unit of Competency BSBITU501 - Conduct data analysis
Description
Employability Skills
Learning Outcomes and Application This unit describes the skills and knowledge required to identify and analyse numerical datasets from a range of sources. This unit also describes the necessary skills and knowledge to report findings of data analysis.This unit applies to individuals who are required to analyse numerical datasets and deduce findings as part of their job roles. Individuals that undertake this unit are typically in roles in which they are required to analyse data and communicate trends and/or make recommendations. No licensing, legislative, regulatory or certification requirements apply to this unit at the time of publication.
Duration and Setting X weeks, nominally xx hours, delivered in a classroom/online/blended learning setting.
Prerequisites/co-requisites
Competency Field
Development and validation strategy and guide for assessors and learners Student Learning Resources Handouts
Activities 		Slides
PPT 		Assessment 1 Assessment 2 Assessment 3 Assessment 4
Elements of Competency Performance Criteria              
Element: Identify background to reliable sources of data
  • Evaluate the importance of large and dynamic data sets for business insight and decision making
  • Evaluate the business value of large and dynamic data sets
  • Document and describe the interdisciplinary, social and industrial contexts of data impacting organisation
  • Evaluate reliability of potential sources, considering timeliness, authority, audience, relevance and potential for bias
  • Access selected sources in accordance with the relevant organisational policy
       
Element: Analyse and synthesise numerical datasets
  • Select methods of numerical data analysis in accordance with relevant industry standards, precedents and techniques
  • Compare and contrast how structured and unstructured data is stored and accessed
  • Evaluate the importance of real-time data access in exploiting large data sets
  • Identify trends and draw inferences in accordance with relevant industry standards, precedents and techniques
       
Element: Produce meaningful outputs
  • Determine which trends and inferences are relevant in line with the purpose of the analysis and the relevant organisational strategies
  • Identify appropriate methods of reporting, considering the intended audience and relevant organisational requirements
  • Produce output that is clear and concise within a pre-determined timeframe
  • Circulate to appropriate stakeholders in accordance with relevant organisational policy
       

Submission Requirements

List each assessment task's title, type (eg project, observation/demonstration, essay, assignment, checklist) and due date here

Assessment task 1: [title]      Due date:

(add new lines for each of the assessment tasks)

Assessment Tasks

Copy and paste from the following data to produce each assessment task. Write these in plain English and spell out how, when and where the task is to be carried out, under what conditions, and what resources are needed. Include guidelines about how well the candidate has to perform a task for it to be judged satisfactory.
Copy and paste from the following performance criteria to create an observation checklist for each task. When you have finished writing your assessment tool every one of these must have been addressed, preferably several times in a variety of contexts. To ensure this occurs download the assessment matrix for the unit; enter each assessment task as a column header and place check marks against each performance criteria that task addresses.

Observation Checklist

Tasks to be observed according to workplace/college/TAFE policy and procedures, relevant legislation and Codes of Practice Yes No Comments/feedback
Evaluate the importance of large and dynamic data sets for business insight and decision making 
Evaluate the business value of large and dynamic data sets 
Document and describe the interdisciplinary, social and industrial contexts of data impacting organisation 
Evaluate reliability of potential sources, considering timeliness, authority, audience, relevance and potential for bias 
Access selected sources in accordance with the relevant organisational policy 
Select methods of numerical data analysis in accordance with relevant industry standards, precedents and techniques 
Compare and contrast how structured and unstructured data is stored and accessed 
Evaluate the importance of real-time data access in exploiting large data sets 
Identify trends and draw inferences in accordance with relevant industry standards, precedents and techniques 
Determine which trends and inferences are relevant in line with the purpose of the analysis and the relevant organisational strategies 
Identify appropriate methods of reporting, considering the intended audience and relevant organisational requirements 
Produce output that is clear and concise within a pre-determined timeframe 
Circulate to appropriate stakeholders in accordance with relevant organisational policy 

Forms

Assessment Cover Sheet

BSBITU501 - Conduct data analysis
Assessment task 1: [title]

Student name:

Student ID:

I declare that the assessment tasks submitted for this unit are my own work.

Student signature:

Result: Competent Not yet competent

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Assessor name:

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Assessment Record Sheet

BSBITU501 - Conduct data analysis

Student name:

Student ID:

Assessment task 1: [title] Result: Competent Not yet competent

(add lines for each task)

Feedback to student:

 

 

 

 

 

 

 

 

Overall assessment result: Competent Not yet competent

Assessor name:

Signature:

Date:

Student signature:

Date: