Thank you Shashank, I followed your data analyst roadmap and I was able to get a job as a data analyst even before completing all the recommended topics to go through. I forgot about it in the last couple of months. I am currently learning machine learning but felt that I don't really knew much of statistics and it became a limiting factor in learning ml. thank your for this video on stats. :)
I haven't watched your video yet but I'm just commenting for the algorithm because you're such a life saver. I'm currently going through your road map. I'll comment again once I've seen the whole video though!
why would you take the time to do this? You are such a kind soul!!! Thank you so much! I can't believe that your teaching this book! Patreon subscribed!!!
i was gonna pay a statistician for explaining to me the data interpretation of the difference between the average and the trimmed mean 60$ per hour, and then i found your video. The best thing is that I am also reading this book. What a great source. Thank you.
I just started following you few hours ago, I can tell that your channel is very practical Thank you for sharing hands on knowledge with us, I value and appreciate it. Keep it up
I recently discovered your channel and I wish I would have found it a while ago. I wish to become a data analyst, soon. I don’t have experience (which I know and hope to change that soon) but I’m trying to obtain as much knowledge, tips and resources as I can and your channel has been helpful. I thank you for that.
Statistics is my weakness. So happy you are covering this! I always get motivated when I watch your videos, you have a way of explaining complicating things in a simple way.
46:28 correction an outlier is 8 or more not 10 because the box plot went to 7,5 and the first outlier was 10 (that's why he made the mistake). Since you can't get half a gold medal, when a country gets 8 medals, the country starts to become an outlier.
I need to comment more on your videos, they help me so much. It slips my mind but I’m working on it. Take that algorithm!!! Also thanks Shashank for pushing these videos out so quickly and sticking to your word. I remember you said you’d start these in a week and you posted Chapter 1 within days. Very Inspiring brother
Hello Shashank, I am a student from Russia, currently on my first year of university. I discovered your channel couple mohtns ago and literally every video i have seen since then was awesome! Thank you so much! My dream of becoming a data analyst is becoming more and more real. Keep going!
This is what I need! I'm going over stats with Khan Academy right now and this is going to be a great supplement to that. Thanks again for these videos as always!
Awesome vid Shashank. I took an elementary statistics class in my community college but I finished the first chapter and it covers some very useful metrics and visualizations. Thank you so much for spreading the knowledge at no cost.
Great video! Hope you're doing well settling in to the new place in Seattle. I am also a big Seaborn fan. I will have to check out plotly after how highly you recommend it!
Indices IS the correct form of the word....."Indexes" iq an Americanization.......not typically used in English-speaking countries, outside the USA. (Also, maybe in Canada as they use a combination of English and American English)
Providence is basically the only city in RI…lol. Lots of small cities and towns. And then there is Block Island, which is the best kept secret on the east coast.
Suggestion, Please keep your explanations simple and clean and please slow down little bit. Every learner here have patience if you are not too fast/slow but good in explaining. sometimes I lost you. :) I found that the explanation in the boot much better, Also when you are giving a reference of other web site, please provide URL. btw thanks for the video and it really helpful at some level.
Great work! As you have made video playlist on machine learning by O'reilly publication and currently working on another book of their publication i.e " practical stats for Data Scientists" Kindly start series on: Book: Python for Data Analysis Same O'reilly publication
Great question! While you're right out-the-box R has much stronger stats abilities than Python, a lot of that gap is closed through commonly used third party libraries in Python. Because I an building my Data Science career on Python, my channel usually focuses on the use of Python to accomplish tasks. That being said, I always say R is a tremendous and widely accepted language in the Data Science community.
notes are really helpful and the video is very informative. can u tell me what software you are using on the left side of the screen, it will be help me making my personal notes too. thank you
![Noob To Max With DRAGON REWORK In Blox Fruits [FULL MOVIE]](http://i.ytimg.com/vi/LnBMOinoOvA/mqdefault.jpg)
I'm just starting a Data scientist apprenticeship, I just came across this. And I appreciate it so much
Thank you Shashank, I followed your data analyst roadmap and I was able to get a job as a data analyst even before completing all the recommended topics to go through. I forgot about it in the last couple of months. I am currently learning machine learning but felt that I don't really knew much of statistics and it became a limiting factor in learning ml. thank your for this video on stats. :)
how long did it take you?
