Mohammed Ali (DSTI Alumni 2017), is the co-founder of Dainanahan, a research group specialised in the field of drug discovery, to build a group of computational tools that would aid drug researchers and pharmaceutical in their work. These tools are to include exploratory data analysis and data mining facilities as well as predictive analytics. Mohammed has also created a Mo Stock Analysis and Recommendation Tools (MoSART), which is acollection of stock analysis tools so trader can make a decision about certain stock. In this interview, he talks to us about his experience as an online student.
Why did you choose to study data science at DSTI?
I was looking for an opportunity to continue my learning to achieve my professional goals in data science and machine learning. The institute was the lighthouse to guide me among darkness to my future.
Describe your experience as an online student.
Being an online student did not feel any difference to me from being on campus as. In fact, we attended the same lectures at the same time and had the same educational experience together. We knew each other and there are also different facilities to aid online students remotely in labs.
What were the biggest takeaways from the programme?
I enjoyed the modules such as Agent Based Modelling, SAS, AWS – they were all great in contents and teachers. This inspired us all. Moreover, sometimes we received condensed courses and it had to be handled differently by teachers like in the Statistics and Algorithms classes.
How would you describe DSTI?
Students in the same cohort value collaborative learning which encourages everyone, from different backgrounds, to work together. Furthermore, most courses include great content and heavy projects, which is good to develop solid skills.