By Kayla Matthews, Productivity BytesWhen people want to launch data science careers but havent made the first move, theyre in a scenario thats understandably daunting and full of uncertainty.However, when they follow mapped-out processes that help them get into the field, success becomes easier to visualize and achieve..For example, people who pursue data analytics majors at Ohio State University can choose from one of five specializations, ranging from business analytics to biomedical informatics.Outside of academia, its necessary for people to think about how they could beef up their skills to increase the chances of working in certain data science roles..By taking that approach, theyd be equipped to help employers uncover patterns that ultimately drive business decisions.Looking into data science specializations is essential when people are in the early stages of their data science careers..Then, people could find out that although theyve worked hard to reach their goals, they still lack necessary skills or are not prepared to relocate even though there are not many data science jobs available near them. Theres no reason for people to hold off on getting engaged in data science programs until they receive a formal education..Those possibilities let individuals begin getting hands-on experience without investing in expensive tools or training. Many people who want to work as data scientists are already in other careers when they make that decision.. By the time they reach this step in the process, people getting set for their data science careers should have real-world experience through independent data science projects, and they may have opted for formal training.. More details