Thank u for ur videos. Ur a humble person. U inspire me. I too had to leave my 1st job n had a break in my career because of family problems. I have seen many of ur videos. I'm not from a tech background but I wud like to pursue a career in data science. Pls guide me. I'm a simple girl with no one to guide. Kindly help.
@@suassini Hey This is Taqi from Hyd. Kindly go ahead and start with Google Data Analytics program in collaboration with coursera, since this course is focused on begginer who don't have enough IT knowledge. as you move on in this course you will get to know how to use tools like excel, google sheets, data visualization , programming with R and if you stuck some where in any technical problems, always try to googling them and eventually you will be able to solve most of your problems on your own Ma'am..... I am also enrolled in this course but I know some programming languages from udemy which I have learned before starting my undergrad in computer science which I was forced to leave due to the ongoing pandemic and (online classes on toxic calculus & irrelevant math which is not really helpful in daily job of a data analyst or software developer) which is why I decided to set short term high value courses like coursera which are very high in demand. Lemme know if u need some more guidance Thank you
R vs. Python I actually think that this is a false dichotomy. The reality is that you as a Data Scientist in 2022 and beyond needs to be proficient in >both< R and Python. Now stop wasting time on this non-question and start actually learning them. R vs. Python Which one you pick up first depends on the environment. If you are in the private sector working in a production environment, of course, learn Python first. Now, if you are in the Statistics, academic sphere, R is the way to go. For ML, Python. Again, horses for courses. I'll note that my DS masters programs starts us out with R and then shifts to Python. The Google Analytics certificate using R. R vs. Python R and Python are tools. They are the hammer, the screwdriver. They are not the end-product. They are a means to an end, not the end itself.
Thanks for your video! I've used both extensively and honestly I like both! They're both pretty easy to use and very powerful. I'm learning R from college and Python for a personal ML project, python is definitely far more versatile beyond data science, but if you're sticking just to data science, you really can't go wrong with any one of them. I particularly like shiny in R, just helps you publish and showcase your apps pretty easily.
I started off with R almost 3.5yrs back when I was doing a lot of ML-related experiments and visualization (ggplot) since R has this wonderful suite of libraries under the Tidyverse umbrella. Recently I have switched to Python for almost over a year now, and it's really helpful for fast prototyping and I'm loving it. Although I do believe if you come from somewhat of a Stats related background you tend to use R since you have used Matlab a lot, and folks who come from SWE backgrounds have more affinity towards object-oriented Python. Having said that, it's actually a good idea to start with one and be good at it, and over time learn the other one so that you can expand your horizon which makes you a more effective data scientist.
I agree 100%. People who come from stats or Econ background tend to choose R while people with CS background choose Python. That’s a great observation.
Just like you I am someone with no programming experience whatsoever. It took me almost 15 years of experience of which the last 11 have been into HR to realise my inclination towards Data Analytics and what can be done with it. And now I hit the RESET button on my career starting with the Google Data Analytics Certification course with Coursera. I got to know a little about SQL and Tableau and am now gearing up to know a little about R in the course. For someone like me, I guess it doesn't matter much which language I learn as long as I am doing good at it and making sure I am applying it wherever possible. Your insights have definitely reassured me that if there is one thing that can help me through this new journey, it is going to be constant learning, be it R or Python.
I love this Shilpa! Thank you for sharing your journey. It’s never too late to learn anything new. If it gives you any inspiration, I started late with a 6 year gap between high school and university. I had 6 years to think what I wanted to do but I still chose the wrong major and then later realized I wanted to go into data. The learning journey has been one of the most rewarding. Excited for your future!
This was something that I have been struggling with, making me hesitate in even beginning to learn either of the languages. Thank you for addressing this issue for us.
I like how you're self taught. I am as well so I can relate to your non traditional journey. I chose python and I use it every day now. I have a BA in philosophy and linguistics.