This is success when some foreigners as well as Indians want to learn from you and yours channel
I haven't watched your video yet but I'm just commenting for the algorithm because you're such a life saver. I'm currently going through your road map. I'll comment again once I've seen the whole video though!
why would you take the time to do this? You are such a kind soul!!! Thank you so much! I can't believe that your teaching this book! Patreon subscribed!!!
i was gonna pay a statistician for explaining to me the data interpretation of the difference between the average and the trimmed mean 60$ per hour, and then i found your video. The best thing is that I am also reading this book. What a great source. Thank you.
You're really good at explaining things and speaking clearly. I appreciate this content very much
I just started following you few hours ago, I can tell that your channel is very practical
Thank you for sharing hands on knowledge with us, I value and appreciate it.
Keep it up
Hi Tolulope, would you like to join a study group?, I’m starting on Data engineering.
@@d4tset785 what does data engineering do?
Thank you!!! So much better than reading the book.
Technically not a strenuous subject but deriving meaning and reasoning from EDA is another thing! Great video!
This is the comment!
I recently discovered your channel and I wish I would have found it a while ago.
I wish to become a data analyst, soon. I don’t have experience (which I know and hope to change that soon) but I’m trying to obtain as much knowledge, tips and resources as I can and your channel has been helpful. I thank you for that.
Maybe we can work together because we on the same page
Hi Steve and George, are you interested in making a study group? We can discuss and learn from each other.
@@nijagunadarshan2529 that would be a great idea i think if we learn from each other it will quicken the process and will keep us motivated
pls make a study group
@@Bhatt4924 ok i will make one just give me by end of day and will send you link
Statistics is my weakness. So happy you are covering this! I always get motivated when I watch your videos, you have a way of explaining complicating things in a simple way.
love your channel and love how your going through the different books.
this book has been on my to read list for a while, glad to see someone covering and explaining it
it is a such a low quallity book , I dont consider it as a book more as a annotation.
Thanks. Wanted exactly this kind of a video to actually grasp what we read.
I really like the way you've made notes on the book!
I have the same book! Recently I started learning. I will keep watching your channel.🙂 please continue this series 🙏
46:28 correction an outlier is 8 or more not 10 because the box plot went to 7,5 and the first outlier was 10 (that's why he made the mistake). Since you can't get half a gold medal, when a country gets 8 medals, the country starts to become an outlier.
I need to comment more on your videos, they help me so much. It slips my mind but I’m working on it. Take that algorithm!!! Also thanks Shashank for pushing these videos out so quickly and sticking to your word. I remember you said you’d start these in a week and you posted Chapter 1 within days. Very Inspiring brother
Hello Shashank, I am a student from Russia, currently on my first year of university. I discovered your channel couple mohtns ago and literally every video i have seen since then was awesome! Thank you so much! My dream of becoming a data analyst is becoming more and more real. Keep going!
Hello there, are you a beginner if so can make a study group?
This video is pure gold for every data scientist. Thank you.
This is what I need! I'm going over stats with Khan Academy right now and this is going to be a great supplement to that. Thanks again for these videos as always!
Awesome vid Shashank. I took an elementary statistics class in my community college but I finished the first chapter and it covers some very useful metrics and visualizations. Thank you so much for spreading the knowledge at no cost.
Of course! I spent way too much on my college education so want to help spread knowledge as cheaply as possible
God bless you! What a sweet heart you are! Thank you Very,very much!
Very useful video Shashank Kalanithi. Thank you sharing your knowledge.
Awesome stuff, No hesitation whatsoever in becoming a patreon
Thank you so much for the support!
at 46:44 when looking at boxplot - you used "outlier" - perhaps better to say "suspected outlier"?
For the weighted median you can use the weightedstats library btw
Thanks for making a video on this book ..... I am thinking of starting to read this book.
It's a great book! Thanks for checking out my video Mahar!
Thank You for such a useful video. It do helped me alot. Moving ahead to Chapter2 now with the help of your video.
Thanks a ton !!
I am going to cover this playlist...please keep bringing
Excellent explanation! subscribed for life!
Thank you so much for the kind works Abisai!
Damn I could not have gotten a better time to find this channel! The quality and content is really good dude :)
Thanks for sharing this , great job !
Not a crib comment but 1:01:40 in a bar chart you exchanged ylabel and xlabel.
Could you create a statistics playlist and cover these things under it??
I love your videos and the way you explain things is so good. Keep it up.
Please keep this going!
Great video and thanks for putting up
Great Content Can't wait for the subsequent chapters... ALSO thanks for going over your search methods online very useful...
