As a Statistics Major, I use a lot of math! So in this video I'm going over ALL of the math that I have come across in a undergraduate Statistics degree! Subscribe 🥸
I am doing BSc in Applied Statistical Sciences.I have been following all your videos. You have made me fall in love with statistics. Just want you to know that you are making a difference 🙂Thank you so much
This is actually a very basic applied stats curriculum. If you ever wanted to really dig into it and do research youd need real analysis, measure theory and a probability approach using it, maybe bayesian modeling, numerical analysis, differtial equations, a basic optimization sequence etc. If you could get through all that and retain decent amounts of it then youd be set. But without the theoretical backgrounds, what is even the point of doing stochastic processes? How do you know really what a markov chain and mcmc is? How do you really know when it is appropriate to deal with continuous time series data rather than discrete? It leaves too many holes, and consequently will leave you with a low ceiling. If you really want to make money and be a solid stats person you will almost certainly need a higher degree. Maybe in stats, operations research, computational math, something. A bachelor's usually isnt enough though. A bachelor's just isnt really enough unless youre coming out of stanford or MIT. Ive written publishable papers in undergrad on stats things (theory), and when you talk to people that really do the big lifting, its just a night and day difference. The gap there is so wide that you cant imagine. I mean dealing with copulas, multinomial logit choice models, information theory, game theory, multi goal objective functions, there really is so much more to stats than just applied stats. I just feel this video only included the basic procedual portions of stats and left out all of the really interesting higher level stuff. Like anyone can do anova and ARMA in python or R, but what can you quantify uncertainty on data where it isnt appropriate to leverage the CLT using frequtist approaches, or could you take the data and optimize processes/complex tasks with mutliple constraints? The subject is so much more than you had described.
I just finished my statistics class today. Found out I got a 97 on the final 😎. Glad I remembered a lot of the R studio code because there was a lot of questions asking for the damn code 🤦🏽♂️. Testing Hypotheses was the most difficult chapter imo. Pretty tough 6 week class ngl . Now I can finally enjoy summer 😎.
Great video, underrated channel! I have always fetishized the idea of studying something like this, and your video made me reconsider, that's a good thing! You do you, wish I could make this on my own channel. Deserved subscriber, greetings from Denmark!
I'm a freshman at Uni for Accounting, doing my minors in Statistics, it's the same for my Uni, Calc 1-3, linear algebra, prob. stochastic, etc. I am planning to throw in a regression analysis course and time series analysis as well. Challenging, but rewarding!
If you want to go hardcore in your statistics (Masters / phd) then inclusion of Real Analysis is definitely useful, even for the mathematical maturity.
Statistics from the measure theoretic view really makes everything more intuitive. I think learning Analysis is really tough but once you know it, the applied statistics parts become easier to pick up. I switched to pure math as an undergrad from applied statistics for this reason.
In my second semester I have mathematical analysis and yes it was a nerve wrecking topic in the first few classes. But after some practice the topic feels doable. And I have the exam in this class in just 10 days.🙂
I am not positive on that, I may test and see how everyone likes something like that .. however it would likely be data science/Analytics oriented tutorials and concepts in R or Python
I have a extremely neutral to down right no Intrest towards some math topics but I really like statistics I hope I'm not the only one who has these views.
Taking mathematical analysis into my second year now, as well as variance analysis on the side. Do you think taking a course in Python would be a beneficial use of my time?
I really didn’t spend like all my time doing homework or anything, the main thing that helped was to do just a little bit every day.. just seeing it every day really really helps
@@ChristianGardner Ah ok Thanks. My uni only has 1 probability professor and he has a 1/5 in ratemyprof, really bad professor. Are there any books or youtube channel you can recommend me so when I take it I dnt have to strangle myself to understand it. :)
No discrete math nor real analysis? I had to take discrete math for my stats minor and I'm not a stats major but my uni requires real analysis for the statistics degree.
Some combination of computer science with statistics/math/data science minor would be my recommendation.. a graduate level degree would probably be necessary
hey chris .... i did b.sc in statistics.... i wanna do masters in statistics... could you plz make a vedio for top10 schools for masters in statistics in USA..
I’m gonna be honest you’d be far better off looking into that on google and going by your own standards and what you are looking for … I MAY make a video like that in the future but it’s so personal to you that I think it would be better if you made that sort of decision for yourself!
@@ChristianGardner i asked because i am from india .... just wanted to know if only MIT Harvard Stanford are the best..... because you are a US citizen and a stats guy ...
