Yeah the part where you snuck in that you broke down in the burnout section. Hoping things are better now. I personally just took my first day off in ... I can't remember when. But yeah, that was relatable.
Not surprising ..... Actually annoying... Same content over and over again... Okay we understand that u are a data scientist... Now dont flex too much... It would be good, if u teach the concepts... And not, " how I became data scientist", why I became, why i am so good, what I wish I knew.... ,And all those stupid stuff.. It's enough we don't want to hear anymore... Anyway, unsubscribing... Keep feeding sh*t to u re-tard subscribers...
A 95% confidence interval is the same as a p-value of 0.05, which means that there is a 5% chance that the observed difference is due to random chance and not a true population difference.
I think this is one of the best videos I've ever watched about being a data scientist, with all real aspects! I'm also a data scientist in one of the top tech companies and it took me quite while to understand there is no better way than embracing uncertianty & ambiguity in DS space and communicate it clearly rather than feeling yourself insufficient in your skills all the time. I was so overwhelmed and almost burnout till my awakening around these topics, it's super supportive the watch this video, thank you so much for sharing Tina
A 95% confidence interval means that the area of the probability distribution that lies at the right/left/middle of your decision boundaries accounts for 0,95. That means that 95% of all possible outcomes will fall in that area, therefore you say that there's a 95% chance of happening what you predict/hope/bet.
Another really helpful video! Every time I watch your content I’m more confident in my decision to go into DS. This was what I wanted to know about the role but couldn’t find in any article, or even any other YT video. Thank you for your valuable insights!
I just found your channel and I have been watching all of your videos! I love how you are so honest and open, and don't try too hard to come off in a certain kind of way. You are you before you are a data scientist/programmer/youtuber, which in turn makes me feel more connected with myself.
95% confidence interval means "if i do this experiment infinite times, 95% of the time i will get a confidence interval from the data that contains the true parameter"
This is 100% correct. But not sure how useful this will be to communicate to people who don’t speak math. Repeating experiments infinite times, does only make sense to mathematicians, “in the limits.” CIs are really a difficult concepts to explain. Compare this with HDI…
95% confidence interval --> if there is no relationship between notifications and purchasing, there is a 5% chance that you observed what you see just by chance. If we think this number is really small it strongly suggests that the idea that there is no relation between notifs and purchasing is wrong (pls tell me if im off the mark so i can learn thank u)
On the right track, but this is an explanation of p-values. You may have a tight 95% CI around 0, meaning that you are confident that the relationship is practically 0.
I would LOVE to have a chat with you about life, career or anything! Glad that I found out this channel! I wish I had people like you in my environment. But I guess I can't complain much lol...so working hard to get out of it.
anytime I watch your videos, I get pumped to push myself in my career, though I'm not a data scientist I enjoy the contents you provide. Keep up the good works Tina.
In statistics, 95% confidence interval means you can be 95% confident that the sample collected of a variable, will contain the true population mean. (Please improve if i've missed anything)
95% CI, also commonly known as “within the margin of error”; people think it tells you the range of plausible values of your estimate. But it actually tells you which values you can not rule out using the hypothesis test with a false-positive rate of 5%. This is the reason why the size of the 95% depends on the exact test you use. This would be not the case, if the 95% CI was actually “plausible values.” For those, you may want to use HDI using a Bayesian approach. (Taught advanced stats at PhD level)
Hi Tina. I am right now studying my ug in Electronics and Communication currently in 3rd year. And even before I joined for ug .I wanted to go for data science for pg. But recently my anxiety is getting the best hold on me which makes me worried if I am best fit for the course anymore. Seeing your videos and your hardwork I envy you lot. And I hope one day I can reach at place where I can confidently say I am a data science too.
7:16 95% in a confidence interval means if we repeat the experiment 100 folds, we will get the same mean result in 95 of 100 experiments (Im not fluent in english and try to answer also to improve my english :D)
Matter of fact, question for ya'll. Does it sound like my head is in agood place to start learning this skillset? I sucked at math most of my life, until I took stats for the second time in college and from there I loved stats. I've always understood mathematical concepts, just sucked at doing the math by hand with formulas. Data science is kind of intimidating bc I have no tech background rn, but appealing because of the explanatory power of what I would learn and how I basically get to be in perpetual school mode.
