Hello Ma Damsel in Data! I'm in my 40's and I've decided to work in ML and AI. I've been learning that for a couple of years and I'm now applying for a job as Data Scientist! I'm basically an engineer with an MA degree in telecommunication. I came up with your channel while I was exploring how the job interview would look like, and your guidelines were accurate and the selection process is still going on and they haven't kicked me off yet :) Then, TH-cam suggested this video to me. You help make DS cool (beside the very useful content, of course). Subscribed!
Hi Damsel, I've been watching your content nonstop since I discovered your channel 45 mins ago. With your college credentials and job experience, you are certainly qualified to comment on a lot of things related to data science. Plus your sweet personality and helpful attitude, i cannot help but want to pick your brain for something important to me. Becoming a data scientist is good career choice especially with the kinda prestige that it brings in our society. But I am actually drawn to the nature of the skill, more specifically its interdisciplinary requirements for a good data scientist's capacity of problem-solving. Similar to your experience, my academic passions coincide with those requirements and it feels right to set my sights on this filed. Also, I intend to go to grad school for further mathematical training. It is necessary for me to start considering what I would like to become because that will influence my decision to pick a specialty to get into. So I want to ask a few questions. 1. If I want to be a really really good and respected data scientist out there, which graduate program should I get into? Applied Statistic or Computer Science? 2. Does research experience help with jobs? 3. On the off chance, if I pursued a PHD in Pure Statistics but end up in industries (i actually prefer this scenario), would I be a overkill for the job? I know this is a lot. Any answers are appreciated.
Hi and thank you so much for the super kind words!! You may have already caught some of my thoughts on graduate schooling for data science in my "how to learn data science" video (th-cam.com/video/dJfh-hCJ5F8/w-d-xo.html) but to summarize, I think grad school gives you more job opportunities but it is not a must-have, and you should only pursue it if you're genuinely interested in learning more about your area of choice in an academic setting. To specifically answer your questions: 1) Data science is about solving problems using data. The hard skills required are knowledge of modelling and statistical testing techniques to do this, and the knowledge of computer science to be able to implement them efficiently. This being said, I really don't think it matters too much what kind of graduate program you choose, as long as it helps you apply these skills and practice problem solving. I think most STEM fields will accomplish this, so choose what you're interested in. If I had to choose, I would choose a math program with a focus on statistics. 2) Yes research experience certainly helps. There are many research-based data science jobs out there that will not consider candidates without it. 3) I don't think a PhD is overkill because many data science positions require / strongly prefer experts of this caliber. Of course, there is a chance that there is a minority that may find it to be overkill but if you're interested in research these roles wouldn't be the ones for you anyway. Hope this helps. Good luck!
This was a really fantastic video. You summarized my entire semester of upper division applied statistics in 15 minutes, probably making it more meaningful than my professor was able to. Go math majors! ❤
Yay, you're back! What's your goto method for calculating p-values? Over the course of refreshing my stats knowledge, I think I came across at least three different ways.
Hi Damsel, Is there a way you could make a video taking your linkedin profile as an example of how a profile should look like when applying for new internships or jobs. I am in that stage of applying for internships in data and I could really use your guidance. Thanks for all the content and effort you have put so far I love watching the bad joke dad joke fun bits it really helps in absorbing every bit of information hahahahha
Thanks for the suggestion and the kind words! Glad you like the content. I’ll definitely consider making a video about LinkedIn profiles for the job hunt process!
@@damselindata You're the best ....and I'm so glad you made today's video. Really helps me set perspective on the matter of going for which roles in tech coz I've done my contribution to the software engineering side but now I wanna be in data science
Awesome video. I find your course as meeting my Ha of being very significant to statistics (Statistically Significant), but my substantive evidence if unfortunately NULL. With how you blend fun with learning, have you consider posting to a MOOC like Udemy? Thanks for sharing your knowledge!
Thank you so much for expressing your thanks with statistics 😎 really happy to hear you like the presentation style! I may make a course one day but for now I will be focusing on TH-cam - let me know if there’s anything in particular you wanted to learn!
Thank you very much! Yes, sharpestminds does require a LinkedIn profile provided upon sign up so that mentors can do their research before selecting a mentee
also, damsel - what are your viewpoints on post graduate programs and data science bootcamps and things of that sort... i know you've talk about them in your vids, but since you're being so kind and answering to your audience- have you worked or collaborated with anyone that came from one of those those programs/certifications ? (not including a master's program though, just the other programs) (kinda feel like im interrogating you, sorry if i am...)
