You don’t have to spend a fortune and study for years to start working with big data, analytics, and artificial intelligence. Demand for “armchair data scientists” – those without formal qualifications in the subject but with the skills and knowledge to analyze data in their everyday work, is predicted to outstrip demand for traditionally qualified data scientists in the coming years.
This means that practically anyone can upgrade their employability and career prospects by learning the fundamental theory and practical skills needed for data science. And luckily, there’s a ton of resources online to help you do just that.
Here’s Bernard Marr’s overview of some of the best. Some of these might require payment at the end of the course if you want official certification or accreditation of completing the course, but the learning material is freely available to anyone who wants to level up their data knowledge and skills.
Important Note
Content Editors rate, curate and regularly update what we believe are the top 11% of all AI resource and good practice examples and is why our content is rated from 90% to 100%. Content rated less than 90% is excluded from this site. All inclusions are vetted by experienced professionals with graduate level data science degrees.
In the broadest sense, any inclusion of content on this site is not an endorsement or recommendation of any service, product or content that may be discussed, recommended, endorsed or affiliated with the content, company or spokesperson. We are a 501(c)3 nonprofit and receive no website advertising monies or direct or indirect compensation for any content or other information on any of our websites. For more information, visit our TOS.
