Data, Analytics and AI courses

What is data analytics?

Data analytics (DA) is the process of examining datasets in order to find trends and draw conclusions about the information they contain. This information can include financial data, internal team performance, customer usage, and more. During your data analytics training, you will learn theory and strategy as well as how to perform DA with the aid of specialised systems and software.

Lumify Work's data analytics and big data courses in Australia, New Zealand and the Philippines provide knowledge and practice in the theories and tools used for processing and making sense of the data.

What is the typical data analytics course coverage?

Foundational courses typically provide both a basic understanding of data analytics and a rundown of the tools you can use to create basic reports. To give you a better idea, you can find some examples of our data and analytics courses for beginners.

Our one-day Python for Data Analysis - Beginner course focuses on the fundamentals, introduces Anaconda and JupyterLab, and the basics of Python syntax.

For a more advanced course in data and analytics, we suggest Advanced Data Modelling and Shaping with Power BI. The course covers how to create a great data model to meet your business needs, and Power BI features to enhance data models so you can build great reports.

Are data analytics courses difficult?

This is a question we often get asked along with "Can I become a data analyst in three months?", "Do data analytics courses require coding?" and "Is it maths-heavy?".

Based on the experiences of our trainers and our students, data and analytics courses are not particularly tough, as they are not highly academic. They cover a combination of learning experiences, including the tools themselves, practical communication, and how to apply both to different use cases within organisations. This is where the courses come in, providing instructor-led training, hands-on experience, practical exercises, and additional resources.

It is possible to learn data analytics in three months, but honing your skills by continuously working on projects and interacting with a community of data analytics experts is key. You can study our data analytics courses in Australia, New Zealand or the Philippines. During the course, you can expand your network and get insights from other students.

Data and analytics courses generally do not require previous coding experience. Having a basic knowledge of programming languages will help, but in-depth knowledge is not a prerequisite for some data and analytics training courses.

Data analysts are often good with numbers and have a foundational knowledge of mathematics and statistics. However, people have successfully attended data and analytics courses, and gained certifications, without in-depth mathematical knowledge . What is required is a passion for analysis and logic. Much of data analysis and using data analytics tools is about following a series of logical steps to collect, process, present, and monitor data.

How long does it take to learn data analytics?

Data and analytics courses vary in technicality and can be easier to grasp for those with prior expertise. Proficient students may learn in three months what a beginner will need six months to grasp, such as manipulating data using Excel, applying basic statistical concepts, and inputting queries to databases.

Much of the learning time associated with data and analytics training relies on practical experience with tools such as Power BI or Tableau. Those at an intermediate stage often spend another six to twelve months using these tools to analyse real-world datasets and practice techniques such as regression analysis, clustering, and forecasting.

Advanced roles often require several years of training or a further data analytics qualification. During this time, concepts to focus on include big data processing and predictive modelling.

Do data analytics courses require Python?

We encourage those who take our courses on data and analytics to also take up Python. It is preferred by data scientists who need to perform data analysis and whose tasks must be integrated with web applications or production environments.

What is Python? It is a support language often used by software developers for build control and management, testing, and more. It is typically used to develop websites and software, automate tasks, and analyse and visualise data. It is relatively easy to learn and has been adopted by many non-programmers, such as accountants, data analysts, and scientists, for day-to-day tasks like organising finances and reports.

Lumify Work offers introductory, master, and advanced online Python courses online or at one of our campuses in Australia, New Zealand, and the Philippines.