@@brianxayasone As far as data scientists / data analysts go, I don't think I've personally worked with someone who came out of a bootcamp or non-masters online program, although I have worked with many people who have come out of degree programs outside of math / computer science or anything directly related to data science, and also people who have come out of completely different careers. I've also worked with and met many software developers at great tech companies who have come out of bootcamps / online non-masters programs. I think online courses and programs are a great way to learn data science. Then, it's up to the individual to complete projects and use networking skills to work their way into a data science role from a non-traditional background. The individuals I've worked with got themselves into non-data science and usually non-technical roles at companies that have established data science teams. Then they transition into data science roles within the company. The number of people I've seen get started this way (works well at tech companies) is pretty remarkable!
@@damselindata do you write on medium or any writing platforms? awesome vids of course, just curious... it seems like you write just as well as you video
As a Data scientist, like Sherlock Holmes I put on my deerstalker hat, grab a magnifying glass (and maybe a cup of tea), and embark on a quest to separate the statistical wheat from the chaff. Just don't forget my trusty pipe filled with data skepticism, for it shall be my faithful companion on this journey through the treacherous world of misinformation.
Hello Ma Damsel in Data!
I'm in my 40's and I've decided to work in ML and AI. I've been learning that for a couple of years and I'm now applying for a job as Data Scientist! I'm basically an engineer with an MA degree in telecommunication. I came up with your channel while I was exploring how the job interview would look like, and your guidelines were accurate and the selection process is still going on and they haven't kicked me off yet :) Then, TH-cam suggested this video to me. You help make DS cool (beside the very useful content, of course). Subscribed!
Yay so happy to hear that! Thanks for tuning in!! Best of luck 🤞
I really like this channel. It considers many topics that other channels don't talk about, and is also very motivational
Thank you very much! Glad you like the channel :)
In the ocean of data science videos it's refreshing to watch videos that give you more energy and motivation by the end. Thank you!
This truly warms my heart to hear, so happy you liked it!
Wow, so glad to see a new video! I'm prepping for an MS in CS with an emphasis on ML/AI, so brushing up on stats is right now is perfect. Thanks!
yay love that - thanks for tuning in and being patient with me! :D
Yay, been waiting for this for so long and now it's here 😁Thanks for another fantastic video!
you're so welcome! Glad you like the channel and thanks for your patience! :)
Hi Damsel, I've been watching your content nonstop since I discovered your channel 45 mins ago. With your college credentials and job experience, you are certainly qualified to comment on a lot of things related to data science. Plus your sweet personality and helpful attitude, i cannot help but want to pick your brain for something important to me. Becoming a data scientist is good career choice especially with the kinda prestige that it brings in our society. But I am actually drawn to the nature of the skill, more specifically its interdisciplinary requirements for a good data scientist's capacity of problem-solving. Similar to your experience, my academic passions coincide with those requirements and it feels right to set my sights on this filed. Also, I intend to go to grad school for further mathematical training. It is necessary for me to start considering what I would like to become because that will influence my decision to pick a specialty to get into. So I want to ask a few questions. 1. If I want to be a really really good and respected data scientist out there, which graduate program should I get into? Applied Statistic or Computer Science? 2. Does research experience help with jobs? 3. On the off chance, if I pursued a PHD in Pure Statistics but end up in industries (i actually prefer this scenario), would I be a overkill for the job? I know this is a lot. Any answers are appreciated.
Hi and thank you so much for the super kind words!!
You may have already caught some of my thoughts on graduate schooling for data science in my "how to learn data science" video (th-cam.com/video/dJfh-hCJ5F8/w-d-xo.html) but to summarize, I think grad school gives you more job opportunities but it is not a must-have, and you should only pursue it if you're genuinely interested in learning more about your area of choice in an academic setting. To specifically answer your questions:
1) Data science is about solving problems using data. The hard skills required are knowledge of modelling and statistical testing techniques to do this, and the knowledge of computer science to be able to implement them efficiently. This being said, I really don't think it matters too much what kind of graduate program you choose, as long as it helps you apply these skills and practice problem solving. I think most STEM fields will accomplish this, so choose what you're interested in. If I had to choose, I would choose a math program with a focus on statistics.
2) Yes research experience certainly helps. There are many research-based data science jobs out there that will not consider candidates without it.
3) I don't think a PhD is overkill because many data science positions require / strongly prefer experts of this caliber. Of course, there is a chance that there is a minority that may find it to be overkill but if you're interested in research these roles wouldn't be the ones for you anyway.
Hope this helps. Good luck!
@@damselindata All of these are great advice. Thanks a lot for sharing. I must say I am a fan now. :)
I've been waiting for you for a long time!! Thank you for your coming back!!!
Thanks for your patience! So excited to be back :D
This was a really fantastic video. You summarized my entire semester of upper division applied statistics in 15 minutes, probably making it more meaningful than my professor was able to. Go math majors! ❤
Wow thank you 🥹🙏 thanks for checking it out!
Happy to see you again
Happy to have you here!
I'm so glad you're still making videos!
So happy you stuck around!
Thank you for your generosity in sharing the information about data science. I watched all the videos and got an overview of the area. ;-)
You’re so welcome! Really happy to hear you liked the videos :)
I am glad you’re alive. Keep the same content or whatever content you want
thank you so much!!! Thanks for sticking around!