A very popular text is Statistical Inference by Casella and Berger. I would suggest going through First Couse in Probability by Ross and Advanced Calculus by Buck before starting this book, as it assumes some pre requisites.
aftrer mathstats im taking anova right now following your order, and they are talking about factors, factor levels, ramdo errors etc does one need to take a factor analysis theory course prior to anova?
@@ChristianGardner Statistics lol. Well I'm going to be a freshman but I ended up taking just about every math course in high school except calculus 3.
@@ChristianGardner Yeah, you did, *sigh* I like Statistics, but I've been trying and failing math for the better part of a decade, I just don't know... Is that all the Math I'd have to do in Statistics?
aftrer mathstats im taking anova right now following your order, and they are talking about factors, factor levels, ramdo errors etc does one need to take a factor analysis theory course prior to anova?
I have never taken a factor analysis theory class, but have taken anova.. I don’t think it would be necessary but could help in understanding theory behind why you are doing what you are doing
Hey there comment lurker, let me know down here.. what is the hardest math class you have taken? Mine personally was probably mathematical Statistics!
Thank you for this video Chris😇. Very helpful.
You’re welcome as always 🤘🏼
I am doing BSc in Applied Statistical Sciences.I have been following all your videos. You have made me fall in love with statistics. Just want you to know that you are making a difference 🙂Thank you so much
Wow that means soo much you don’t even know! Thank you 🙏🏼
Just what I needed!!
The set-up in the back be looking kinda fire 🔥
This is actually a very basic applied stats curriculum. If you ever wanted to really dig into it and do research youd need real analysis, measure theory and a probability approach using it, maybe bayesian modeling, numerical analysis, differtial equations, a basic optimization sequence etc. If you could get through all that and retain decent amounts of it then youd be set. But without the theoretical backgrounds, what is even the point of doing stochastic processes? How do you know really what a markov chain and mcmc is? How do you really know when it is appropriate to deal with continuous time series data rather than discrete? It leaves too many holes, and consequently will leave you with a low ceiling. If you really want to make money and be a solid stats person you will almost certainly need a higher degree. Maybe in stats, operations research, computational math, something. A bachelor's usually isnt enough though.
A bachelor's just isnt really enough unless youre coming out of stanford or MIT. Ive written publishable papers in undergrad on stats things (theory), and when you talk to people that really do the big lifting, its just a night and day difference. The gap there is so wide that you cant imagine. I mean dealing with copulas, multinomial logit choice models, information theory, game theory, multi goal objective functions, there really is so much more to stats than just applied stats. I just feel this video only included the basic procedual portions of stats and left out all of the really interesting higher level stuff. Like anyone can do anova and ARMA in python or R, but what can you quantify uncertainty on data where it isnt appropriate to leverage the CLT using frequtist approaches, or could you take the data and optimize processes/complex tasks with mutliple constraints? The subject is so much more than you had described.
I just finished my statistics class today. Found out I got a 97 on the final 😎. Glad I remembered a lot of the R studio code because there was a lot of questions asking for the damn code 🤦🏽♂️. Testing Hypotheses was the most difficult chapter imo. Pretty tough 6 week class ngl . Now I can finally enjoy summer 😎.
Very nice .. good job! 😎
so whats your next plan ?
Great video, underrated channel! I have always fetishized the idea of studying something like this, and your video made me reconsider, that's a good thing! You do you, wish I could make this on my own channel. Deserved subscriber, greetings from Denmark!
Well we have nothing but time!
I'm a freshman at Uni for Accounting, doing my minors in Statistics, it's the same for my Uni, Calc 1-3, linear algebra, prob. stochastic, etc. I am planning to throw in a regression analysis course and time series analysis as well. Challenging, but rewarding!
That’s awesome! Best of luck
If you want to go hardcore in your statistics (Masters / phd) then inclusion of Real Analysis is definitely useful, even for the mathematical maturity.
Agreed! I didn’t go nearly hardcore I just wanted a job 😎
Statistics from the measure theoretic view really makes everything more intuitive. I think learning Analysis is really tough but once you know it, the applied statistics parts become easier to pick up. I switched to pure math as an undergrad from applied statistics for this reason.
In my second semester I have mathematical analysis and yes it was a nerve wrecking topic in the first few classes. But after some practice the topic feels doable. And I have the exam in this class in just 10 days.🙂
Best of luck! Definitely intense
Can you make a video about all the books used in this course along with alternatives
Tbh I avoided buying books if possible 😅 might be better as a short
Will you have videos on teaching different Statistics concepts and word problems?
