Over the years, data science has become a fast-growing and attractive field for many. Organizations have witnessed first hand the challenges data science can solve, and the everyday processes it can streamline. Prospect 33 has partnered with our external team of mentors to create a solution for individuals seeking to jumpstart their career – the Bootcamp 33 Programme. Our Bootcamp 33 programme is designed for individuals who are seeking to begin their data science career in the financial services industry, but lack exposure and insight into it. Our programme aims to take individuals who have the data science knowledge and teach them about the financial services industry while giving them relevant project experience so that our clients can have them hit the ground running
Our programme begins with a virtual, immersive 2-Day Bootcamp. Participants in this Bootcamp have gone through a rigorous screening and interviewing process with our internal team, ensuring that they have the necessary skills to be successful. At the completion of the 2-Day Bootcamp, the top participants are invited to join Prospect 33’s 13-Week Bootcamp, the segway into the Future Leaders Programme. Once individuals have successfully completed our 13-Week Project Bootcamp, they graduate into our Future Leaders Programme, where they are equipped with the necessary skill set to meet your business needs and onboard as fast as possible.
On our 13-week program, participants are immersed into a virtual environment where they use open source data to design and deploy client and product master databases and perform tasks such as data cleansing and data quality checks, client and product relationship mapping, and news source aggregation to identify additional relationships, potential new clients, and potential risk among clients. Our program places a strong emphasis on learning the structure of an investment bank, project management styles, and various concepts surrounding data science including relational and non-relational databases, ETL/ELT, data warehousing and OLAP, data governance, data quality frameworks, master data management, and more.