I first started with R (tidyverse, dplyr,ggplot2) then changed to Python(matplotlib,seaborn,numpy,pandas) Because I think python seems more friendly :)
You are a resourceful, inspirational and experienced darling. I love the way you said that you had a 6 year gap and learnt a course that didn't augur well with your passion before pursuing your passion in Data Science. It is never too late Sundas Khalid as you responded in one of your responses here. Now you are enjoying the fruits of patience, persistence and diligence. I am currently studying Computer science Bachelor's degree and started with Python and then R. I intend to pursue my BS in CS alongside Data Science courses on Coursera.
I use python , I will study R next semester when i do data science. Your videos are helpful . I wanna be a data scientist and I am currently studying cs in uni
You've inspired me to pickup and continue learning from where I stopped. I'll surely give you my journey update soonest. Much love from Nigeria. Keep doing what you're doing. Thank you once again.🙏
Hahaha it’s funny you noticed that. I have tendency to say that at least 3 times in each single video hahah. Either I got better about it or forgot to say it 😂
1:20 i decided it doesn’t matter python or r which is better bcz i need to learn to r for my studies Previously i am intermediate lvl in python bcz of my course i have to study R. I know R is for statistical computing language. but i don't know nothing about it. then i started researching about R and difference between Python and R. Both have different usage both will helpful. Always it will be an advantage if u know additional language.
So the verdict is, if somebody is just starting to learn Data Science, she should weakly prefer Python over R. Having said that, can you please highlight resources (online courses or books) to learn and master Python? Thank you.
But if I remember correctly you only began learning stats after you got into your new data science role.... Meaning you were using R for data engineering that's why you didn't see the point of it then. I would go so far as to say... If you could have a do over you shouldav learnt python for your first job and R for the second
great video. im currently on my google it support professional course but once i finish the course ill go to automation with python. hope you will release some videos teaching us mortals python:)
In my field (health sciences), R is preferred language so I started learning it first. But Python will definitely be in my list. I love ggplot2 in R which produces very beautiful plots
@@lelamtuyetduy Bạn nên xem clip của thầy Nguyễn Văn Tuấn trước và tập xử lý số liệu thật theo project. Mình học một phần và tự mày mò mỗi lúc code thất bại là chính
Thanks for sharing your experience. I like how you put the video together by telling your story. If you would start all over again, how will you learn Python?
Thank you! I am glad you enjoyed. My learning style is normally I start with a book, get the fundamentals down, then I would pick topics from the book and then deep dive more on them through online tutorials, blog post, practice a lot, and then do a project using that skill. While doing the project, I learned get to learn a lot more new things that I initially would’ve missed. Hope this helps!
@@SundasKhalid That makes sense. Start with a high-level overview, identify the topics, decide which to focus on, and learn, practice, and teach them. Doing a project is an excellent way to practice it, and it is the same as every other skill. I'll figure out what my next actionable step is. I look forward to seeing what you share next.
great video! Thank you. Even I started with R, so always have a soft corner for R. Nevertheless, I definitely prefer Python to R for sure for it's versatility. Also is there any reason why you learned Scala and PySpark after Python, is it important for Data Science?.
That’s great to know. I think a lot of people start with R esp if the first thing they learn is stats. I learned PySpark and Scala for a few projects working in Hadoop. It was all on the job.
I also learnt R first because I did Economics and Stats! Love It 😍 and I absolutely agree, they are tools for Data Science not Data Science! Very powerful 🙏🏾
Thank you, Aije! R is pretty amazing. I have realized that I’m using R a lot more when workin on my local machine. The Python versioning issues have managed to turn me off when building locally.
I am learning python for Data Science and was thinking to switch to R but now that you have made clear as what to choose I am going to continue with Python itself Thank you soo much for the Knowledge
Thanks Mam Please make more Videos on Projects.How will be the working style especially among team,how much time it takes to complete a project etc and say many things about Project
So by more scalable you mean the dev team was able to understand easier? So R by itself is actually quite capable, it's just that it's harder for the dev team to understand it. Is that what you mean?