I am not positive on that, I may test and see how everyone likes something like that .. however it would likely be data science/Analytics oriented tutorials and concepts in R or Python
can you make a video on the book used and statistical tools /software used
Maybe maybe
I have a extremely neutral to down right no Intrest towards some math topics but I really like statistics I hope I'm not the only one who has these views.
I think math is a lot more fun when you can use it in application
Taking mathematical analysis into my second year now, as well as variance analysis on the side. Do you think taking a course in Python would be a beneficial use of my time?
Hmm .. it may be really tough but as long as you can get through it definitely not wasting your time
can you give study tips on how to study for statistics classes? what helped you succeed and what failed?
I really didn’t spend like all my time doing homework or anything, the main thing that helped was to do just a little bit every day.. just seeing it every day really really helps
I would also watch concept videos for a lot of probability stuff.. because at first it made ZERO sense to me 😂
@@ChristianGardner Ah ok Thanks. My uni only has 1 probability professor and he has a 1/5 in ratemyprof, really bad professor. Are there any books or youtube channel you can recommend me so when I take it I dnt have to strangle myself to understand it. :)
@@ImPewPew4 hmm I used Khan Academy a lot, but other than that I’m not too sure … I’m sorry 🙁
Yeah, linear algebra is little boring if you've bad instructor and in my case it's same . I personally felt class was disconnected.
Yes definitely
Do we need alot of combinatorics and discrete math for Stats?
Yes, those topics are important in probability
No discrete math nor real analysis? I had to take discrete math for my stats minor and I'm not a stats major but my uni requires real analysis for the statistics degree.
I was applied statistics so didn’t have to get too deep into that shiz 😂
If I want to become a data scientist in the future what major should I take?
Some combination of computer science with statistics/math/data science minor would be my recommendation.. a graduate level degree would probably be necessary
@ChristianGardner thanks for you suggestions. Can u explain y it is better to take CS as a major and data science as a minor?
how many semesters did you take on mathematical statistics
I guess just one but used the concepts in other courses as well
hey chris .... i did b.sc in statistics.... i wanna do masters in statistics... could you plz make a vedio for top10 schools for masters in statistics in USA..
I’m gonna be honest you’d be far better off looking into that on google and going by your own standards and what you are looking for … I MAY make a video like that in the future but it’s so personal to you that I think it would be better if you made that sort of decision for yourself!
@@ChristianGardner i asked because i am from india .... just wanted to know if only MIT Harvard Stanford are the best..... because you are a US citizen and a stats guy ...
@@pragatitomar90 I hear good things about UCLA and I can always recommend my Penn State University
@@ChristianGardner thanks Chris.. are you at linkdin?
Please suggest me some best books for statistical inference
Can’t help you there
A very popular text is Statistical Inference by Casella and Berger. I would suggest going through First Couse in Probability by Ross and Advanced Calculus by Buck before starting this book, as it assumes some pre requisites.
No measure theory?
Not mine, 🫡
I love doing hard things.... statistics, lol...idk
Yes sir lots of math and I'm still bad at it ha
😅 steady improvements
aftrer mathstats im taking anova right now following your order, and they are talking about factors, factor levels, ramdo errors etc does one need to take a factor analysis theory course prior to anova?
I don't like math, but I end up doing lots of it lol.
What major you in?
@@ChristianGardner Statistics lol. Well I'm going to be a freshman but I ended up taking just about every math course in high school except calculus 3.
@@saberspeed77 you will have a tough time if you don’t like math then 😅
Soo, don't do Statistics? Got it.
I got through it
@@ChristianGardner Yeah, you did, *sigh*
I like Statistics, but I've been trying and failing math for the better part of a decade, I just don't know...
Is that all the Math I'd have to do in Statistics?
@@alltheworldsastage4785 for the most part, yes
@@ChristianGardner Okay, thanks, I'll look into it more.
@@alltheworldsastage4785 best of luck with whatever you decide!
The set-up in the back be looking kinda fire 🔥
Aye thanks 😎 just picked up a couple cheap lights and it turned out pretty cool I think
aftrer mathstats im taking anova right now following your order, and they are talking about factors, factor levels, ramdo errors etc does one need to take a factor analysis theory course prior to anova?
I have never taken a factor analysis theory class, but have taken anova.. I don’t think it would be necessary but could help in understanding theory behind why you are doing what you are doing