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.
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?
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.
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?
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
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.
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! 📊📚💡
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
@@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.
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
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
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
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 🙏
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🙏🙏🙏
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.
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.
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?
Statistical Learning Theory - Vladimir Vapnik - 😂 an easy one
_Id like to know y these books always have animal on their cover_ .
She says this when the book has no labels or markings and looks brand new😂
😂😂 real
To be honest a lot of the books I’ve read have no markings as well. It bugs me if there are creases or markings lol
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
My Java, system engineering and networking books have always put me to sleep so i was well rested for my exams :´D
hahahaha
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.
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?
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.
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
That book is too shallow, I would start with Introduction to Statistical Learning (Springer)
she faked so much, looks like she knew everything about it, so called educational influencer
Oreilly is my fav publisher they are just simple in detailed
And i dont know why they put picture of animals on their cover
Can you help with a well structured map to learning Data Science & it’s tools
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?
Can you suggest a book for data analytics?
I understand the comments about Python. I will say, R is very underrated.
You are beautiful ❤
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
Why? There's no DS jobs anyway.
Why?
I forgot I had this
*you, like me*
DS ❤️
How many things will a person learn. Python. Data science. Web design. Python alone is like forever. -#sigh
Learn what is necessary
started reading/following this book today. And it's really good so far
But u need to learn panda first?
Is int it?
Wrong: No Starch Press Deep Learning Mathematics. Best. But, you have to finish textbook on business statistics too.
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!
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.
@SundasKhalid can you please tell me which topics in maths and statistics are need to be covered specially for DATA ANALYST job profile
Future of software engineer. Software engineer is good or not please reply me
You look sleepy Sundus “Hanim”… sleep early / wake up early… my dear
Future of software engineer. Software engineer is good or not in future please reply me
DS having no job but highly pressure exerting job
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! 📊📚💡
What is your birth country???? from where you migrated
guys buy second edition because it covers the R and python
Can anyone tell which book or topics to focus for mathematics part for data science journey for a beginner and that too from scratch ?
guys let me tell you you need to have good enough experience in R in order to find this useful, honestly
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!
Not at all a good book. Its just like high level notes.
I focused somewhere else in this video 🤫🌚
Thnks.
Italiano?
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.
Are boot camps worth it?
Save your money, ask GPT.
Kindly provide the link aa well. 🙏🙏
A question is, why would you like to learn "fast"?
I am really new , so what's R ?
You look gorgeous when getting up
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
Can I get this pdf?
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
You resemble bluff masters
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
#top book
What about statistical learning
Road map for Machine Learning
Are you married?
Book looks brand new tbh
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 🙏
Does it has exercices?
Great book but costly (
What is the best way to learn python and sql?
W3 school
Udemy
Writer ??
Thank you
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
Hi could you please whether you finished everything in the book or covered some of the book and which are those topics plz
Is it helpful if i dont want to learn R ?
second edition covers the python
Please snd this book details
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🙏🙏🙏
Most appreciated 😊
Can you suggest Data science books that Product Manager should refer to? When PM has engineering background and understands Statistics.
Those tech eyes 😅
Thanks for sharing the book.
roadmap for data analize
I love that book
Thanks ❤
Can u suggest some books for beginners
What is your math ability?
I can completely vouch for this
Thank you! I love your videos ❤
Thank you for sharing!
Really mam you are inspiration to us😊
why do you look soo beat up lol
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
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.
Dear can I have your email so we could share experience with each other
Do you act goofy on purpose? You need to flip the image so the book is shown correctly 😂.
Hey, cuty, can u please send me link step by step understanding to become data scientist???
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
Meanwhile me: Why the fcuk is she holding that book wrong ?💀💀💀
Can you please refer a book for beginners those who are from non tech @sundaskhalid