Kinda crazy how people can jump to conclusions based on bad stats.... NGL I've been guilty of this 🙈
Anyway, welcome back to the youtubes!
Oh absolutely same here - happens to the best of us! Thanks so much for the warm welcome - excited to be back!
I guess luke really likes you, cause he always makes time to comment on your videos🤓
Data fam has to stick together!
Missed your videos! Glad you're back 😊
so happy to hear that, thank you
I am new to the data science field but this has helped me a lot.
so happy to hear that! welcome to the world of data science! :D
Glad you're back!
thank you so much! glad to be back!
Math books should be written the way you talk and make jokes. I love your clarity. I'd just add more memes and PERFECTION.
Yay, you're back!
What's your goto method for calculating p-values? Over the course of refreshing my stats knowledge, I think I came across at least three different ways.
Hello!! It would depend on the data you have available and the way your experiment is set up. I would say a z test is probably most common in practice
@DID, loved your simplified version of statistics with a real life example. Keep up the good work!
So happy to hear that! Thank you!
Hi Damsel, Is there a way you could make a video taking your linkedin profile as an example of how a profile should look like when applying for new internships or jobs. I am in that stage of applying for internships in data and I could really use your guidance. Thanks for all the content and effort you have put so far I love watching the bad joke dad joke fun bits it really helps in absorbing every bit of information hahahahha
Thanks for the suggestion and the kind words! Glad you like the content. I’ll definitely consider making a video about LinkedIn profiles for the job hunt process!
@@damselindata You're the best ....and I'm so glad you made today's video. Really helps me set perspective on the matter of going for which roles in tech coz I've done my contribution to the software engineering side but now I wanna be in data science
@@ambarpathakkilbar really happy the video was relevant for you! thanks for the feedback
Welcome back damsel 🥳
thank you! good to be back!
Glad you are back
Thank you! So excited to be back :D
very helpful, thank you
Happy you liked it!
Awesome video. I find your course as meeting my Ha of being very significant to statistics (Statistically Significant), but my substantive evidence if unfortunately NULL. With how you blend fun with learning, have you consider posting to a MOOC like Udemy? Thanks for sharing your knowledge!
Thank you so much for expressing your thanks with statistics 😎 really happy to hear you like the presentation style! I may make a course one day but for now I will be focusing on TH-cam - let me know if there’s anything in particular you wanted to learn!
wonderful content as always, damsel! regarding the mentorship promo, sharpestmind link requires a linkedin?
Thank you very much! Yes, sharpestminds does require a LinkedIn profile provided upon sign up so that mentors can do their research before selecting a mentee
shucks... kinda social media shy to be honest. but thanks for the reference. keep it up, damsel!
also, damsel - what are your viewpoints on post graduate programs and data science bootcamps and things of that sort... i know you've talk about them in your vids, but since you're being so kind and answering to your audience- have you worked or collaborated with anyone that came from one of those those programs/certifications ? (not including a master's program though, just the other programs) (kinda feel like im interrogating you, sorry if i am...)
@@brianxayasone As far as data scientists / data analysts go, I don't think I've personally worked with someone who came out of a bootcamp or non-masters online program, although I have worked with many people who have come out of degree programs outside of math / computer science or anything directly related to data science, and also people who have come out of completely different careers. I've also worked with and met many software developers at great tech companies who have come out of bootcamps / online non-masters programs.
I think online courses and programs are a great way to learn data science. Then, it's up to the individual to complete projects and use networking skills to work their way into a data science role from a non-traditional background. The individuals I've worked with got themselves into non-data science and usually non-technical roles at companies that have established data science teams. Then they transition into data science roles within the company. The number of people I've seen get started this way (works well at tech companies) is pretty remarkable!
@@damselindata do you write on medium or any writing platforms? awesome vids of course, just curious... it seems like you write just as well as you video
Really good insight into the statistical significance of statistics. Thank you so much!
Haha thank YOU so much glad your enjoyment of the video was statistically significant :D
top-notch
Thank you!
As a Data scientist, like Sherlock Holmes I put on my deerstalker hat, grab a magnifying glass (and maybe a cup of tea), and embark on a quest to separate the statistical wheat from the chaff. Just don't forget my trusty pipe filled with data skepticism, for it shall be my faithful companion on this journey through the treacherous world of misinformation.
Love this
Would you recommend some Statistics books for stupid people like me? Thanks.
Michael Scott: I know how to pronounce H o LOL
You added up new reason to learn data science
I know it sound cringe but, you are so gorgeous
No make up needed. Tu sei bellissima.
Understanding X by whitepapers and statistical research: ❌
Understanding X by memes: ✅
Memes are the true unsung heros of society
I subbed many months ago. Double fans.
thank you!
Hi Data Girl.