Data science: building the right foundation for beginners

A course dedicated to introducing data science & analytics concepts in the easiest, most practical way possible. The course accounts for the fact that Data science is a multi-disciplinary field that requires computing, programming, and statistical knowledge. Good computing skills mean the data analyst is able to efficiently manage the computer resources, navigate the different types of software(and hardware) and troubleshoot any issues as fast as possible. On the other hand, statistics help the data analyst understand the mathematical meaning and implications of the analysis results so that actionable insights can be developed rather than producing misleading conclusions. Lastly, good programming skills in at least 2 programming languages are key, because not always data analysts will have access to analysis tools with fancy graphical interfaces, not to mention that increasingly more complex analyses require customized code scripts to build them up. As a senior consultant in real retina analytics and a long-time educator in the field of data science, I know exactly what skills are required to succeed in this field and I know what new professionals entering the field might struggle with. Therefore, the various videos in this course are created and ordered in such a way that introduces the right foundational concepts at the right time so that more advanced concepts discussed after that are way more digestible.