Hello Sundas, in context of "Learn the code" could you please tell us, What to learn, From where to Learn any reference like book website from where we can learn code part.
I've started 3 days ago. Still researching the correct path to take to self educate. Found your page and 3 others and a couple of blogs to gain inspiration from.Doing a beginner course in Data Aynalitcs and studying how to code as of the last 3 days. Is it better to maybe work to become a Data analyst first and continue your studies to the point where you can take on the role of a Data Scientist? Or just go straight for the Data Science role?
@@djstevo02 I am new too to data science ...still trying to figure out a road map to learning data science...is there any community for a beginner like me?
I think learning the theory before learning to code can be a really tedious way of learning data science in general. There is so much to learn in statistics, linear algebra, ML etc even on their own and if you try to learn this before even getting to code yourself and implement things you run the risk of burning out before doing "anything". I tried and failed to get into data science properly a few years ago because I tried to go through the route of theory first, through Andrew Ng course etc. What really helped was just looking at the typical go-to projects that we've now all seen on Kaggle and working through those, learning the theory as and when you need it. Learning to code gradient descent from scratch is nice but if you just want to see the fruits of your labour and understand what the typical day-to-day of a data scientist is you need to get your hands dirty by looking at data ingestion, cleaning, EDA and then modelling. Bit of a ramble but hope I made some sense :)
Thanks for the video Sundas! I still struggle to know what data science role I want to do. I'd love to hear more of your thoughts on picking direction when you don't yet have experience. There's a big gap between the skills I have now and some of the positions I am interested, but I'm hoping that I can still move around in the field as I learn more. My data science journey started last year during the pandemic when I was locked out of my PhD lab and needed to do something productive. My process so far 1. Data Science in R series from Harvard on Edx 2. Reading practical statistics for data science with a bookclub 3. Python programming course Pre4. Learned some linear algebra, calculus 4a. ML course 4b. Data science fellowship with DS4A Now. Learning SQL online! Always. Engage in DS community and attend talks to learn about various topics Next. Applied Machine learning class to do some project work and also I should finish my PhD this semester!!
This is like greate start of year for me. I was looking for ways to start about data science and suddenly TH-cam notification came out. Thank and have a great year everyone. ❤️❤️🔥🔥
@@sehdevgamingtour2903 Hi, I am currently a google MLE, I am glad to tell you that I have written a lot of algorithms to suggest videos. I know what you’re researching on the web and I also know where you are right now.( Stop watching porn videos in the attic!). Have a nice learning path.
Hi Sundas! I am a chemical engineer working in industrial automation for several years. I spent several years drawing conclusions from tons of process trendings and doing data visualization (when I I didn't know what it really was) until I found your IG and that's when I knew I was into data analytics. I am doing the Google data analytics certificate course and it is great so far. I am also hesitating to stepping into the data scientist role but I will see how the data analytics goes first. Thanks for inspiring me to give my career a new direction !( Changing at 35 is not easy!)
Hi, David¡ I am an accountant in a similar situation. I have worked for 15 years as an internal auditor and eventually ended up focusing on data modeling by pulling data from SAP ERP. I think our experience is a good approach. Right now, I'm noticing there are posts for data analyst auditor positions, which means there are now members of the audit team who are only focused on producing data models for the rest of the team. In my case it is a good opportunity to take advantage of my experience and apply it to Data analytics. Thanks for sharing your experience. I hope my comment helps you.
Hi Sundas! I have a career in auditing and over time I ended up focusing on producing data models by pulling data from SAP ERP. These days, this work is often done by data analysts. It requires knowing the data base and handling analytics tools (SQL, Script, Python, etc ...) I am learning Python and I am preparing for the CAP (Certified Analytical Professional) certification, to learn the methodology and accredit my qualification. After listening to you I think I should prioritize statistics. With my experience I think that I should orient myself towards business data analytics. Thanks for the info.
Hi Sundas, great video. I am trying to make a switch from operations to analytics and I learned Excel and Tableau first and then learnt to code. Completely agreed that knowing the tool isn’t enough. You gotta be a pro to make them believe you have what it takes.
