A free data analytics course is an excellent approach to determine if you want to take a deeper dive into the field. However, there are several significant distinctions between free courses and paid courses that you should be aware of. Level of detail A free course's main goal is to provide students with a thorough introduction so they may decide whether or not to pay for the entire program. Short courses are ideal for acquiring a broad overview of the topic. A complete curriculum, or at least a decent one, will provide you with all the tools you need to pursue a career in data analytics. Course duration Again, free online data analytics courses are typically (though not always) significantly shorter as they are intended to be more of a "teaser trailer." They typically require learning time that ranges from hours to days. Anything more than that enters the realm of paid programs. Degree of support Self-guided learning is an important aspect of free courses. Full data analytics programs, on the other hand, typically provide guided support in the form of a tutor or mentor as well as assistance with job searching, such as assistance with creating a data analyst resume and data portfolio. Some for-profit training programs and boot camps even guarantee employment. Level of knowledge Those with no prior knowledge typically benefit from free data analytics courses. But you'll need to do a little more studying once you're prepared to upskill! Paid courses can be more difficult, but once you've finished one, you'll be equipped with all the knowledge and abilities required to call yourself a certified data analyst, and you cannot obtain that from a free course.