Got a question? Call 1800 515 110

Certified Data Science Professional

3 - 5 months
12th October 2022
100% online learning
Azure Data Fundamentals, Azure Fundamentals, AI Fundamentals, Data Science Associate

Course overview

Our Certified Data Science Professional course will prepare you for a career in this rapidly growing industry. In this interactive online course, you will be guided by experts in the field who will mentor you through the entire process, and you have the added advantage of taking the course content at your own pace.

This data science course includes four Azure certifications from Microsoft – advancing through these, one by one, will build your knowledge of the core concepts of data science, and how they can be applied to the Microsoft Azure environment.

The benefits of completing AIICT's Certified Data Science Professional Course

Our Certified Data Science Professional course will prepare you for a career in this rapidly growing industry. In this interactive online course, you will be guided by experts in the field who will mentor you through the entire process, and you have the added advantage of taking the course content at your own pace. The course includes four Azure certifications from Microsoft – advancing through these, one by one, will build your knowledge of the core concepts of data science, and how they can be applied to the Microsoft Azure environment.

The benefits of completing the Data Science Professional Certified course:

Flexible Study

Start together, finish whenever: start your study at the same time, then move through the course at your own pace.

Mentorship with industry experts

Connect with our carefully selected group of experts in the field, whose role is to mentor you through your course.

Multi-platform learning environments

Access a variety of tailored learning experiences, such as video content, quizzes, eBooks, practical activities, expert-led webinars, podcasts, Live Chat, networking, and research.



Industry Partner Program

On course completion, we’ll connect you with potential employers via our Industry Partner Program.

Course Structure

Certified Data Science Professional
3 - 5 months
100% online learning
Azure Data Fundamentals, Azure Fundamentals, AI Fundamentals, Data Science Associate

This course will provide foundational knowledge on cloud concepts; core Azure services; security, privacy, compliance and trust; and Azure pricing and support.

In this online data science course, you will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build your foundational knowledge of cloud data services within Microsoft Azure.

This course introduces fundamentals concepts related to AI, and the services in Microsoft Azure that can be used to create AI solutions.

With this online course, you will learn how to use Azure services to develop, train, and deploy machine learning solutions.

Microsoft Learn Content

  • Open Source Software (SQL, Python, R)

  • Job-ready personal development skills

  • Hands-on labs available to practice your skills



Industry partner program

AIICT Industry Partner Program is designed to provide you with the tools you need to launch a fulfilling and well-paid IT career.

By enrolling in the course, you will be eligible to take part in the Industry Partner Program, where we connect you with those recruiting for front-line roles in the market.

Learn more

Career opportunities

Enrolment information

The course requires no prerequisites; even if you are brand new to IT, with the right attitude and appetite to learn, you will be able to join the course.

You will begin your study in a cohort with your fellow students – from there, you will have twelve months to complete the course, entirely at your own pace.

Tech Requirements

While there are no prerequisites for the course, you will need to have access to a laptop or desktop computer with a reliable internet connection.

AIICT accepts no responsibility for personal electronic devices that are utilised for the course and undertakes no responsibility to investigate their damage.

Exams

The course includes four exams across four certifications that need to be undertaken in-person at a testing centre near you, or in an online proctored environment. Exam fees are included in the cost of the course.

AIICT provides you with exam vouchers in order to register for these exams.



What happens next?

A course advisor will call to chat about your course and set up a time for you to get started

You will then be invited to complete the Student Enrolment process which includes a Pre-Enrolment Profile

Once your enrolment process has been submitted, your course advisor will contact you

If all your documentation is in order, you will then be invited to attend an online orientation

Payment information

Upfront Payment

Pay a once-off $5,112 fee.
The Full Fee includes a 10% discount - a saving of $568.

Fortnightly Payment Plan

Pay 18 fortnightly payments of $315.56 for the duration of the course.

Monthly Payment Plan

Pay 8 monthly payments of $710 for the duration of the course.

ZipMoney: Study now, Pay later

Pay 12 or 18 monthly payments
Course total $5,680 + ZipMoney fees

For more information about ZipMoney CLICK HERE

FAQs

Data refers to the information we produce through computer systems; from text, multimedia, and programs we create, to our communications and transactions via social media and online services. Artificial intelligence is the development of “smart” machines that, through the use of data, are able to mimic human-like tasks and behaviour. Such technology is gaining widespread use in the impending age of automation, where AI systems are increasingly adopted to handle menial, repetitive business processes.

The two hold a symbiotic relationship, in which data science tactics are used to bolster development of AI technologies, while AI technologies are used to improve the processes of data science and analysis. Those working in the latter field are typically termed as “data scientists”, who spend much of their time cleaning and extracting valuable insights from both structured and unstructured datasets. Those working in the former field are generally considered “AI specialists” or AI developers, focused on the programming and science behind crafting “intelligent” code or machinery.

Being highly technical, complex tech fields, those looking to enter the data and AI industry are recommended to pursue formal training in either area. You’re more likely to gain employer attention with recognised certifications under your belt, along with a strong portfolio of your previous experience.

Those in data science are often encouraged to specialise. Though your skills are applicable to any field, employers will typically seek out industry-specific experience, making it critical to hone your skills in your preferred sector. As mentioned, having at least a basic concept of machine learning and AI can help boost your employment value in the field.

Those in AI are required to build their knowledge deep learning, neural networks, and machine learning to start exploring entry-level opportunities in the job or internship market. Of course, a fundamental understanding of big data and data analytics can help broaden your horizons.

On top of formal education, aspiring data and AI experts are also encouraged to expand their skills through personal practice. Plenty of online communities exist to help you learn from and collaborate with other like-minded professionals, these including Stack Overflow, Kaggle, and Dataquest for those in data science; and GitHub, Global AI Community, and r/machine learning (Reddit) for those into AI.

Data and AI professionals require high levels of both technical and non-technical skills.

Those in either field need a strong grasp of various programming languages, including (but not limited to) Python, SQL, Java, R, and C++. A strong knowledge of analytical tools is also necessary for data scientists, these including software such as SAS, Hadoop, Pig, Hive, and Spark. Artificial intelligence experts are expected to have an advanced knowledge of machine learning and deep learning, along with a close familiarity of programming frameworks such as TensorFlow, NumPy, and SciPy. Plenty of these technical skills may overlap between fields, helping you flexibly find work within either sector – though having experience in both areas can help bolster your opportunities on the job market.

Both professions require expertise in mathematics (i.e. algebra, statistics, probability), and excellent skills in communication, business planning, analytical thinking.

Talk to an advisor

Request a callback from one of our advisors to ask questions or discuss about your study options.

100% online learning

Our industry-leading ICT courses and web-based learning environment are available to you 24/7.

Payment plans available

With our simple payment plans, you only pay for what you study, making it simple and affordable to study ICT.

Support every step of the way

Our team will make sure you finish what you start, with support from ICT instructors and staff at every step.