Depending on your learning style, an introductory book to data analysis or a course would be a great start. Google’s data analytics course is a decent option to begin with.
Too much rambling.... changing languages because software developers cannot work with it means that the software developers are pretty inneficient workers. R is scalable.
@@SundasKhalid Like What is data leakage in Machine Learning/Data Science? I don't know much more, but it occurs when our model comes into production and performs very poorly.
hey i want one question and i want solution from you i have one arry like string ["4599"],["6625"],["7777"],["12345"],[7070] but i want print only this out put like this ["4599"],["6625"],["7777"] means i want print that string which string have same string last two or 1st and next if are same and or whole are same like in this arry ["7777"] how will sove this question
Hey I want to ask you a question. Now I am Completely beginning and I started my coding journey with python. I want to learn data science and make the career on it .. Is it the best way or with data science I can contribute with open source
What? I watched your video and, as a Data Scientist who is very well advanced with using R, I am perplexed as to why you have to translate R into a formalized programming language. That makes no sense to me. Who mandated that? R is designed to be a compliment to data processing and analysis, not as a substitute for some process model that already exists in production. In addition, you can, if needed, place an R process model in a production environment. I don't know what kind of Data Scientist you are, or how much of R you know, but you are, in my opinion, grossly misinformed here. By the way, lest anyone reading this thinks that R users and developers really know R, most don't. The average user / developer of R learns 31 packages called the "tidyverse' out of approximately 20,000 packages that exist. I am familiar with just over 500 packages in R. So, when you make a statement like "R doesn't scale" or "R can't be used in production" unless you are familiar with more than the tidyverse, and I think I can assume since you've only been working in data science for a few years, you DO NOT know what is really possible in R. Geesh how misinformed your video is that is going out to a large swath of consumers.
Let us know in comments if you started with Python or R? Why did you choose one over the other?
Really you are my inspiration to built the career with data science
Nice video 👍
Thank u for ur videos. Ur a humble person. U inspire me. I too had to leave my 1st job n had a break in my career because of family problems. I have seen many of ur videos. I'm not from a tech background but I wud like to pursue a career in data science. Pls guide me. I'm a simple girl with no one to guide. Kindly help.
Python, because it will help in ML &AI too.
@@suassini Hey This is Taqi from Hyd.
Kindly go ahead and start with Google Data Analytics program in collaboration with coursera, since this course is focused on begginer who don't have enough IT knowledge. as you move on in this course you will get to know how to use tools like excel, google sheets, data visualization , programming with R and if you stuck some where in any technical problems, always try to googling them and eventually you will be able to solve most of your problems on your own Ma'am.....
I am also enrolled in this course but I know some programming languages from udemy which I have learned before starting my undergrad in computer science which I was forced to leave due to the ongoing pandemic and (online classes on toxic calculus & irrelevant math which is not really helpful in daily job of a data analyst or software developer) which is why I decided to set short term high value courses like coursera which are very high in demand. Lemme know if u need some more guidance
Thank you
Pyrhon has longer code to do the same task however R can do the same task in half the code as to python
R vs. Python
I actually think that this is a false dichotomy. The reality is that you as a Data Scientist in 2022 and beyond needs to be proficient in >both< R and Python. Now stop wasting time on this non-question and start actually learning them.
R vs. Python
Which one you pick up first depends on the environment. If you are in the private sector working in a production environment, of course, learn Python first. Now, if you are in the Statistics, academic sphere, R is the way to go. For ML, Python. Again, horses for courses. I'll note that my DS masters programs starts us out with R and then shifts to Python. The Google Analytics certificate using R.
R vs. Python
R and Python are tools. They are the hammer, the screwdriver. They are not the end-product. They are a means to an end, not the end itself.
