I have the same book. It's not a great book to learn statistics unless you have a background in mathematics. Go for Introduction to Statistics and Data Analysis by Heumann because it lays down a great groundwork for learning statistics and probability and you will learn the same topics without skimming over important concepts. I consider Statistics for Data Science as more of a reference on the job.
This book requires at most a high school background in mathematics. It's much less intense than standard texts in statistics or ML. If someone struggles with this they might be in the wrong industry, or at least they're still a really long ways away from their goal.
Mastering Statistics and Data Science requires diligent effort. My journey included a 4-year Math and Statistics degree, followed by a 2-year Data Science master's. Personal study is key for Mathematics, while Computer Science can be relatively easier to grasp. So, study HARDER! No rush! You cannot deeply understand Maths by easier way.
@@niraj7616 Essential skills for data science include Statistics (hypothesis testing, regression, ANOVA), ML techniques (linear, non-linear, logistic regression, KNN, K-means), SQL for database manipulation, and proficiency in either Python or R. A strong mathematical background is crucial. Data analysis is common, but ensuring result reliability and tailored inferences for business needs is rare...
For Probability there is a book by Purdue University Professor, Introduction to Probability for Data Science by Stanley H. Chan which is great for learning Probability for Data Science and is for Absolute Beginners.
The only thing that I like from that book is that it makes a clear distinction between classical statistics that heavily relies on the central limit theorem as its cornerstone, and a more modern statistics that make use of computers and resampling concepts such as bootstrap and permutation. However the explanations from that book are very poor and superficial. I had always to read other books to make sure I fully understand the concepts.
@@tylerbertsch5630 1- Probability and statistics for engineers and scientists by Walpole and collaborators. 2- Introduction to the Bootstrap (Chapman, etc.). Also the book that the girl from the video mentioned provides recommended lectures at every chapter. Although I haven't read it, one that recommended many times is: 3-Introductory statistics and analytics: A resampling approach, by Peter Bruce. I suppose that book tries to connect classical statistics with modern concepts such as permutation and Bootstrap. In any case the first book on my list (Walpole) is a very dense and detailed book. I would start with that one.
Absolutely stunning work; it reminds me of a book with similar astonishing insights. "AWS Unleashed: Mastering Amazon Web Services for Software Engineers" by Author Name
Thanks for telling us about this book. If I knew this during my masters, I’d have been in a better spot 😅. Though i gave up on finding a job in data science. Data analyst jobs are more in demand today and also easier bar of entry compared to data science jobs. Spent 6 months applying and only rejections because even entry level positions preferred people with experience
@@shiwangee yea. Entirely different. Only similar thing is u need to know some concepts of DS but its focused more heavily on existing data. No predictions
@@boejiden7093 oh okay! Is it easy n possible to get jobs after completing graduation n then getting through the course of data science or data analysis?
A great book to start Data Science! But it requires that you already know R... It's almost -if not- contradictory, I mean Who knows R that learnt it without statistics?! Thus the mentioned book is NOT for starters
Fantastic video! Books are the foundation of a successful data science journey, and your recommendation nails it. If you're eager to level up your stats skills, reach out anytime. I specialize in stats and research support, ready to guide you through the data world. Let's embark on this journey together! 📊📚💡
Diversity hirings are usually afraid of others making it and hence try to scare off as many people as they can. Happens in every field these days. Also, never seen a person actually good at their, demotivating others or trying to keep them away from a certain field.
One thing wish we had covered in college was the difference between causal inference and predictive models. For example, you can run a similar regression with same variables for both models but interpretation is different.
O’Reilly has another book very similar called “Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python”. The copy I have is a second edition and there’s a crab 🦀 on the cover. It uses both languages
This really isn't a good book. The coverage of statistics is very superficial with no real insight. And then the author, very annoyingly, keeps dismissing statistics as almost irrelevant for data scientists in the computer age. Then why on Earth did you write the book?
Hii mam, can you please guide me, Actually, I am in 2nd year Bsc(pcm),Am i late to start this,What should I have to do now, How to start from scratch,does any degree needed for this, how i get job at an entry level,Please help me🙏🙏🙏
Sir, as a non tech background Student willing to ace the best of data science..is it really possible to be as competible as a technical engineer..how?please help I have been facing A lot of confusion
@@axel_r_ because Python is more popular and let’s say if I were to switch jobs, the chances of the new team/company coding on python are higher than R. So it’s less learning curve for me when job switching. That being said, both get the job done so you can’t go wrong with either.
Please suggest one, I have done my bsc in statistics and now I want to apply for jobs but before that I need a more practical statistics book to brush up my practical knowledge on statistics. Thanks 🙏
Hey ma'am how are you I'm starting my career as a data scientist please help me your knowledge more than sufficient for me are you interested to help me please mail me plz
Наука
I have the same book. It's not a great book to learn statistics unless you have a background in mathematics. Go for Introduction to Statistics and Data Analysis by Heumann because it lays down a great groundwork for learning statistics and probability and you will learn the same topics without skimming over important concepts. I consider Statistics for Data Science as more of a reference on the job.