From personal experience, the following things are more important than your current skills: 1. your *personal reasons* for wanting to learn data science (e.g. you love learning new things, combining them with what you already know, and using your knowledge and, possibly, your team's knowledge to solve real world problems); 2. your *mindset* (understand that learning data science will take longer and will be more challenging than you think) 3. your *determination* (i.e. your commitment to not giving up when you feel you've hit an insurmountable wall or when you start questioning your abilities) Not only are those three things more important than your current skills, they are a prerequisite to improving said current skills and to gaining the skills you'd like to have. 😊 There's nothing in your comment that makes me doubt your ability to learn data science. As long as you're sure that's the career you want, go for it. If you're still unsure, do a bit more research into what data science is all about, and decide then. Best wishes to you. 😊
It seems that you consider “perpetual school mode” a good thing… I think you are already a data scientist, now you only have to learn the foundational skills.
Hey Tina; what's your take on: The 5 best/biggest data-science department Companies currently? Weirdly phrased, but I think you know what I'm alluding to.
Hi Tina! Thanks for sharing all of these insights. Typically how long do you have for project completion. It would be helpful to learn how project planning and implementation works in the industry. Please feel free to let me know if you've already done a video on this, but if you haven't maybe that is a potential video topic :)
@Tina if RUclips analytics somehow show increased activity at 3:16, it's just me replaying the office scene 20 times and laughing my ass off. I love your editor
It's a tricky then! In one of previous videos you've told, that it's very important to do a marketing for a given model. Aaand bosses may (possibly lol) not like words like "maybe", "perhaps" etc.
Could you maybe make a video about imposter syndrome? I now have my bachelors degree in maths and i want to start my Data Scientist Master, but my imposter syndrome is holding me back a lot... Since you said you had it too, what did you do against it? Do you have any tipps?
95% confidence interval means you can be 95% sure the real answer will be in the data. It's been a while since stats, but I think you would be using this to tell if the p-value or t-value is the true p or t value determining whether results are significant.
In layman terms 95% confidence interval is nothing but you are 95% sure of the result (not exact def but the outer layer idea) and getting error is has only 5% chance which is due is randomness
I wish more people believed in keeping an open mind, but unfortunately, most people say things with 100% certainty. Thus, the dunning-kruger effect, but you never know these days maybe someday people will change.
In laments terms for 95% confidence, Is this going to help sell the product more? Yeah, I can almost 100 percent guarantee that it will increase sales.
love your channel so much! my biggest inspiration :) i'm in hs right now and i'm seriously considering data science for my future. any advice on what i could do now that would help me out in the long run?
95% confidence interval means that out of 100 values we are confident or sure that 95 values of the total data will be precise. That is we are confident that the 95% of results we end up with are sound and the rest 5% is just uncertainty of the accuracy of result.
The burn inside-out is so relatable, the planning as well ! Aight I'll make sure not to do these while I wait for next year's video so you can tell us the mistake you did so I won't do them and so on lol :3 #sacrifice ( jk jk, loved the video )
Always giving out useful information and productive tricks in your videos 💯. Would you like a RUclips writer for your videos to post on your blog, I mean make a script or write up from your videos. I would be happy to help.
I have been following your videos and they have really been interesting. I'm a beginner who aspires to be a data scientist but I do not know the courses to begin with although I have completed courses on python language. I seek for your help in this so I can be sure I'm on track
Thanks Tina, quite helpful and probably much needed advice for those just entering or taking up their first Data Science Job! PS: How do you actually explain 95% confidence interval in layman terms?
Hi Tina, I hope to change career to Data science but I just started the Google Data Analytics course and after that do a Data science course. I know that are different things. Do you think doing the Google course is a waste of time and if yes what course would you advise I take for Data Science?
I never thought much about it before I got a degree in project management. I am now a lot less tolerant of a lot of things. Think of the number of problems that would not exist if people spent literally a few seconds thinking about potential results before taking a stupid action. Instead, folks insist on living their lives by the creed "Hey Verne, hold my beer, watch this!"
Hi Tina! I’m a new subscriber and really like your content! I’m majoring in Information Science and Technology. I’m interested in the field of data science, however. Do you think information science is similar enough to get a job in data science??
hi Matt i'm a fellow data scientist (and small youtuber!) and fan of Tina's content - yes I believe that information science will enough to get into data science, keep it up! :)
do i need to master statistics fundamentally ? like prior posterior distribution , gradient functions, likelihoods, even logarithmic and differential . with all those mathematic notation. or do i just need to know the basics then use a readily available library ?
Is anything I mentioned surprising to you? 🐈🐈
Hello tina
The video was super cool and on point
The magic trick was impressive
Yeah the part where you snuck in that you broke down in the burnout section. Hoping things are better now. I personally just took my first day off in ... I can't remember when. But yeah, that was relatable.
