By 2025, the annual revenue from data generation is set to reach USD 68 billion, with 181 zettabytes of data being created, according to Statista. To put that into perspective, that is 181 BILLION terabytes of data.

Blog Image - The best data analytics courses and what you can expect to learn from them

The challenge is to turn data into information and then into knowledge. And this is where data scientists and analysts come in to provide in-depth reports.

It's no wonder these roles are in high demand, and in conjunction with that, programs to develop data analytics skills. New Zealand needs more experienced data analysts, as reported on Careers.Govt.NZ.

And for key performance indicators within end-user teams, everyone in the organisation can create dashboards using tools like Power BI.

Upskilling in data analytics empowers teams to turn data into knowledge. So, in training lies the key to completing that data transformation.

What do you learn in data analytics courses?

Data analytics courses guide individuals through data analysis techniques, statistical methods and tools used to derive and communicate insights from data. If you're exploring short courses in data analytics for yourself or your team, here's what you can expect to learn.

Blog Image - The best data analytics courses and what you can expect to learn from them - Dashboard ANZ

  • Data handling and analysis: Learn techniques for cleaning, transforming and manipulating data to make sure the data is suited for analysis. Work with different types of data (structured and unstructured). You will gain experience using Microsoft Excel, Power BI, Google Looker Studio, and Google Cloud and programming languages like SQL, Python, or R.

  • Statistical analysis: Understand and apply statistical concepts and methods used in data analytics, such as hypothesis testing, regression analysis, clustering, and time series analysis.

  • Data visualisation: You'll learn how to present data visually with charts, graphs and dashboards effectively. Data visualisation helps communicate insights to stakeholders in a clear and actionable manner.

  • Machine learning and predictive modelling: Data analytics courses often introduce machine learning algorithms and predictive modelling techniques. Learn how to build models to predict or classify data based on patterns and historical information.

  • Data mining and pattern recognition: Data Courses may teach students techniques for discovering hidden patterns, trends and relationships in large datasets.

  • Big data analytics: Courses may include topics on what big data is and how to process and analyse it with help from technologies like Hadoop, Apache Spark, or cloud-based platforms.

  • Business and decision analytics: There is a big emphasis on applying analytics in a business context. Learn how to identify business problems, develop analytical approaches, and make data-driven decisions that drive value and improve organisational performance.

  • Ethical considerations and privacy: With the growing scale of cyber security breaches, data analytics courses may also teach students about data privacy, information security and the ethical implications of data analytics.

  • Preparing for certifications: Find data analytics certification courses that prepare you for certifications. Lumify Work is a partner of leading technology vendors like Microsoft, AWS and Google. Most courses lead to certifications, and all courses provide a digital badge to validate completion.

  • Hands-on labs: Effective data analytics courses incorporate the practical application of concepts through hands-on exercises, case studies, or real-world projects. Lumify Work courses offer hands-on exercises that let you apply what you learn.

  • Group exercises: Most Lumify Work courses are instructor-led, with opportunities to engage and collaborate with peers. Bootcamps see you doing self-study and meeting up with classmates and instructors. Self-paced courses are available too. Read a learner story about getting the message across with Power BI training here.

Authorised data analytics courses equip individuals with the skills to effectively work with data and support decision-making in various domains.

What are the best available online data analytics courses?

We share some of the best beginner-level data analytics courses that you can book and sit remotely from any of our campuses in New Zealand - Auckland, Wellington or Christchurch. Once you have the fundamentals down, you can follow through with intermediate and advanced data analytics training.

Blog Image - The best data analytics courses and what you can expect to learn from them - Training ANZ

Gain a fundamental understanding of the tools. Learn how to use the Power BI tools by following a simple workflow to design, develop, deploy, and share Power BI reports and dashboards.

Python for Data Analysis - Beginner
Get an introduction to Anaconda and JupyterLab and the basics of Python syntax. Learn how to work with objects in Python, access and manipulate data frames, use functions and methods and create basic visualisations.

R Programming for Data Analysis - Beginner
The first in our series of R courses provides an overview of the basics and introduces some of the functions and packages for working with data.

Google Cloud Big Data and Machine Learning Fundamentals
This one-day course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle.

Practical Data Science with Amazon SageMaker
Learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course walks through the stages of a typical data science process for Machine Learning, from analysing and visualising a dataset to preparing the data and feature engineering.

Find the right data analytics course with Lumify Work

The team at Lumify Work can help you find the right Data Analytics course in New Zealand based on your learning preferences and goals. We will help you determine delivery options like self-paced data analytics courses, instructor-led, or bootcamp-style.

Goals may relate to advancing your professional career or gearing up for a project. Understanding your objectives will determine your learning pathways and if learning specific programming languages or technologies is necessary.

Contact us to enquire about Data Analytics, AI & ML courses. Learn about Data Analytics trends and training options when you download our eBook.

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