Both fields are in high demand, pay well, and lead to exciting, future-proof careers. If you're deciding between becoming a data scientist or an AI engineer, the choice often comes down to what ...

Since November 2022, it has become obvious that generative AI is going to impact most knowledge worker roles. An unexpected outcome was the disruption that GenAI has brought to the role of data ...

When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...

When “data scientist” was coined in the 1960s, the role focused on pattern recognition to extract insights from data. Today, the amount of data has grown so substantially that we developed more ...

Applied Analytics lecturer David Shilane examines how organizations move beyond analytics dashboards to embed data science ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

Environmental data scientists use computing and mathematics to develop sustainable solutions for environmental problems. Environmental data scientists balance and combine expertise from multiple ...

Often students feel confused about career choices and wonder whether they should study Web Development, Data Analytics or Machine Learning. Each field has its own importance, but it is better to ...