Thanks a lot for this comment! I found a hidden gem :)
Thanks for comment
Thanks for sharing
This book requires at most a high school background in mathematics. It's much less intense than standard texts in statistics or ML. If someone struggles with this they might be in the wrong industry, or at least they're still a really long ways away from their goal.
Thank you for sharing this comment.
Mastering Statistics and Data Science requires diligent effort. My journey included a 4-year Math and Statistics degree, followed by a 2-year Data Science master's. Personal study is key for Mathematics, while Computer Science can be relatively easier to grasp. So, study HARDER! No rush! You cannot deeply understand Maths by easier way.
What topics should some1 study if they have a degree or no degree
@@niraj7616 Essential skills for data science include Statistics (hypothesis testing, regression, ANOVA), ML techniques (linear, non-linear, logistic regression, KNN, K-means), SQL for database manipulation, and proficiency in either Python or R. A strong mathematical background is crucial. Data analysis is common, but ensuring result reliability and tailored inferences for business needs is rare...
i dont think so having strong math i s necsassry but having some 45 percent knowledge of math is enough @@bryanparis7779
@@bryanparis7779where did you get your master degree ?
@@diazjubairy1729 In the department of Mathematics in one of the universities in Greece
She says this when the book has no labels or markings and looks brand new😂
😂😂 real
For Probability there is a book by Purdue University Professor,
Introduction to Probability for Data Science by Stanley H. Chan
which is great for learning Probability for Data Science and is for Absolute Beginners.
My Java, system engineering and networking books have always put me to sleep so i was well rested for my exams :´D
hahahaha
started reading/following this book today. And it's really good so far
The only thing that I like from that book is that it makes a clear distinction between classical statistics that heavily relies on the central limit theorem as its cornerstone, and a more modern statistics that make use of computers and resampling concepts such as bootstrap and permutation. However the explanations from that book are very poor and superficial. I had always to read other books to make sure I fully understand the concepts.
Which books would you recommend?
@@tylerbertsch5630 1- Probability and statistics for engineers and scientists by Walpole and collaborators. 2- Introduction to the Bootstrap (Chapman, etc.). Also the book that the girl from the video mentioned provides recommended lectures at every chapter. Although I haven't read it, one that recommended many times is: 3-Introductory statistics and analytics: A resampling approach, by Peter Bruce. I suppose that book tries to connect classical statistics with modern concepts such as permutation and Bootstrap. In any case the first book on my list (Walpole) is a very dense and detailed book. I would start with that one.
@@christianm4906 thanks so much!
As you mentioned the book name
Which book explain with python?
Thank you! I love your videos ❤
Thank you for sharing!
I understand the comments about Python. I will say, R is very underrated.
I can completely vouch for this
Most appreciated 😊
Thanks!
The book is complex and hard to understand unless you have a strong background in math. Not everyone is at an intermediate level.
As a person wrapping up my undergrad in math, sounds like this is the book for me.
Absolutely stunning work; it reminds me of a book with similar astonishing insights. "AWS Unleashed: Mastering Amazon Web Services for Software Engineers" by Author Name
Thank you
Thnks.
Thanks for telling us about this book. If I knew this during my masters, I’d have been in a better spot 😅. Though i gave up on finding a job in data science. Data analyst jobs are more in demand today and also easier bar of entry compared to data science jobs. Spent 6 months applying and only rejections because even entry level positions preferred people with experience
Hey clown
@@AshishSingh-753 sah dawg
Data analyst course is different from that of data science?? Like the topics taught
@@shiwangee yea. Entirely different. Only similar thing is u need to know some concepts of DS but its focused more heavily on existing data. No predictions
@@boejiden7093 oh okay! Is it easy n possible to get jobs after completing graduation n then getting through the course of data science or data analysis?
I forgot I had this
Really mam you are inspiration to us😊
Book looks brand new tbh
A great book to start Data Science! But it requires that you already know R...
It's almost -if not- contradictory, I mean Who knows R that learnt it without statistics?! Thus the mentioned book is NOT for starters
Thanks ❤
I love that book
*you, like me*
DS ❤️
roadmap for data analize
Hi Sundas, Your journey is inspiring to me. Btw could you pls recommend a one thats based on python rather than R??
The new edition has it with both Python and R
Can anyone tell which book or topics to focus for mathematics part for data science journey for a beginner and that too from scratch ?
Any thoughts on Stanford's Statistics courses via Coursera? I just registered for the class as part of learning to become a data analyst. Thanks!
Road map for Machine Learning
Hi could you please whether you finished everything in the book or covered some of the book and which are those topics plz
@SundasKhalid can you please tell me which topics in maths and statistics are need to be covered specially for DATA ANALYST job profile
Does require that you know R... "AND LINEAR ALGEBRA"!!!!
