How to switch from Financial and Investment Analysts to Data Scientists
Based on real labor market data. See the skills you already have, what you need to learn, and how to bridge the gap.
From
Financial and Investment Analysts
Conduct quantitative analyses of information involving investment programs or financial data of public or private institutions, including valuation of businesses.
To
Data Scientists
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
Tools you can carry over
Technologies the Data Scientists role uses that you likely already know from Financial and Investment Analysts work.
Tools to pick up
The technologies most specific to the Data Scientists role that a Financial and Investment Analysts background usually does not cover yet.
Frequently asked questions
Can I switch from Financial and Investment Analysts to Data Scientists?
Yes. The readiness check maps your specific skills against the Data Scientists role and builds a plan for the gaps, even where we don't yet have a broad knowledge-area comparison for this pairing.
What do I need to learn to become a Data Scientists?
Coming from Financial and Investment Analysts, the tools most specific to the Data Scientists role are Amazon Elastic Compute Cloud EC2, Amazon Redshift, Amazon Web Services AWS software, PyTorch, BigQuery. The readiness check compares your own skills against the role and shows the exact gaps to close.
How long does it take to transition from Financial and Investment Analysts to Data Scientists?
It depends on your current skills. Acelro builds a personalized roadmap around your specific gaps, so you only learn what you need.