Data Courses

The CompTIA Data+ certification is considered one of the best data analytics courses for entry-level learners, giving students a strong grasp of data analysis fundamentals. It is also vendor-neutral, meaning what you learn isn't tied t specific tools or platform but can be broadly applied. CompTIA, Azure (Microsoft), AWS, and Google are typically considered to offer the best data analysis training courses. 

You will generally need relevant qualifications in Excel, SQL, database management, and data modelling and storytelling to be a data analyst. You will likely need at least a couple of the industry-recognised data certifications to start a data analyst career at entry level, such as the CompTIA Data+ and the Microsoft Certified: Azure Data Fundamentals DP-900. Find out more in our dedicated guide to how to become a Data Analyst.

Absolutely. Gaining industry-recognised data analytics certifications will greatly increase your chance of landing a role in this field, and could even help you secure a higher starting salary. Data courses aren't easy - they take a lot of hard work. But they are achievable for anyone willing to put the work in, and this hard work will almost certainly pay off in terms of new job opportunities. 

Entry-level data courses are designed to be accessible, even if you're starting from scratch. While some topics like statistics or programming can seem challenging at first, most courses break down concepts step by step. With the right learning support and consistent practice, most students find they can build confidence quickly, even with no prior tech experience.

This depends on the course and your availability. Entry-level certifications like CompTIA Data+ can often be completed in 3 to 6 months with part-time study. More advanced data science courses may take longer. The flexibility of online learning means you can fit training around your schedule and progress at your own pace.