Thanks for your video! I've used both extensively and honestly I like both! They're both pretty easy to use and very powerful. I'm learning R from college and Python for a personal ML project, python is definitely far more versatile beyond data science, but if you're sticking just to data science, you really can't go wrong with any one of them. I particularly like shiny in R, just helps you publish and showcase your apps pretty easily.
You are a true inspiration to me.. please continue uploading more videos.. it's a great source of information for many of us.
I started off with R almost 3.5yrs back when I was doing a lot of ML-related experiments and visualization (ggplot) since R has this wonderful suite of libraries under the Tidyverse umbrella. Recently I have switched to Python for almost over a year now, and it's really helpful for fast prototyping and I'm loving it. Although I do believe if you come from somewhat of a Stats related background you tend to use R since you have used Matlab a lot, and folks who come from SWE backgrounds have more affinity towards object-oriented Python.
Having said that, it's actually a good idea to start with one and be good at it, and over time learn the other one so that you can expand your horizon which makes you a more effective data scientist.
I agree 100%. People who come from stats or Econ background tend to choose R while people with CS background choose Python. That’s a great observation.
I come from a software engineering background and I chose R over Python. I believe R is just a fundamentally better tool.
Just like you I am someone with no programming experience whatsoever. It took me almost 15 years of experience of which the last 11 have been into HR to realise my inclination towards Data Analytics and what can be done with it. And now I hit the RESET button on my career starting with the Google Data Analytics Certification course with Coursera. I got to know a little about SQL and Tableau and am now gearing up to know a little about R in the course. For someone like me, I guess it doesn't matter much which language I learn as long as I am doing good at it and making sure I am applying it wherever possible. Your insights have definitely reassured me that if there is one thing that can help me through this new journey, it is going to be constant learning, be it R or Python.
I love this Shilpa! Thank you for sharing your journey. It’s never too late to learn anything new. If it gives you any inspiration, I started late with a 6 year gap between high school and university. I had 6 years to think what I wanted to do but I still chose the wrong major and then later realized I wanted to go into data. The learning journey has been one of the most rewarding. Excited for your future!
This was something that I have been struggling with, making me hesitate in even beginning to learn either of the languages. Thank you for addressing this issue for us.
Amazing! now you can move forward with your learning journey!
I had to choose R, as I am learning google data analytics , but soon will get ready for python, thank you ma'am for valuable advice.
Amazing! Thank you for watching!
I have never been so confused. 98% of the experts who've analyzed the Google vs IBM data analyst cert say Google wins.
Thanks Sundas!
You never fail to inspire. I’ve been so confused on which language to focus.
Yayyy I’m glad this was helpful
I like how you're self taught. I am as well so I can relate to your non traditional journey. I chose python and I use it every day now. I have a BA in philosophy and linguistics.
R is a statistician-written language, index starting from 1, and use
Awesome! Thank you ❤
I first started with R (tidyverse, dplyr,ggplot2) then changed to Python(matplotlib,seaborn,numpy,pandas) Because I think python seems more friendly :)
Python is def easier and great option for first programming language to learn.
Very helpful video..Sundas Thank you!
Thanks for sharing ma!😊😊
Once, I am smooth enough or have a good foundation in Data Science using python, I would then learn R.
That’s a good plan
You are a resourceful, inspirational and experienced darling. I love the way you said that you had a 6 year gap and learnt a course that didn't augur well with your passion before pursuing your passion in Data Science. It is never too late Sundas Khalid as you responded in one of your responses here. Now you are enjoying the fruits of patience, persistence and diligence. I am currently studying Computer science Bachelor's degree and started with Python and then R. I intend to pursue my BS in CS alongside Data Science courses on Coursera.
Great video. Thanks for the clarity. It really helps!
Thank you for watching!
I use python , I will study R next semester when i do data science. Your videos are helpful . I wanna be a data scientist and I am currently studying cs in uni
Awesome! Keep going!
I started by learning python, thank the gods
You've inspired me to pickup and continue learning from where I stopped.
I'll surely give you my journey update soonest.
