Use my link bit.ly/TheAlmostAstrophysicist2DCFeb22 and check out the first chapter of any DataCamp course for FREE to unlock new career opportunities and become data fluent today!
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!
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 TH-cam:)
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.
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! 😁
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.
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..
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.
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.
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!
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?
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 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. :)
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
Use my link bit.ly/TheAlmostAstrophysicist2DCFeb22 and check out the first chapter of any DataCamp course for FREE to unlock new career opportunities and become data fluent today!
What 😊😊😊😊😊😊😊😊😊
This feels like A LOT of knowledge and skill to expect for an entry level position
Most definitely, she did however mention this covers most interviews. I would expect something like this for a FAANG company
Yes! Like seriously!!
Yes!!!! I’m looking for an entry level now
Data scientist isn’t really an entry level role :)
Like the person above said, data science isn’t really an entry level job
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!
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 TH-cam:)
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.
This makes me so excited to be a data scientist! Thank you for the video.
Absolutely! being a data scientist is so fun :)
@@TheAlmostAstrophysicist only for you not for everyone!!😂😂😂
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! 😁
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.
Thank you for this video. This is extremely helpful as I am currently applying to data science and quantitative analytics positions.
Absolutely! Good luck with all of your interviews!
Gradient descent is not finding maximum. It’s about finding minimum, gradient ascent is finding a maximum.
The video is really helpful in understanding how a data science interview works.
Can you please make a video on which leetcode problems to solve
Awesome video! Good structure, so many growth points, to DS specialist) Thank you so much for your knowledge and energy!))
I love your videos, cus they are straight to the point and very informative. Pls keep it up.
How did you become a data scientist ?Can you make a video on that?
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..
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.
It would be really great if you could share the questions that were you asked in your very first interview for Associate Data Scientist roles.
The intro was really dang good, keep it up :)
Thank you Akki!!! 😁😁😁
If I have to do 8 hours worth of work for an interview, I expect to get paid or the company can expect to get sued.
Good information! Also love the fact that you're wearing a Metallica shirt too.
Awesome and extremely helpful video!
Nice! Thanks for sharing .
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.
This is very helpful 👏🏾👏🏾
Great information and content 👍
Brilliant Ideas to prepare for interviews, thanks!! Any tips for getting better at leet coding?
Please make more content ❤
Do I need to sign up for a data structures and algorithms class in preparation for a data science interview?
How can I improve my self ,Iam just finishingmy msc
there are a lot of soft skills and communications in the last phase, how and when do you learn that?
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!
@@TheAlmostAstrophysicist thank you😁😁❤
Are the expectations this high even for intern positions? This feels like a lot for even an entry level position.
thank you!
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?
Basically I know how to use Excel , phyton and SQL and I have no ideia what I should do from now on to be able to work in the Data science field
Impressive work! She over killed it. I will not forget to mention that she's very beautiful too with lots of smiles 😍🤩
simp
Hi Priya,
Thanks for this insightful video. Does this interview process imply the entry-level data scientist interview?
Her voice is like Summer from R&M unblievible omg
Where did you take python classes? Was it on their website?
How did you go from astrophysics to data science,why not continue as astrophysicst
Nice one!
Thank you!!! 😁😁
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?
Good one
Thank you Tata!!
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. :)
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
Looks like the data science interview is the same as the software engineering interview. I’m disappointed 💔
Data science is not an entry level career. It is a highly complex role with the salary to back it up. I mean she studied astrophysics at UChicago lol
Lovely
Record using the back camera
More importantly great video
you are boss.Figifi
I’d prefer to see real questions and answers. Thank you though