What you’ll discover. Learn about key concepts such as cloud computing, data visualisation data mining, and database administration along with foundational classes in mathematics, programming, and statistics at the start in your academic career. Through your course in the course of your study, you’ll take 10 courses that focus on data analytics as well as seven IT-related courses, and three core courses in maths and statistics.1 Learn more advanced topics such as data visualisation, artificial intelligence, machine learning as well as social media, text analytics, as well as predictive analytics. When you begin your program, you’ll learn the most important concepts in IT, maths, programming and statistics as well as the fundamentals of data analytics, before delving into specific courses in data analytics in the second year.1 With each swipe, click or swipe, share, or stream being created in a staggering rate every second and is altering how businesses operate.
At the close of your studies, you’ll be able to explore advanced topics such as artificial intelligence, machine learning as well as text and social media analytics data visualization and predictive analytics.1 Whatever industry you work in data can be utilized to improve digital marketing strategies, design innovative and novel items and solutions, forecast sales patterns for customers or boost productivity in areas like supply chain management and sales. As your capstone project you’ll work with an organization to solve a business issue and use your expertise to devise a strategy to solve a particular issue and provide a solution to the customer.1 The demand for analysts who can handle data is increasing yet there’s a gap that’s growing between the demands of organizations and the skills of applicants to meet these needs.
Cloud-hosted platforms and cloud-based solutions are incorporated into the latest analytics practices, it is essential to be equipped with the most current information.1 This UniSA Online data analytics degree can provide yourself with a robust knowledge base that makes you extremely competitive in the market. Find out more about Amazon Web Services (AWS) and the AWS Global Cloud Infrastructure, and other cloud-based services from Azure as well as Google Cloud.
What you’ll be able to learn.1 Learn through a hands-on, practical method to learn and download the most current software that professionals employ – at no cost. In the course of your studies during your degree, you’ll be studying 10 courses focused on data analytics including seven IT-focused courses as well as three basic courses in statistics and maths.1
Learn to master the most popular open-source statistical software like R. In the beginning of your studies, you’ll be taught fundamental concepts in IT, mathematics, programming, and statistics and the foundational topics of data analytics. Learn the R language. You’ll then dive into specialised courses in data analytics during your second year.1 Explore data visualization software like Tableau and more advanced data platforms like the Snowflake Data Cloud, as well as various other tools and methods to collect data and clean it.
As you near the conclusion of your studies you’ll study advanced topics like artificial intelligence, machine learning and text as well as analysis of social media, visualisation of data as well as predictive analytics.1 When you graduate you’ll not only acquire analytical skills in data science. In your capstone assignment, you’ll collaborate with an enterprise in tackling a real-world business challenge by using your knowledge to come up with a plan to address a specific issue and present a solution for the customer.1 You’ll acquire solid communication skills that enable you to communicate clear concepts and crucial business decisions to technical and non-technical employees at all levels of an organization.
As cloud-hosted platforms , cloud-hosted services and cloud-based solutions are becoming a part of contemporary analytics plans, you need to have the most up-to date information.1 Hours of study. Learn more about Amazon Web Services (AWS) and the AWS Global Cloud Infrastructure, along with other cloud service offerings offered by Azure along with Google Cloud. Learning entirely online means that you can access the course material in your individual way, when it is convenient for you.1 Use a practical, hands-on approach to learning , and download the latest software that experts utilize – free of charge.
There is no requirement to be on the internet at a specific time. Develop proficiency in using widely used open-source statistics programs like and the R language. It’s flexible to fit into your schedule and allows you to manage your schedule for studying week by week.1 Learn about data visualization tools like Tableau and data platforms with advanced features like The Snowflake Data Cloud, as well as various other techniques and tools for data collection and cleaning. In general we suggest between 10 and 15 hours of studying per week for each class. As a student you’ll not just acquire the technical skills required to use data analytics.1
Assessment. You’ll also develop excellent communication skills that help you communicate clearly ideas and critical business decision-making to technical as well as non-technical stakeholder at every level of an organization. All tests, assessments and exams (if necessary) are completely online, which means you won’t have to travel to complete an assignment or locate the exam location.1 Hours of study. Your assessments could comprise: The fact that you can study completely online means that you are able to engage in content according to your pace and at any time you want to – there is no requirement to be on the internet at a certain time.
An industry-relevant project that is available online presentation essay and report.1 It’s flexible with your lifestyle which means you can manage your studying schedule week after week. Please note that courses will not be presented in the order of study.