12 Best Data Analytics Courses Online

You can earn a Bachelor of Data Science or equivalent degree. Typically, data majors are available in undergraduate computer science or IT programs.

Gain important core skills to set up your career. Almost every analyst and data scientist has a bachelor degree of some kind, usually in a technology field. Most programs are flexible and allow you to adjust your study direction from year to year. You can also combine disciplines.

Learn how to harness the potential of AI with a Graduate Certificate in Artificial Intelligence Management. Knowing when and how to solve a business problem using AI starts with understanding data analysis. You can then deploy machine learning to generate artificial intelligence.

A graduate certificate course could provide early mover advantages for managers with technical aptitude. You'll be able to grasp AI opportunities that competitors may overlook or struggle to implement.

The Graduate Certificate in Business Analytics is a postgraduate course to develop analytical skills. Learn to use data and technology to understand what happened, why it happened, and what to do next. The program has four subjects to meet learning goals.

Graduates are able to synthesise data, perform descriptive, predictive, and prescriptive analytics, and use data to recommend business solutions. Jobs include business analyst, data analyst, HR analyst, market analyst, and digital marketing analyst.

The Graduate Certificate in Data Analytics is versatile, offering foundation studies in data analysis or advanced training in chosen subjects. Participants also gain entry into masters programs. It is a nationally recognised form of data analytics certification for Australia.

This data analyst course is typically open to graduates (any bachelor degree) or professionals with relevant experience. You need strong math ability to do well.

The data science graduate certificate is often a pathway course. Significant further training should follow to develop the advanced analytical skills that data science requires.

To be admitted, you need a relevant technology or business degree or, alternatively, professional experience as a data analyst or data scientist.

Halfway in duration between a graduate certificate and masters, the Graduate Diploma in Analytics may be just the right course for you. Consisting of 8 subjects, you can finish a graduate diploma over 16 months of part-time study.

An advantage of this type of program is that you can take a deep dive exclusively into the topics that interest you. Skip those subjects from the master's degree that you feel carry least value for you. Specialise in data analytics, business analytics, or a combination of disciplines.

A cool late-stage application of data analytics is to produce artificial intelligence or AI. You can learn when and how to generate AI with a Masters in AI Management program.

An AI management program is a technology course with low to moderate technical content. You should have analytics aptitude and be willing to dive into technical content as required. But, ultimately, you're developing an ability to initiate and manage AI projects.

A masters degree in analytics allows you to develop the breadth of skills required to excel as a data analyst. It's a great way to extend your capabilities and always be in high demand.

Masters degrees go by different titles, including Master of Analytics, Master of Business Analytics, and Master of Data Analytics. Most programs are 12 subjects long but also allow you to start (and potentially finish) with a 4-subject graduate certificate course.

A Masters in Business Analysis is a data analysis program that you can expect to be free of the heavy programming you might find in a data science course. As well, there should be ample opportunity to learn how to apply data analytics to decision-making in business.

Demand for business analysts is high across Australian industries, with companies wanting to exploit burgeoning volumes of commercial data.

A master's degree in data science is a powerful way to start or boost a career in the boom field of big data. Students gain better foundation training than the majority of current data scientists.

Career opportunities abound for people with the maths and coding talent to generate business value from information assets. An IT background is highly advantageous for postgraduate courses.

Marketing is fertile field for data analysis. You can use analytics to help find potential customers, quantify the effectiveness of marketing campaigns, adapt your messaging based on customer responses, and so forth.

With marketing being a vital business function, demand is high for marketing analytics professionals. You can develop and demonstrate your ability to interpret data with a Masters in Marketing Analytics.

One of the least technical master's degrees in the field is an MBA in Business Analytics. The course develops your management and leadership skills while imparting knowledge for working with data.

Managers need data analysis skills if for no other reason than to better interpret analytics presented to them. But there is also the potential to commission, lead or supervise data-orientated projects. A Business Analytics MBA is highly relevant given the growing significance of analytics in decision making.