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09-04-2024, 10:40 PM
(This post was last modified: 09-04-2024, 10:42 PM by NotJoeBiden.)
(09-04-2024, 10:27 PM)xeon5 Wrote: (09-04-2024, 06:02 PM)NotJoeBiden Wrote: wtf is financial engineering?
It’s like regular engineering, but instead of bridges, they build complicated ways to make (or lose) money like crypto, call options, hedging, shorting, DeFi, etc.
This just sounds like data science.
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Joe
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Yes, that's exactly what it is, but data analytics or data science for the 'finance' sector...
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This firefighter must really be under a rock, because I've never even heard of "data science"... let alone finance engineering.
En ingles por favor ?
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09-23-2024, 09:56 PM
(This post was last modified: 09-23-2024, 09:58 PM by jg_nuy.)
With help from our GPT friends:
Bachelor’s Degree in Data Science
A bachelor's degree in Data Science combines mathematics, statistics, and computer science to equip students with the skills needed to analyze and interpret complex data. The curriculum typically includes courses in calculus, linear algebra, probability, programming (Python, R), data visualization, and machine learning, along with hands-on projects and internships to provide practical experience. The degree provides a foundation in data manipulation, exploratory data analysis, and big data technologies, preparing them for various roles in the growing field of data science.
Career in Data Science
A career in data science involves leveraging analytical and technical skills to interpret complex data and support data-driven decision-making in organizations. Key responsibilities include data collection and cleaning, exploratory data analysis, model development, and creating visualizations to communicate insights to stakeholders. Data scientists must possess strong programming, statistical knowledge, and problem-solving abilities, along with effective communication skills to collaborate with cross-functional teams. The demand for data science professionals is high across diverse industries, offering various career paths and opportunities for continuous learning and growth.
Some jobs - there are many others:
Data Scientist
Data Analyst
Machine Learning Engineer
Data Engineer
Business Intelligence Analyst
Data Architect
Research Scientist
Operations Analyst
Financial engineering is basically how to make rich people richer:
Financial engineers can work in various sectors, including:
Investment Banks: Developing financial products and risk management strategies.
Hedge Funds: Analyzing market trends and developing trading strategies.
Asset Management Firms: Optimizing investment portfolios and managing risk.
Insurance Companies: Assessing risks and pricing insurance products.
Consulting Firms: Providing expert advice on financial strategies and risk management.
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Yes, ChatGPT did a pretty good job, most people start off as Business Intelligence Analyst and work their way up. This is one of the reasons I got the ENEB Big Data/BI, just to get some extra gaps filled for knowledge, management, strategy, etc within that sector. For a free degree, it's a very good option for those who can get in, it's one that can't be accelerated though.
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So for someone who knows nothing but is pretty good at self-studying, would this degree be at all worth it? Or is it one of those where you have to already be working in the field for it to be worth anything?
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My ENEB ambassador/affiliate links: MBA + Masters or 2 Masters, & 1 Master's or 1 MBA.
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(10-30-2024, 09:00 PM)nykorn Wrote: So for someone who knows nothing but is pretty good at self-studying, would this degree be at all worth it? Or is it one of those where you have to already be working in the field for it to be worth anything?
What field do you want to work in? This is a very specialized degree thy isn’t well known.
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Joe
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