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Want to quickly commend you for the consistency and quality of your content. I don't usually comment - but from helping me with my UChicago application (where I will be attending next year :D) to now supporting me in identifying my future career (I am very interested in data science), I am grateful to you for all your work. Thanks!
Wow I appreciate your comment so much!! My goal with the channel was always to help/relay information wherever I can, so this means a lot to me. Congratulations on UChicago - you're going to have a wonderful 4 years! 😁
A scientist who works in data science has been a godsend. Finding a job has been difficult in the wake of my graduation and several unsuccessful job applications. After weighing my options, I chose to leave physics and hunt for a position in data science. Before seeing your videos, I was baffled as to why I continued being turned down for jobs despite having two master's degrees, one in physics and the other in applied physics. Now that I've seen some of your vids, I understand why. Glad I found your channel on RU-vid:)
if you picked your classes correctly, to the extent of your curriculum, a masters in physics is quite the decent background to jump into DS. with knowledge in algorithms/data structures, high level statistics, python - which will be covered in most statistical mechanics classes especially the applied ones plus some computational physics and extra classes in sql(i could take up to 30 credits in any other STEM field so i choose sql/R/cs courses) you cover most of the basics needed. if you manage to get your thesis supervised by someone working with ML you can learn enough about applied ml to get thru most entry level interviews.
Hi Priya- thank you for this video. I am concluding my last year as a student receiving my BS in data analytics. And I have so many questions that are causing me anxiety. As I am nearing the end of my journey I have realized that the path in computer science ( DS/DA) is not structured like one probably imagined it would be. What I am wondering is if you encountered the same during your journey in terms of learning these program tools (Python, SQL, tableau, R,) if what’s important while in school is getting a basic understanding of these tools and how to use them, but the real challenge starts after graduating, in teaching yourself on how to use these tools more effectively to actually be able to draw meaningful insights ? Did you have to hone your skills a bit more once you graduated before you started to apply to jobs? I have beginner level on all these programs right now but I feel like I probably won’t be able to land a job in data analytics until I’m at least intermediate in SQL and at least Python, for starters. I would appreciate your feedback, and would also love to connect with you offline to chat if possible. Congratulations again on your journey and your role in data science.
10:00 this is an extremely hard coding task. It deals with a custom data-type, implies the iteration and verification of the end. I wasted 40 minutes and didn't resolve it, all the solutions I have found, include flattering with a separate method, than iterating and len() verification. And the task is formalized in a way, that next() and hasNext() methods should be enough to do the flattening (which is again more difficult). I am not sure if it is a suitable task for a middle software developer in a fortune-500 company coding interview. Comparing this with the "explanation of the gradient descend" is like chalk and cheese.
Data science has not been easy to break into because of how many people from different academic/professional backgrounds who are pursuing these roles compared to the number of data scientists who are actually needed. Really appreciate videos like this to provide insight for people looking to get started!
I don't think the Gradient Descent question is that weird. If you think of the multivariate loss function as a surface, the Gradient as the direction in wich a ball would roll, you could literally explain the optimizer Adam ("adaptive moment estimation") with the momentum of the ball and why the ball don't stop in a local minima and can reach the global minima. I think it's a great question! Edit: The direction is the negative of the gradient.
Hey that was quite informative.Also can you please explain how do you approach a particular business problem for its solution and implement data science techniques to drive profit for it....Also if there would be specific videos for various domains like Supply chain,finance,banking, healthcare and whichever you would like to mention that would be great..
just start my datacamp journey, thank you for this helpful insight, I have one question, how do you know that some company just using you for their free project while they actually don't want to hire anyone.
I have 5 years of experience in my mechanical engineering field as a production planning and design engineer, now I want a master's degree in data in Canada. It's going for my data after data master's in data science I will get a job or not according to your experience?
Great question! I think that communication skills are vital throughout your interview process, and they're definitely the hardest to gain. I'd recommend practicing talking about different projects to different kinds of people! For example, pick one project you've worked on and try to figure out how you'd describe what you did/why you did it/why it's important/what the results were to someone technical AND someone non-technical. Working through exercises and thought processes like that could be a good first step on figuring out how to communicate findings to different kinds of stakeholders. :) Good luck!
Hello Mam Mam I want to become a data scientist but at present I am in 12th grade and after 12th I don't know what to do can you please suggest me a right direction of this field
I’ve just concluded my bachelors in Civil engineering but I am inclined to move to the Data science field. During my course I learned how to program in phython(in Spyder) and SQL and I’m still updated with those skills. Imagine you are in my shoes what should I do moving forward to learn more about data science? and ensure I can get a job at it? Do you think it is necessary to take another course? What are the general technical skills I have to master?
Great video! I appreciate the honesty. Did you start as an analyst before moving to a Data Scientist role? What role would you recommend for recent grads?
I started as a data science associate! I'd say you can get a role as a Data Scientist without an analyst/associate title if you have a masters or prior work experience in the field. :)