Reading JDs at different companies and LinkedIn Profiles of people already working there gives you pretty much insight into what all skills the company is looking for, and one can prepare for those skills precisely instead of pondering over a huge pool of skills. Smart move. Thanks Sudas for these tips😊 , always love your content ❤️.
Data Science/Machine Learning/Data Engineering/Data Analyst roles are incredibly overhyped and actually are not very rewarding. The competition is insane and getting a job takes almost 18 months of grinding to break into the industry. Plus you need a masters in Data Science to actually be considered for most roles. To add on top of that, there are insanely long hours and crazy work pressure, but relatively low pay in these fields,, You must choose your field smartly for the future - Java and Cybersecurity roles along with, network engineer, VLSI, and networking roles are always hiring. So are, product management, Salesforce, and PPM type of roles. Core fields are great but they just aren't that much in demand. Always choose IT or CS or Electrical/Networking and learn to code in Java or Javascript. You are pretty much guaranteed to get a high-paying job.
It's so greatfull of you Sundas mam to mentor us gracefully. I'm just 18 but see my future as data scientist and always get many more to learn from u . Mam please keep motivating students like me and others as well . need more videos on data scientist.
Thanks so much for clearing it out. I am learning data science on my own. I started learning statistics few months ago, almost done. I was a little confused and restless if i made the right choice by learning statistics first. I read a lot of comments on quora where people said that coding should be the first step, it didn't make much sense to me. Now its all clear and i have gained confidence after watching your video. I have a similar road map to what you just said. Thanks so much for inspiring and giving us so much info. All the best and really looking forward to watch your future videos.
Thanks Sundas! I wish I would've seen this video years ago especially studying the job family along with researching the role. Through trial and error, I learned these lessons the hard way haha. Currently continuing to learn statistics/coding and hoping to start building out my portfolio soon.
Hi Sundas, I must say you're doing great job sharing your experience of the journey of data science. I could so correlate to you when you said you jumped into this field just by hearing it was the sexiest job out there. I did it too !! Thanks once again for sharing ! I do get lot of insights from you. Keep up the great work you're dong
Thank you so much for this ideas. You are very correct and I got to know that as it fell in line with the structure of Datacamp schedule where I am learning Data Science now. I also appreciate you for mentioning Kaggle because I have been thinking where or how can I implement the little I have learnt. Well done 👍
I do agree in most of your ideas. But I think that in terms of keeping the motivation high, it is better to start doing project very early on and having results to show, and iterate over it. Thanks for your video
Hello Mam, I am From India and I am 17 Year Old, I have done 2 Python Specialization On coursera From University of Michigan And Google and Recently I have also Complete IBM Data Science specialization and now working on Johans Hopkins University's Specialization. What should I do to be a Data Scientist quick As possible At from This Step 🙏🏻 I always watched Your Video and I always get Motivated as well as I choose What to do from taking what You said. Thank You alot. You always Inspired aspired Data Scientists Like me. 🙂
Thanks for your work, Sundas! I am doing a PhD in English and learning HTML-CSS-Javascript right now. What would be my ideal path to getting a job in Data Science? I'm relatively unfamiliar with the tech field but so excited about Data Science and its possibilities. I'll really appreciate it if you could do a video about this topic, esp for folks from the humanities that want to make it into tech. Thank you so much!
I think the coursera Machine Learning course by Andrew Ng would be a great introductory course into this field and also udemy has a lot of good content for beginners looking to get into data science.
@@abhipsachakraborty i guess you should learn python and data structures first. After that you could learn more about natural language processing as you had mentioned that you are doing your PhD in English so you could have a job related to both DS and natural language
Hi Sundas, I am doing google data analytics certification and I saw you today in course 6. Enjoyed your motivating story and came back in here to confirm that it's you😀
Yes it's me. Being part of the course is the highlight of my time at Google. I am so glad you found me here. You are super close to finishing the course. All the best!