Not surprising ..... Actually annoying...
Same content over and over again...
Okay we understand that u are a data scientist...
Now dont flex too much...
It would be good, if u teach the concepts...
And not, " how I became data scientist", why I became, why i am so good, what I wish I knew.... ,And all those stupid stuff..
It's enough we don't want to hear anymore...
Anyway, unsubscribing...
Keep feeding sh*t to u re-tard subscribers...
Creating systems to avoid burnout is a HUGE deal. I've also found that creating my own structure (like you have in school) really helped me!
A 95% confidence interval is the same as a p-value of 0.05, which means that there is a 5% chance that the observed difference is due to random chance and not a true population difference.
I think this is one of the best videos I've ever watched about being a data scientist, with all real aspects! I'm also a data scientist in one of the top tech companies and it took me quite while to understand there is no better way than embracing uncertianty & ambiguity in DS space and communicate it clearly rather than feeling yourself insufficient in your skills all the time. I was so overwhelmed and almost burnout till my awakening around these topics, it's super supportive the watch this video, thank you so much for sharing Tina
I love being unemployed and watching this videos
I am going to Vancouver next year to study CS. I am inspired by you and your tips and tricks of learning. Love you so much ❤️❤️
A 95% confidence interval means that the area of the probability distribution that lies at the right/left/middle of your decision boundaries accounts for 0,95. That means that 95% of all possible outcomes will fall in that area, therefore you say that there's a 95% chance of happening what you predict/hope/bet.
Another really helpful video! Every time I watch your content I’m more confident in my decision to go into DS. This was what I wanted to know about the role but couldn’t find in any article, or even any other YT video. Thank you for your valuable insights!
Thank you for taking time out of your day to record and post this video. I have learned a lot from it.
I just found your channel and I have been watching all of your videos! I love how you are so honest and open, and don't try too hard to come off in a certain kind of way. You are you before you are a data scientist/programmer/youtuber, which in turn makes me feel more connected with myself.
Hi!, currently I am a Data Engineer, but I want to switch to Data Scientist, watching your videos motivates me to become a Data Scientist. Regards!
95% confidence interval means "if i do this experiment infinite times, 95% of the time i will get a confidence interval from the data that contains the true parameter"
Infinite times or just 100 times?
This is 100% correct. But not sure how useful this will be to communicate to people who don’t speak math. Repeating experiments infinite times, does only make sense to mathematicians, “in the limits.” CIs are really a difficult concepts to explain. Compare this with HDI…
@@hammadsheikh6032 yep Bayesian Credible Interval is what we wish Confidence Interval was!
95% confidence interval --> if there is no relationship between notifications and purchasing, there is a 5% chance that you observed what you see just by chance. If we think this number is really small it strongly suggests that the idea that there is no relation between notifs and purchasing is wrong (pls tell me if im off the mark so i can learn thank u)
On the right track, but this is an explanation of p-values. You may have a tight 95% CI around 0, meaning that you are confident that the relationship is practically 0.
I would LOVE to have a chat with you about life, career or anything! Glad that I found out this channel! I wish I had people like you in my environment. But I guess I can't complain much lol...so working hard to get out of it.
Hope in the future, I can be in your position to share my "DATA SCIENTIST" experience too. Love you Tina❤
Wow I'm so happy I just watched this video! I'm applying to DS jobs right now and it really helps!
Your insight is grounding and so helpful. Really, thank you!
I love how you made the cat dissappear suddenly in 1:54... Nice skill!!
anytime I watch your videos, I get pumped to push myself in my career, though I'm not a data scientist I enjoy the contents you provide. Keep up the good works Tina.
Planning is so underrated! Especially in smaller companies like mine. They just give you a problem and expect you to solve it on a zoom call 😂
Thank you for sharing!!
Your cat is adorable ☺️ And thanks a lot for an information 😌
The cat is like Schrödinger's cat as he is both invisible and visible.
1:23 there was a clip of Istanbul, actually the road leading to my Uni haha did not expect that 😊 hi from turkey 🌸
In statistics, 95% confidence interval means you can be 95% confident that the sample collected of a variable, will contain the true population mean.
(Please improve if i've missed anything)
On the right track but not correct. See my earlier comment explaining CIs.
Great video. Appreciate the insight Tina.
Great advice! Thank you!
Awesome video! Just love it!
Please make a video on 'Is competitive programming very important for data science?'
Thanks! Very informative video!
This is probably the most important video on your channel
Well. You just described exactly how I think and act lol. Maybe I should do this for work.
