The leap from data analyst to data scientist is a natural progression for many professionals in the data field. While both roles involve working with data to extract insights, data scientists often engage in more complex analyses and model building, incorporating advanced statistical techniques and machine learning. If you're a data analyst looking to advance your career into a data science role, this guide will provide a clear road-map to help you make this transition.

The outlook for data science jobs continues to be highly positive. In 2020, IBM forecasted an anticipated 2.7 million available positions within the field of data science and related professions. Furthermore, they projected a substantial 39% increase in employer demand for individuals specializing in roles such as data scientists and data engineers.

Did you know that a third of life is spent in the workplace? That is why you need a unique set of social skills that will help you get ahead in that short amount of time, and it is our mission to ensure that we equip you with the ability to do that successfully.

While hard skills will get you into the door, soft skills keep you in the building enabling you to work well with other team members. With soft skills, you are best placed to position and propel your career growth forward into a world of endless opportunities.

A degree or a technical skill is not enough to get you ahead anymore. The job market is saturated with experts in each field like you and me. However, the only way that you can set yourself apart from the next knowledgeable specialist in your line of work is through soft skills.

In line with Moringa School’s commitment to nurturing African tech talent, the institution partnered with I&M Bank LTD in organizing an exciting hackathon where its alumni participated. A fintech solution developed by one of the alumni teams during the just concluded Sankalp Africa Summit 2022 won a Sh50,000 cash prize courtesy of I&M Bank LTD. […]