Much love from Nigeria. Keep doing what you're doing.
Thank you once again.🙏
Amazing! All the best
Cool, that was an awesome recommendation but one little part was missing. "Topic for an another video" 😂😜
Hahaha it’s funny you noticed that. I have tendency to say that at least 3 times in each single video hahah. Either I got better about it or forgot to say it 😂
@@SundasKhalid maybe we’ll come to a conclusion in your next video. Look forward! 😊
1:20 i decided it doesn’t matter python or r which is better bcz i need to learn to r for my studies
Previously i am intermediate lvl in python bcz of my course i have to study R.
I know R is for statistical computing language. but i don't know nothing about it.
then i started researching about R and difference between Python and R. Both have different usage
both will helpful. Always it will be an advantage if u know additional language.
The programming team not understanding R speaks volume of them. R is a modern language for Stats and Analysis
Thank you for sharing this insight.
Thank you for watching!
very inspiring! thank you
So the verdict is, if somebody is just starting to learn Data Science, she should weakly prefer Python over R.
Having said that, can you please highlight resources (online courses or books) to learn and master Python?
Thank you.
I will share some books suggestion soon
I started with SPSS, after that i moved to jamovi and now R. Jamovi is still my favorite tbh :)
But if I remember correctly you only began learning stats after you got into your new data science role.... Meaning you were using R for data engineering that's why you didn't see the point of it then. I would go so far as to say... If you could have a do over you shouldav learnt python for your first job and R for the second
great video. im currently on my google it support professional course but once i finish the course ill go to automation with python. hope you will release some videos teaching us mortals python:)
It's very informative. Thnku mam
Thank you! Glad it’s useful
In my field (health sciences), R is preferred language so I started learning it first. But Python will definitely be in my list. I love ggplot2 in R which produces very beautiful plots
I want to learn R but do not know where to start yet. Can you show me your path into R? Thank you!
@@lelamtuyetduy Bạn nên xem clip của thầy Nguyễn Văn Tuấn trước và tập xử lý số liệu thật theo project. Mình học một phần và tự mày mò mỗi lúc code thất bại là chính
very informatic video love this
thank you so much!
Thanks for sharing your experience. I like how you put the video together by telling your story. If you would start all over again, how will you learn Python?
Thank you! I am glad you enjoyed. My learning style is normally I start with a book, get the fundamentals down, then I would pick topics from the book and then deep dive more on them through online tutorials, blog post, practice a lot, and then do a project using that skill. While doing the project, I learned get to learn a lot more new things that I initially would’ve missed. Hope this helps!
@@SundasKhalid That makes sense. Start with a high-level overview, identify the topics, decide which to focus on, and learn, practice, and teach them. Doing a project is an excellent way to practice it, and it is the same as every other skill. I'll figure out what my next actionable step is.
I look forward to seeing what you share next.
Hi I'm from Liberia, I'm interested in bring a DataScience,l. Can I succeed as I had just started learning Statistics
Good path because Statistics is needed along the way
great video! Thank you.
Even I started with R, so always have a soft corner for R.
Nevertheless, I definitely prefer Python to R for sure for it's versatility.
Also is there any reason why you learned Scala and PySpark after Python, is it important for Data Science?.
That’s great to know. I think a lot of people start with R esp if the first thing they learn is stats. I learned PySpark and Scala for a few projects working in Hadoop. It was all on the job.
@@SundasKhalid That is very informative. Thank you so much for your quick response.
I also learnt R first because I did Economics and Stats! Love It 😍 and I absolutely agree, they are tools for Data Science not Data Science! Very powerful 🙏🏾
Thank you, Aije! R is pretty amazing. I have realized that I’m using R a lot more when workin on my local machine. The Python versioning issues have managed to turn me off when building locally.
