From the course: The Data Science Playbook for Private Equity and Venture Capital

What you should know for this course

From the course: The Data Science Playbook for Private Equity and Venture Capital

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What you should know for this course

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- [Narrator] A critical question you might be asking is, what do I need to know, or do to get the most out of this course? And that's a great question. It's important to start with the basics of what you need to do to get value out of this course, and what you need to do is be engaged. Not just listen to the videos, but do the exercises. Do the practice quizzes. Think actively about the material and how it relates to your work now, or can relate to your work in the future. Make sure that you're actively trying to learn as much as possible from the materials. I know it's easy to just watch a video and feel like you've learned the information and move on, but trust me, you'll get a lot more out of this by actually doing the exercises and the quizzes. Now, back to that critical question. What should you know well before taking this course? The truth is, those taking this course can range from those actively working for a private equity firm, or a venture capital firm, so that you have the experience of having a portfolio of companies, and of understanding their challenges, and some of their strengths too. You might be working for a single company and have some understanding of that company's challenges and strengths, and you can leverage that information. Or you are a data scientist, interested in learning about the data science needs of the private equity and venture capital industry, or you're a student, and you don't have a lot of experience working at companies. If you're a student with limited experience, then you can still take this course, but you have to empathize. You'll have to think about, what are the specific challenges and opportunities. Either way, you can get value out of this class. Let's talk specifically about what you don't need. You don't need to be a programmer. You don't need to have advanced Python, or other programming skills in order to get value out of the course. You don't need to be running a portfolio of companies to get value out of the course. You don't need to be actively engaged with the data science team right now to get value out of the course. Again, what you need to do is make sure you're engaged in learning.

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