Data science is one of the best-suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it is no surprise that the demand for data scientists has been surging in the job marketplace.

However, supply has been minimal. Acquiring the skills necessary to be hired as a data scientist takes time and effort.

Universities have been slow at creating specialized data science programs. (not to mention that the existing ones are costly and time-consuming). Most online courses focus on a specific topic, and it isn’t easy to understand how the skill they teach fits into the picture. Solution Data science is a multidisciplinary field. It encompasses a wide range of topics, such as understanding the data science field and the type of analysis carried out, mathematics statistics, Python, applying advanced statistical techniques in Python, Data Visualization, Machine Learning and Deep Learning. Each of these topics builds on the previous ones. And you risk getting lost along the way if you don’t acquire these skills correctly. For example, one would struggle to apply Machine Learning techniques before understanding the underlying Mathematics. Or it can be overwhelming to study regression analysis in Python before knowing what a regression is.