Skip to Main Content
Catalogue Link
<a href="/ords/r/curriculum/catalogue/home" class="t-Header-logo-link"><span class="apex-logo-text">Handbook</span></a>
Hidden Page Items
New
5
New
HE Unit Template
New
Data Analytics
New
ITECH2303 - Data Analytics
New
20250600
New
New
New
New
Course
New
Unit
New
New
4.1
New
New
2026-09-10
New
2026-09-10
New
Information Technology
New
New
New
New
Institute of Innovation, Science & Sustainability
New
Information Technology
New
Undergraduate
New
15
New
New
.125
New
020303
New
Database Management
New
020303 - Database Management
New
<a href="http://www.federation.edu.au/locate/unit/itech2303">View unit fees</a>
New
Graded (e.g. HD, D, C, etc)
New
7
New
Bachelor Degree
New
Intermediate
New
New
New
New
1
New
New
New
New
New
false
New
New
New
<p>This unit will provide students with an understanding of the major components of the data analytics process, the various methods for data analytics, knowledge of the applications and technical aspects of data analytics, and skills to apply data analytics in real-world problems.</p>
New
New
<p>Topics may include:<br>
1. The need for data analytics.<br>
2. The characteristics of major components of the data analytics process.<br>
3. Different types of data<br>
4. The principles of different methods for data analytics.<br>
5. Python programming for data manipulation (pandas library)<br>
6. Descriptive statistics<br>
7. Data visualisation<br>
8. Exploratory Data Analysis<br>
9. Model building and model representation.<br>
10. Model evaluation, overfitting, underfitting<br>
11. Key and emerging application areas.<br>
12. Data Science</p>
New
true
New
<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
New
true
Hidden Page Items
Semester
Semester
0200
Year
Year
2027
Current Year
2026
Breadcrumb Positioning
Handbook
ITECH2303 - Data Analytics
Pseudo Breadcrumb
ITECH2303 - Data Analytics
Breadcrumb Type
Unit
Catalogue Term and Year
Version Text
You are viewing a version for
Semester
Semester 1
Semester 2
Summer Semester
Year
2027
2026
Download PDF
RDS Holder
Overview
Key information
Requisites
Learning outcomes
Assessment
FedTASK
Parent Region
Overview
Unit description
<p>This unit will provide students with an understanding of the major components of the data analytics process, the various methods for data analytics, knowledge of the applications and technical aspects of data analytics, and skills to apply data analytics in real-world problems.</p>
Unit content
<p>Topics may include:<br> 1. The need for data analytics.<br> 2. The characteristics of major components of the data analytics process.<br> 3. Different types of data<br> 4. The principles of different methods for data analytics.<br> 5. Python programming for data manipulation (pandas library)<br> 6. Descriptive statistics<br> 7. Data visualisation<br> 8. Exploratory Data Analysis<br> 9. Model building and model representation.<br> 10. Model evaluation, overfitting, underfitting<br> 11. Key and emerging application areas.<br> 12. Data Science</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Information Technology
Study level:
Undergraduate
Credit points:
15
EFTSL:
0.125
Field of education:
020303 - Database Management
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/itech2303">View unit fees</a>
Requisites
Prerequisite
<p>must have completed "<a href="/ords/r/curriculum/catalogue/course?p6_code=ITECH1103" target="_blank">ITECH1103</a>"</p>
Corequisite
None
Exclusion
None
Learning outcomes
Learning outcomes
<p>On successful completion of this unit, students are expected to gain the following [K]nowledge, [S]kills and [A]pplication of knowledge & skills</p>
Learning Outcomes
Ref
Outcome
K1
<p>Describe the components of the data analytics process.</p>
K2
<p>Explain different methods for evaluating data analytics models.</p>
S1
<p>Create data analytics models.</p>
S2
<p>Apply various data preparation and preprocessing methods to data.</p>
A1
<p>Choose and/or implement an appropriate data analytic solution for a specific problem.</p>
Assessment
Learning Tasks and Assessment
Ref
Learning task
Assessment type
Weighting
Learning outcomes assessed
1
<p>Students will employ various exploratory techniques on a problem of their own choice from a selection of online repositories.</p>
<p>Projects / Assignments</p>
<p>10%-15%</p>
S1, S2
2
<p>Students will choose and/or implement an appropriate data analytic solution for a chosen specific problem, focussing on the data preparation, preprocessing, stages. The assessment also includes theoretical questions to provide context and opportunities for reflection on the analytical tasks undertaken, including description of the components of the data analytics process.</p>
<p>Projects / Assignments</p>
<p>30%-50%</p>
K1, S2, A1
3
<p>Students will create data analytics models, apply various data preparation, preprocessing, analytic solutions for a specific problem. This will be written up as a report, which also includes theoretical questions to provide context and opportunities for reflection on the analytical tasks undertaken. The assessment also involves application of different methods for evaluating data analytics models.</p>
<p>Projects / Assignments</p>
<p>30%-50%</p>
K1, K2, S1, S2, A1
4
<p>Students will provide theoretical answers and work out solutions to a range of questions and problems designed to test their understanding on data analytic concepts, principles and applications.</p>
<p>Test(s)</p>
<p>0%-30%</p>
K1, K2, A1
5
<p>Complete laboratory activities and engage in in-class discussions synchronously or asynchronously as appropriate</p>
<p>Participation in laboratories</p>
<p>5%-10%</p>
K1, K2, S2, A1
Supplementary assessment available:
Yes
Supplementary assessment information:
<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
FedTASK
FedTASK
Description of FedTASK outcome
Level
FedTASK 1: Interpersonal
The ability to effectively communicate, interact and work with others both individually and in groups.
<p>Level 2 - Student demonstrates some independence within provided guidelines</p>
FedTASK 2: Leadership
The ability to apply professional skills and behaviours in leading others.
<p>Level 2 - Student demonstrates some independence within provided guidelines</p>
FedTASK 3: Critical Thinking and Creativity
The ability to work in complexity and ambiguity using imagination to create new ideas.
<p>Level 2 - Student demonstrates some independence within provided guidelines</p>
FedTASK 4: Digital Literacy
The ability to work fluently across a range of tools and applications to achieve a range of skills.
<p>Level 2 - Student demonstrates some independence within provided guidelines</p>
FedTASK 5: Sustainable and Ethical Mindset
The ability to consider and assess the consequences and impact of ideas and actions in enacting ethical and sustainable decisions.
<p>Level 2 - Student demonstrates some independence within provided guidelines</p>
FedTASK
<p>Federation University recognises that students require key transferable employability skills to prepare them for their future workplace and society. FedTASKs (<strong>T</strong>ransferable <strong>A</strong>ttributes <strong>S</strong>kills and <strong>K</strong>nowledge) provide a targeted focus on five key, transferable Attributes, Skills, and Knowledge that are embedded within curriculum, developed gradually towards successful measures and interlinked with cross-discipline and co-operative learning opportunities.</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Information Technology
Study level:
Undergraduate
Credit points:
15
EFTSL:
0.125
Field of education:
020303 - Database Management
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/itech2303">View unit fees</a>
Additional information
Add Info Static Text
Internal reference: ITECH2303 - U4.1