Practical Statistics for Data Scientists - Chapter 1 - Exploratory Data Analysis
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- Опубликовано: 21 авг 2024
- PRACTICE STATS, SQL, AND PYTHON HERE: stratascratch....
Patreon: / shashankkalanithi
This is an overview of Chapter 1 of Practical Statistics for Data Scientists. I'll be going over the first couple of chapters of this book because the later chapters cover similar materials from my Hands on Machine Learning book overview videos.
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Twitter: / kalamari95
LinkedIn: / shashankkalanithi
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 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!
This is success when some foreigners as well as Indians want to learn from you and yours channel
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!!!
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.
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.
I have the same book! Recently I started learning. I will keep watching your channel.🙂 please continue this series 🙏
You're really good at explaining things and speaking clearly. I appreciate this content very much
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
Hi Tolulope, would you like to join a study group?, I’m starting on Data engineering.
@@d4tset785 what does data engineering do?
love your channel and love how your going through the different books.
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
Thanks. Wanted exactly this kind of a video to actually grasp what we read.
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?
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!
This video is pure gold for every data scientist. Thank you.
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
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!
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.
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.
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)
Awesome stuff, No hesitation whatsoever in becoming a patreon
Thank you so much for the support!
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 !!
Very useful video Shashank Kalanithi. Thank you sharing your knowledge.
I really like the way you've made notes on the book!
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.
Damn I could not have gotten a better time to find this channel! The quality and content is really good dude :)
For the weighted median you can use the weightedstats library btw
Could you create a statistics playlist and cover these things under it??
High quality tutorial as always! Thank you. Keep the good job!
Thank you!!! So much better than reading the book.
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 :)
3:34 my weight is down after watching this video, thanks
I love your videos and the way you explain things is so good. Keep it up.
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?
At 59:26 youre like... "oh.. interesting..." -- and then a moment of relief when you saw it was C++ not Python, haha
been using pandas for a while, just learned what it stands for lol
Exactly what I need right now
Thank you so much!
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
Hey Shashank, any difference between a data analyst and a data scientist?
Not a crib comment but 1:01:40 in a bar chart you exchanged ylabel and xlabel.
Subscribed, please cover Multivariate Statistics after this 😊
Please keep this going!
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!
Practical Statistics for Data Scientists, Do you prepare only chapter one or there's other chapters that you prepare? Continue the good work.
at 46:44 when looking at boxplot - you used "outlier" - perhaps better to say "suspected outlier"?
I'm on the third chapter of this book
Eagerly waiting for the video on next chapter Shashank!
I had to change the video speed to 0.75x. I think learning can be improved by instructing at natural human conversation speed.
He probably sped his video up a bit
Jajaj
Here's me watching it at 1.75x
@@towfiq2266 You may be having some knowledge on this matter. If you are a freshman in this field and can absorb the information at the speed you have indicated, kudos 👏 to you.
Thats what happens when indians move to the west theyre that guud
Do I need to become proficient in Python before exploring Data Analytics or Data Science?
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!
I want to thank you for this video, and I have a Question and order:
Q: I understand how to calculate the Weighted average but I want to know what is number 46.83 refers I think that the normal AVG is better in this situation I know that you make the example to explain the function but I want to go deep and ask when to use weighted AVG or only normal AVG.
my order: can you share your notes.
Excellent explanation! subscribed for life!
Thank you so much for the kind works Abisai!
Thanks for sharing this , great 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.
I am going to cover this playlist...please keep bringing
just to say, Hello from Brazil!
I know it is pretty hard to change the way one speaks. I am not talking so much about your voice or the majority of your speech. I am only focused on your saying, um, uhh, and the likes of the space holders. You can just mute these in your edits. This will make your videos near perfect. You have great content. I thought I would just add my 2 cents. Keep up the great work.
Excellent Work Sir
Great Work Please Make more videos on this book
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
Thank you for another book learning!
Thank you for these videos!
Hey Shashank
Great Work 👍
Great initiative 👍👍
Great video and thanks for putting up
It's really helpful.. nice work.. please share us more on statistics for data science, AIML..
There videos are the best.
I'm thinking about buying this book...but I heard the python code isnt that good, although the stat concepts are explained really well
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 .
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?
this is what i need
Awesome video!!
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
Thank you. You are wonderful
Thank you dude !
Dude I just bought this book and was pretty surprised it was in R ! Your video is of great importance !! Thank you so much ! Awesome job!
Why did you use such a complex function to determine weighted median if we could do it simply:
fraction = medal_count.Gold/medal_count.Total*100
medal_count[fraction == np.median(fraction)]['Total'].iloc[0]
this give the same result of 40 :)
Please make the rest of chapters !! IT WAS AWESOME!!!! 😍
thank you sir 🙏. Great video 🙂
Great vid bud
what a beautiful content
very useful. pls continue
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
Do you have any video that say why you decided it to become a data scientist?
Just stunning!
Could you make video about a book "story telling with data" by Cole Nassbaumer Knaflic
Good one.. Thank you....
Great video good job 👍
Great video
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
Amazing class
dude you're amazing :)
New here!! Hope I can learn something
Can you please share your notes
Hi really great video but if you can kindly add time steps across the video with topic names that would be really helpful
👌 quality content
I needed this 1 semester ago :((
Thank you for your amazing videos! Can you please do some videos and just tell us what to study as a beginner and how to study and practice. I'm new to data analyst and your advice and tips will truly help new people like me that just getting started :) thank you
Start with excel sheets, then master Sql and select one visualisation tool among Tableau, powerbi or quicksight. These skills are more than enough to open doors for plethora of jobs around you as an entry level data analyst. Once you get in job...upskill yourself by learning Python and its libraries like pandas. Then slowly transition to Data scientist role by learning advanced mathematics. All the best !!
Can anyone tell me why the variance differs when I use numpy and then when I use Shashank's method.
What is alternative of power pivot in excel for data analysis. Because excel 2016 home student doesn’t provide power pivots and for to buy it is much cost, is there any alternate to do analysis ?
R and Python are great alternatives that are widely used in industry. Personally I'm in favor of Python.
Hi Shashank, thanks for video, can you please let me know what application you are using for Note? Thanks