@@SundasKhalid That makes absolute sense. Well done!!! with the content 😍
I am learning python for Data Science and was thinking to switch to R but now that you have made clear as what to choose I am going to continue with Python itself
Thank you soo much for the Knowledge
Amazing! All the best with you data science journey ❤️
Hey, could you please do a video on the specific courses you took while self-teaching data science to yourself?
See mine
Thanks Mam
Please make more Videos on Projects.How will be the working style especially among team,how much time it takes to complete a project etc and say many things about Project
So by more scalable you mean the dev team was able to understand easier? So R by itself is actually quite capable, it's just that it's harder for the dev team to understand it. Is that what you mean?
Thanks 👍
From where we start to learn if we want to work as data Analysis.
Depending on your learning style, an introductory book to data analysis or a course would be a great start. Google’s data analytics course is a decent option to begin with.
@@SundasKhalid Thanks!
Thank for your sharings. What about Kotlin? Do you think kotlin is useful tool for data science?
Too much rambling.... changing languages because software developers cannot work with it means that the software developers are pretty inneficient workers. R is scalable.
How would you scale R in a production environment?
Hi Sundas, Can you make a video on Data Leakage?
What about it? Share more
@@SundasKhalid Like What is data leakage in Machine Learning/Data Science?
I don't know much more, but it occurs when our model comes into production and performs very poorly.
I will go for Python. 🙂
Me too. Python is pretty cool.
Same Choice 🥰
I am a Python user. Looking forward to learn R.
Hey, I'm an Econ student and I'm confused if Data Analyses and Data Science is for me. How should I figure out?
Do one or more project and see if you still like after doing those projects
Of course both of them are for you. Economics is mostly about that.
could you please make video on skills required to become autonomous vehicle engineer....?
Suggest best course for someone non-tech background... I am professional chartered accountant currently learning SQL and Uipath...
See my video on Google data analytics certificate. That'd be a great start coming from non-tech.
thanks for suggestion.. can u make tutorial on deploy ml model with python?
hey i want one question and i want solution from you i have one arry like string ["4599"],["6625"],["7777"],["12345"],[7070] but i want print only this out put like this ["4599"],["6625"],["7777"] means i want print that string which string have same string last two or 1st and next if are same and or whole are same like in this arry ["7777"] how will sove this question
regex
HEY sundas i started to learn 1st statistics then python , can u make a complete viideos of step by step to till the data science
Hey I want to ask you a question.
Now I am Completely beginning and I started my coding journey with python. I want to learn data science and make the career on it .. Is it the best way or with data science I can contribute with open source
I am using both R and Python
I completed my graduation in bsc normal(non technical )and i have completed python with data science so, am I eligible for data science job?
When you focus on her face, the hand that is in front of her red shirt seems green. Is that me or anyone else has also seen that😅
R (good for academics/research)❤️😍
Which course you do after 12th
I am indian speek hindi language data scientist careear
what about excel?
what is R 🤔
See mine
I am not in computer science background, so can I in data science field
Sure, uh can
My Jarvis is better than ChatGPT
watched whole video
Glad it kept you the entire duration :)
Python
Giggity
What? I watched your video and, as a Data Scientist who is very well advanced with using R, I am perplexed as to why you have to translate R into a formalized programming language. That makes no sense to me. Who mandated that? R is designed to be a compliment to data processing and analysis, not as a substitute for some process model that already exists in production. In addition, you can, if needed, place an R process model in a production environment. I don't know what kind of Data Scientist you are, or how much of R you know, but you are, in my opinion, grossly misinformed here. By the way, lest anyone reading this thinks that R users and developers really know R, most don't. The average user / developer of R learns 31 packages called the "tidyverse' out of approximately 20,000 packages that exist. I am familiar with just over 500 packages in R. So, when you make a statement like "R doesn't scale" or "R can't be used in production" unless you are familiar with more than the tidyverse, and I think I can assume since you've only been working in data science for a few years, you DO NOT know what is really possible in R. Geesh how misinformed your video is that is going out to a large swath of consumers.
python
hahahah only Python all day