What you’ll discover. Employers are looking for individuals who can convert massive amounts in data to streams of relevant data to make better informed choices, improve business performance and improve their competitive edge. 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 After extensive consultation with the industry We’ve developed an online, 100%-online Data Analytics degree program that focuses on the newest trends in data as well as the most current developments in the field . 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 This will make sure you graduate with highly relevant skill set that allow you to join the industry as a first-timer, or get a better job.
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 Data analytics courses cover the complete life cycle of data. 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. This includes the major steps that define how data is gathered, created to be processed, used and analysed to reach the goals of business.1 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.
Explore the various analytical methods as well as tools, processes and techniques utilized for data analysis. 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.1 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. Learn through a hands-on, practical method to learn and download the most current software that professionals employ – at no cost.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. Learn to master the most popular open-source statistical software like R. With each swipe, click or swipe, share, or stream being created in a staggering rate every second and is altering how businesses operate.1 Learn the R language. 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.
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.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. When you graduate you’ll not only acquire analytical skills in data science. This UniSA Online data analytics degree can provide yourself with a robust knowledge base that makes you extremely competitive in the market.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. What you’ll be able to learn. Hours of study.
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 Learning entirely online means that you can access the course material in your individual way, when it is convenient for you. 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. There is no requirement to be on the internet at a specific time.1 You’ll then dive into specialised courses in data analytics during your second year.
It’s flexible to fit into your schedule and allows you to manage your schedule for studying week by week. 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 In general we suggest between 10 and 15 hours of studying per week for each class. 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 Assessment. 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.
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 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. Your assessments could comprise: Use a practical, hands-on approach to learning , and download the latest software that experts utilize – free of charge.1 An industry-relevant project that is available online presentation essay and report.
Develop proficiency in using widely used open-source statistics programs like and the R language. Please note that courses will not be presented in the order of study. 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.1 Rules.
As a student you’ll not just acquire the technical skills required to use data analytics. Click here to view the entire UniSA Online electives list. 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. 1.1 Hours of study. The requirements for assessment for this level include at minimum one online test. 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.1 The exam software online has specific requirements for compatibility with the system, including that hybrid devices, tablets and mobile devices aren’t compatible with the software.
It’s flexible with your lifestyle which means you can manage your studying schedule week after week. Check the requirements for online exams prior to taking your exam to make sure your computer and exam software are compatible to take the test.1 As a rule of thumb we suggest 10-15 hours of work a week for every course.
Notes. Assessment. 1. All assessments, including tests (if needed) are entirely online, so you don’t require a trip to the airport to submit your assignment or to find an exam location.
Students who choose electives can choose any course from the UniSA Online electives list, dependent on the pre-requisite conditions and the availability.1 A few of your evaluations could comprise: 2. A relevant project for the industry, online report and presentation essays. This course is suitable for students who are just beginning their university or who require improvement in research and academic skills.