Open Universities Australia

Dashboard

Find key dates

Access my LMS

Change my studies

Support

Manage my account

View statements & reports

Request online support

Refer a friend

Architecture & construction

Art & creative design

Business & management

Community services & care

Education & teaching

Engineering

Health & medical science

Humanities & social science

IT & computer science

Law & justice

Media & communication

Psychology & mental health

Science

Search all courses

Explore study online

Undergraduate degrees

Postgraduate courses

University certificates

Pathways and pre-university

Single subjects

Microcredentials

Short courses

Study types

Help me choose a course

Chat with a student advisor

Compare courses

Degrees vs single subjects

Choosing a course

Study online

How OUA works

Key dates

How to enrol

Applying for credit

Study planning

Minimum age requirements

Textbooks & study materials

Computer requirements

International students

Getting started

Student loans

Study allowances

Commonwealth supported places

Fees

Financial options

Study support

Study preparation

Disability support

Elite athletes

Exams

Special Circumstances

Your studies

Advice

13 6736

Study undergraduate online with La Trobe University through Open Universities Australia. Explore all degrees, subjects and short courses now.

Data Analytics Concepts

Data-Based Critical Thinking

Disruption in Business

This subject helps the student evaluate data-based evidence encountered in everyday life. It provides the fundamental numeracy skills required by business people, scientists, lawyers, nurses, journalists, social scientists, teachers and other professionals who need to evaluate data-based arguments, whether found in newspapers, television or on-line websites. This is achieved by a combination of studying newsworthy topics introduced in lectures, laboratory classes which encourage engagement with others and on-line quizzes that assess numeracy skills. The four themes covered in this subject are gathering useful data, turning data into information, probability and from data to decision making.

Any modern business today will utilise some form of spreadsheet tool to review, manipulate and visualise data (in the form of charts for reporting). A spreadsheet tool also enables one to undertake advanced tasks on business data, such as performing scenario analyses and undertaking complex data analytics, for example creating a forecasting model. In this subject, you will learn how to use two technological tools to undertake data analysis. The first tool is Structure Query Language (SQL), which we will use to pull relevant data into Excel and facilitate further analysis. Next, various advanced Excel analyses including pivot tables, statistical analysis, and creation of basic forecasting models will be covered. Upon successful completion of this subject you will be proficient in basic data analysis using Excel and SQL, setting you up to become an analytical and data driven problem solver. With these skills, you will also be ready to identify insights allowing you to disrupt typical business operations systematically and with a higher chance of success.

Get up to speed with basic data analysis using SQL and Excel. You’ll delve into the data analytics concepts and processes used in business today. Find, present, and explain data trends. Solve complex business problems.

The ability to visualise data is one of the most useful forms of data analysis and data presentation. Data visualisation provides an accessible way to see and understand trends, outliers and patterns in data. Nowadays there are many different tools for collecting and querying data. In order to gain full benefit from the collected data we need to visualise the data. In this subject you will learn the following: how to prepare data for visualisation; the design principals for creating effective data visualisations; and how to communicate your data analysis using reports containing data visualisations. You will learn how to use state of the art software tools for generating insightful and interactive data visualisations.

Data Visualization

Companies are acquiring massive amounts of data and providing Internet-based service to millions of people. This is extremely challenging due to the large scale of data involved and the huge number of concurrent requests by users. This subject will cover the current state-of-the-art technologies for analysing huge amounts of data and responding to millions of user requests within one second. Currently the most cost-efficient way of achieving the above aim is to use large-scale cloud-based services offered by vendors such as Amazon, Google, IBM, Microsoft, etc. You will have the opportunity to learn how to use the cloud services provided by Amazon Web Services to meet the big data needs of businesses. The subject will also cover how to program the world’s most popular Big Data analytics framework called Hadoop with a focus on Map Reduce, Hive and Apache Spark.  This subject will also cover the following topics: cloud architectures, parallel database systems, key value stores, transaction support in the cloud, virtualization, and multi-tenant database systems.

Big Data Management on the Cloud

Traditional business models are being disrupted by numerous factors. Chief among them are new technologies that change how businesses operate. One commonality observed among these disruptive trends is the role of data. Data has become a highly valued business asset, forming a strong foundation to high quality decision processes. This subject will introduce you to the role of data in disrupting traditional business operations and formulating business strategy. You will gain an appreciation of how data can be turned into business insights through a process called analytics, using examples across a range of business problems. On completion of this subject, you will appreciate the pivotal role that data and analytics play in various strategic initiatives within organisations, and the strategies that link analytics to business performance while balancing issues such as ethical and data governance.

La Trobe University Undergraduate Data analytics Subjects | Open Universities Australia

Course results for La Trobe University Undergraduate Data analytics Subjects

Need help choosing a course?