Your videos are so informative! Keep it up
95% CI, also commonly known as “within the margin of error”; people think it tells you the range of plausible values of your estimate. But it actually tells you which values you can not rule out using the hypothesis test with a false-positive rate of 5%. This is the reason why the size of the 95% depends on the exact test you use. This would be not the case, if the 95% CI was actually “plausible values.” For those, you may want to use HDI using a Bayesian approach. (Taught advanced stats at PhD level)
This ain’t in layman’s terms, but 100%
@@gildedmage5695 got your attention :-) I emailed you.
Lay term: margin of error. “Given the study designs, measures, and sample size, we achieved a precision of +- 6%, which is our margin of error”
Thanks Tina, really helpful and related to my condition these days 😅
Hi Tina.
I am right now studying my ug in Electronics and Communication currently in 3rd year.
And even before I joined for ug .I wanted to go for data science for pg. But recently my anxiety is getting the best hold on me which makes me worried if I am best fit for the course anymore. Seeing your videos and your hardwork I envy you lot. And I hope one day I can reach at place where I can confidently say I am a data science too.
7:16 95% in a confidence interval means if we repeat the experiment 100 folds, we will get the same mean result in 95 of 100 experiments
(Im not fluent in english and try to answer also to improve my english :D)
Thanks for this great information 👍
1:51 There is so much you are great in, and you are an actual sorceress??? Wow!
(I'm not into magic off course, but that was a nice trick)
Matter of fact, question for ya'll. Does it sound like my head is in agood place to start learning this skillset?
I sucked at math most of my life, until I took stats for the second time in college and from there I loved stats. I've always understood mathematical concepts, just sucked at doing the math by hand with formulas.
Data science is kind of intimidating bc I have no tech background rn, but appealing because of the explanatory power of what I would learn and how I basically get to be in perpetual school mode.
From personal experience, the following things are more important than your current skills:
1. your *personal reasons* for wanting to learn data science (e.g. you love learning new things, combining them with what you already know, and using your knowledge and, possibly, your team's knowledge to solve real world problems);
2. your *mindset* (understand that learning data science will take longer and will be more challenging than you think)
3. your *determination* (i.e. your commitment to not giving up when you feel you've hit an insurmountable wall or when you start questioning your abilities)
Not only are those three things more important than your current skills, they are a prerequisite to improving said current skills and to gaining the skills you'd like to have. 😊
There's nothing in your comment that makes me doubt your ability to learn data science. As long as you're sure that's the career you want, go for it. If you're still unsure, do a bit more research into what data science is all about, and decide then. Best wishes to you. 😊
It seems that you consider “perpetual school mode” a good thing… I think you are already a data scientist, now you only have to learn the foundational skills.
Hey Tina; what's your take on: The 5 best/biggest data-science department Companies currently?
Weirdly phrased, but I think you know what I'm alluding to.
7:14 95% is the confidence level of the experiment, you "expect" this to happen 95 out of 100 times.
Thank you for inspire me
Hi Tina! Thanks for sharing all of these insights. Typically how long do you have for project completion. It would be helpful to learn how project planning and implementation works in the industry. Please feel free to let me know if you've already done a video on this, but if you haven't maybe that is a potential video topic :)
u r awesome chechi. loved the content
Super interesting thank you.
@Tina if RUclips analytics somehow show increased activity at 3:16, it's just me replaying the office scene 20 times and laughing my ass off. I love your editor
She is the editor, no?
It's a tricky then! In one of previous videos you've told, that it's very important to do a marketing for a given model. Aaand bosses may (possibly lol) not like words like "maybe", "perhaps" etc.
Haha so true! It’s a fine line like you have to market but also be transparent 🙃
For a layman, it means " I'm 95% confident in my calculation that the actual mean value is between these 2 values "
True observation, but wrong interpretation. That’s what we want the 95%CI to be. But it is not. If you want that you need the Bayesian HDI.
I love your cat, reminds me of mine but in different colors!
Btw loved "The Istanbul View " at 1.19
Could you maybe make a video about imposter syndrome? I now have my bachelors degree in maths and i want to start my Data Scientist Master, but my imposter syndrome is holding me back a lot...
Since you said you had it too, what did you do against it? Do you have any tipps?
I like your insights
Tina seems to be the type of person to be both depressed and happy at the same time
95% confidence interval means you can be 95% sure the real answer will be in the data.
It's been a while since stats, but I think you would be using this to tell if the p-value or t-value is the true p or t value determining whether results are significant.