Thanks so much, the next video is out now :)
Hi Shashank, per the book: you can run the .value_counts() method on the pd.cut() result and it'll get you the proper Frequency table.
Great video! Hope you're doing well settling in to the new place in Seattle. I am also a big Seaborn fan. I will have to check out plotly after how highly you recommend it!
Indices IS the correct form of the word....."Indexes" iq an Americanization.......not typically used in English-speaking countries, outside the USA. (Also, maybe in Canada as they use a combination of English and American English)
Where can I find a link to the notes? I can't find them in the description below the video. Great video and thanks for the help!
It's in his Patreon
Eagerly waiting for the video on next chapter Shashank!
Exactly what I need right now
Thank you so much!
High quality tutorial as always! Thank you. Keep the good job!
thank you sir 🙏. Great video 🙂
Thank you for these videos!
I really want to join this series because i am looking for this and your explanation is well n good in just staring of video .
Great initiative 👍👍
Excellent Work Sir
Great Work Please Make more videos on this book
Subscribed, please cover Multivariate Statistics after this 😊
Thank you dude !
There videos are the best.
Providence is basically the only city in RI…lol. Lots of small cities and towns. And then there is Block Island, which is the best kept secret on the east coast.
Hey Shashank
Great Work 👍
Suggestion, Please keep your explanations simple and clean and please slow down little bit. Every learner here have patience if you are not too fast/slow but good in explaining. sometimes I lost you. :) I found that the explanation in the boot much better, Also when you are giving a reference of other web site, please provide URL. btw thanks for the video and it really helpful at some level.
Great vid bud
Thank you. You are wonderful
Good one.. Thank you....
dude you're amazing :)
👌 quality content
Thanks a lot for sharing the knowledge:))
Are we going to have the rest of book??? Doing something like this really helps us newbies.....do you intend to do the rest of the book?
Just used your link to buy 3 books off of Amazon, thank you so much for sharing your content!
Thanks so much for the support Billie! Hope you find them useful
just to say, Hello from Brazil!
Hey Shashank, any difference between a data analyst and a data scientist?
Thank You,
Glad to find your channel.
by the way, what apps you use to make the note?
Notion! It’s a great note taking tool
this is what i need
3:34 my weight is down after watching this video, thanks
what a beautiful content
very useful. pls continue
Awesome video!!
I'm on the third chapter of this book
It's really helpful.. nice work.. please share us more on statistics for data science, AIML..
Great work!
As you have made video playlist on machine learning by O'reilly publication and currently working on another book of their publication i.e " practical stats for Data Scientists"
Kindly start series on:
Book: Python for Data Analysis
Same O'reilly publication
Great video good job 👍
I have a question... you speak about statistics in data analytics... why not using R much stronger than the general python language
Great question! While you're right out-the-box R has much stronger stats abilities than Python, a lot of that gap is closed through commonly used third party libraries in Python. Because I an building my Data Science career on Python, my channel usually focuses on the use of Python to accomplish tasks. That being said, I always say R is a tremendous and widely accepted language in the Data Science community.
notes are really helpful and the video is very informative. can u tell me what software you are using on the left side of the screen, it will be help me making my personal notes too. thank you
Thank you for another book learning!
Do you have any video that say why you decided it to become a data scientist?
been using pandas for a while, just learned what it stands for lol
where from we get that dataset ,you not mentioned any link here.sir
What is that IDE you are using? I see "ipynb" - some kind of python notebook? Jupyter?
This sound silly, but did you make those notes from the book? I like them better than the book! If they are available, where would I find them?
Do I need to become proficient in Python before exploring Data Analytics or Data Science?
Hey Shanshank, great video. Thanks for uploading. Keep making these videos mate.
Can I ask you to make a video on spectral data analysis. Thanks
Hi Shashank, Can you provide the link to the notion notebook? Thanks.
How to acces the book notes ??????????
Practical Statistics for Data Scientists, Do you prepare only chapter one or there's other chapters that you prepare? Continue the good work.
Sir are You gonna make video for next chapters? I mean for ch4 and ch5 ?
What is the notepad you using (on the left side of the window)?
Notion! It’s a great tool
Great video
Hi Shashank, thanks for video, can you please let me know what application you are using for Note? Thanks
Does free version of this book available ?
thank you bro , need cash bad, going this route
At 59:26 youre like... "oh.. interesting..." -- and then a moment of relief when you saw it was C++ not Python, haha
Amazing class
Can u pls share the notion link
Would be helpful to share the link for the example dataset