Fantastic video! Books are the foundation of a successful data science journey, and your recommendation nails it. If you're eager to level up your stats skills, reach out anytime. I specialize in stats and research support, ready to guide you through the data world. Let's embark on this journey together! 📊📚💡
That book is too shallow, I would start with Introduction to Statistical Learning (Springer)
Can you please suggest a good book for Datascience using python?
udemy
@@NANA-gy7yx😢
Data science from scratch by joel grus
&
Machine learning engineering with python By andrew p mcmohan
❤
Can you suggest Data science books that Product Manager should refer to? When PM has engineering background and understands Statistics.
Statistical Learning Theory - Vladimir Vapnik - 😂 an easy one
But u need to learn panda first?
Is int it?
Diversity hirings are usually afraid of others making it and hence try to scare off as many people as they can.
Happens in every field these days.
Also, never seen a person actually good at their, demotivating others or trying to keep them away from a certain field.
Does it has exercices?
Kindly provide the link aa well. 🙏🙏
Can I get this pdf?
guys let me tell you you need to have good enough experience in R in order to find this useful, honestly
I focused somewhere else in this video 🤫🌚
What about statistical learning
Please snd this book details
How many things will a person learn. Python. Data science. Web design. Python alone is like forever. -#sigh
I am really new , so what's R ?
You resemble bluff masters
One thing wish we had covered in college was the difference between causal inference and predictive models.
For example, you can run a similar regression with same variables for both models but interpretation is different.
You look gorgeous when getting up
You look sleepy Sundus “Hanim”… sleep early / wake up early… my dear
Great book but costly (
Is it helpful if i dont want to learn R ?
What is your birth country???? from where you migrated
Wrong: No Starch Press Deep Learning Mathematics. Best. But, you have to finish textbook on business statistics too.
Those tech eyes 😅
Thanks for sharing the book.
Hey Sundas, can you suggest the Statistics book with python because this book contains R programming language
O’Reilly has another book very similar called “Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python”. The copy I have is a second edition and there’s a crab 🦀 on the cover. It uses both languages
@@gabbyparr6099 thanks and any good book for Machine Learning and Deep Learning to start from zero to proficient
DS having no job but highly pressure exerting job
You are beautiful ❤
A question is, why would you like to learn "fast"?
Love to see topics from a statistics book be paragraphs instead of formulae because that's how you should be learning the math behind anything. /s
Italiano?
Are boot camps worth it?
Writer ??
This really isn't a good book. The coverage of statistics is very superficial with no real insight. And then the author, very annoyingly, keeps dismissing statistics as almost irrelevant for data scientists in the computer age. Then why on Earth did you write the book?
Save your money, ask GPT.
What is the best way to learn python and sql?
W3 school
Udemy
Hii mam, can you please guide me, Actually, I am in 2nd year Bsc(pcm),Am i late to start this,What should I have to do now, How to start from scratch,does any degree needed for this, how i get job at an entry level,Please help me🙏🙏🙏
Why? There's no DS jobs anyway.
Why?
Sir, as a non tech background Student willing to ace the best of data science..is it really possible to be as competible as a technical engineer..how?please help I have been facing A lot of confusion
yes you can... once you get in to the field there is no non-tech / tech-student.... grind hard
she faked so much, looks like she knew everything about it, so called educational influencer
Can u suggest some books for beginners
What is your math ability?
You know R, Sundas?
Yes I learned R before I learned python. But if I were to do it again, I’d choose to learn python first
@@SundasKhalid I appreciate Python, but I love R.
@@SundasKhalid Why Python before R?
@@axel_r_ because Python is more popular and let’s say if I were to switch jobs, the chances of the new team/company coding on python are higher than R. So it’s less learning curve for me when job switching. That being said, both get the job done so you can’t go wrong with either.
_Id like to know y these books always have animal on their cover_ .
there are other books to learn statistics for data science much better that this one that you are promoting.
Please suggest one, I have done my bsc in statistics and now I want to apply for jobs but before that I need a more practical statistics book to brush up my practical knowledge on statistics. Thanks 🙏
Not at all a good book. Its just like high level notes.
Hey, cuty, can u please send me link step by step understanding to become data scientist???
Are you married?
Why is there a crab on the book of statistics?? 🙂
It´s a campaign of the publisher. Their Data Science books feature covers with endangered animals. That crab is one of those endangered species.
O'Reilly like animals i think
why do you look soo beat up lol
Do you act goofy on purpose? You need to flip the image so the book is shown correctly 😂.
Meanwhile me: Why the fcuk is she holding that book wrong ?💀💀💀
Hey ma'am how are you I'm starting my career as a data scientist please help me your knowledge more than sufficient for me are you interested to help me please mail me plz
Can you please refer a book for beginners those who are from non tech @sundaskhalid
Dear can I have your email so we could share experience with each other