In layman terms 95% confidence interval is nothing but you are 95% sure of the result (not exact def but the outer layer idea) and getting error is has only 5% chance which is due is randomness
Just found you today and lowkey in love with you already😍
Hi tina , about statistics , what kind ? Descriptive ??
Keep it up, love from portugal 🇵🇹🔥🔥🔥👍🙏
Oh you do magic too nice1👍🏽
Hey Tina, could you please give some tips on applying to MCIT/ SOP tips :)
"Correlation is not causation" so obvious once someone says it.
sounds fun
I wish more people believed in keeping an open mind, but unfortunately, most people say things with 100% certainty. Thus, the dunning-kruger effect, but you never know these days maybe someday people will change.
In laments terms for 95% confidence, Is this going to help sell the product more? Yeah, I can almost 100 percent guarantee that it will increase sales.
That cat is between my data science
love your channel so much! my biggest inspiration :)
i'm in hs right now and i'm seriously considering data science for my future. any advice on what i could do now that would help me out in the long run?
Keep eyes on PLUG, GEVO, FCEL for the next 2 weeks. Starting Monday.
Can you talk more about making the transition from pre med to tech? Did you take a gap year and how did you discover this field in particular?
I just read your bio lolol! But I’m a former pre med who’s looking into this field as well and would really love some advice 😭
95% confidence interval means that out of 100 values we are confident or sure that 95 values of the total data will be precise.
That is we are confident that the 95% of results we end up with are sound and the rest 5% is just uncertainty of the accuracy of result.
sounds fun tbh
Seems like learning how to learn is huge. Getting one of them Sharingan would help too 🤔
Great content! What's your MBTI type?
Love the cat
The burn inside-out is so relatable, the planning as well ! Aight I'll make sure not to do these while I wait for next year's video so you can tell us the mistake you did so I won't do them and so on lol :3 #sacrifice
( jk jk, loved the video )
Great, another vid
Always giving out useful information and productive tricks in your videos 💯. Would you like a RUclips writer for your videos to post on your blog, I mean make a script or write up from your videos. I would be happy to help.
I have been following your videos and they have really been interesting. I'm a beginner who aspires to be a data scientist but I do not know the courses to begin with although I have completed courses on python language. I seek for your help in this so I can be sure I'm on track
Im liking the video just for the cat
JAJAJAJAJA I LOVE! "yes, but you never know this days" jajajajaja so funny
Thanks Tina, quite helpful and probably much needed advice for those just entering or taking up their first Data Science Job!
PS: How do you actually explain 95% confidence interval in layman terms?
Hi Tina,
I hope to change career to Data science but I just started the Google Data Analytics course and after that do a Data science course.
I know that are different things.
Do you think doing the Google course is a waste of time and if yes what course would you advise I take for Data Science?
Commenting while watching.. brb 😁
9:00 will say this in all my future meetings
Can Oracle SQL developers transfer to data science?
The best way to deal with impostor syndrome is to accept living as an impostor.
***You inspired me***
Tina can u plz tell me or make a video on sources to learn data science(and machine learning) maths.
Plz plz plz acknowledge
I never thought much about it before I got a degree in project management. I am now a lot less tolerant of a lot of things. Think of the number of problems that would not exist if people spent literally a few seconds thinking about potential results before taking a stupid action. Instead, folks insist on living their lives by the creed "Hey Verne, hold my beer, watch this!"
How difficult was the master degree of Data Science after your health degree?
my Sinusitis is so bad, i started sneezing just by looking at 10:19
That magic was cool 🤣🤣🤣
im only just learning python now! God help me!
95% confidence is when you test hypothesis. You are 95% sure your H0 hypothesis is true.
Hi Tina! I’m a new subscriber and really like your content! I’m majoring in Information Science and Technology. I’m interested in the field of data science, however. Do you think information science is similar enough to get a job in data science??
hi Matt i'm a fellow data scientist (and small youtuber!) and fan of Tina's content - yes I believe that information science will enough to get into data science, keep it up! :)
@@candidlyvivian hey thanks for the reply!! That is good to hear. I’ll be sure to check out your channel!
Hi, I am new here but I would like to know where does she work? is it not allowed to reveal?
Is it worth it to struggle through if you are bad at math or don't enjoy it but enjoy logical programming.
is joseph crazy into me
What is the difference from a Data Scientist and a Data Analyst?
In the parallel universes where this experiment was run, 95% of them had the result between these bounds.
I’m barely starting to introduce myself into that world.
do i need to master statistics fundamentally ? like prior posterior distribution , gradient functions, likelihoods, even logarithmic and differential . with all those mathematic notation.
or do i just need to know the basics then use a readily available library ?