This is an excellent video, and this strategy could be applied to every job. I paid a lot of money for the information you've provided for free and for everyone. Good for you, keep going 🚀
I like your statement that "interview is about How much you know in a given time frame under a pressure" Keep on making videos and talk about data science.
Hey sundas could you please make videos where you do some basic projects from scratch so that we can understand the process which a data scientist use to complete a project.
@@SundasKhalid How about working on something related to climate change, health crisis, sales, energy crisis or Refugees. I am a beginner but really passionate about Data science I am currently learning stats and python but watching a complete project from scratch will surely help get some perspective into this domain. Thanks for replying❤️
Hi Sundas, I am from Sindh,Pakistan. I am undergraduate Mathematics (3rd year) student. My path towards Data Science, I have learnt C++ and Python and Now enrolled Machine Learning course with Computer Science Students. Now I am in Six semester so in the coming two semester I will enroll Deep Learning and Artificial Intelligence. Firstly, I preferred Machine Learning over AI because ML covers more topics of AI. After My graduation As Mathematics student I will choose my career as Data scientist. If you have any suggestion regarding my choice please aware me.
Data Science/Machine Learning/Data Engineering/Data Analyst roles are incredibly overhyped and actually are not very rewarding. The competition is insane and getting a job takes almost 18 months of grinding to break into the industry. Plus you need a masters in Data Science to actually be considered for most roles. But even despite that, you are not considered for most jobs if you don't have work experience. To add on top of that, there are insanely long hours and crazy work pressure, but relatively low pay in these fields,, You must choose your field smartly for the future - Java and Cybersecurity roles along with, network engineer, VLSI, and networking roles are always hiring. So are, product management, Salesforce, and PPM type of roles. Core fields are great but they just aren't that much in demand. Always choose IT or CS or Electrical/Networking and learn to code in Java or Javascript. You are pretty much guaranteed to get a high-paying job.
Even I am an engineer who did MBA after which I was in a manufacturing domain. And that's when I decided to jump on to the sexiest job in the world. Went for a SAS certification of data science and BAMMM !!! A year later I started working as a data scientist !!!
I want to become a data scientist working in the finance domain (I am not sure which division specifically for now, but I am sure its in the finance space). I know the basics of python for data science (pandas, numpy, etc) and I have done a few projects on kaggle. However, I am going to soon pursue a masters in data science and I am worried about the math. How much math is really required for data science? Intuitively, I understand why statistics plays a big role, but what about linear algebra and calculus? Like, how much of those do you need and what specific topics / learning objectives should you know before you can confidently say they are sufficient? (Sufficient to be a data scientist) Also - I understand that data science is a huge field and different parts of data science requires different skillsets, but I am looking to be right in between data analysis and machine learning. I am very much interested in machine learning, but then again, i don't want to go too deep into it considering my calculus isn't as strong. Any advice is much appreciated! Thank you for your time in advance!
Data Science/Machine Learning/Data Engineering/Data Analyst roles are incredibly overhyped and actually are not very rewarding. The competition is insane and getting a job takes almost 18 months of grinding to break into the industry. Plus you need a masters in Data Science to actually be considered for most roles. But even despite that, you are not considered for most jobs if you don't have work experience. To add on top of that, there are insanely long hours and crazy work pressure, but relatively low pay in these fields,, You must choose your field smartly for the future - Java and Cybersecurity roles along with, network engineer, VLSI, and networking roles are always hiring. So are, product management, Salesforce, and PPM type of roles. Core fields are great but they just aren't that much in demand. Always choose IT or CS or Electrical/Networking and learn to code in Java or Javascript. You are pretty much guaranteed to get a high-paying job.
Thank you for your videos. I graduated in Master of data science, right now i wana review everything that I learned, could you pls make a video about preparation for interview? 🙏🏻
Data Science/Machine Learning/Data Engineering/Data Analyst roles are incredibly overhyped and actually are not very rewarding. The competition is insane and getting a job takes almost 18 months of grinding to break into the industry. Plus you need a masters in Data Science to actually be considered for most roles. But even despite that, you are not considered for most jobs if you don't have work experience. To add on top of that, there are insanely long hours and crazy work pressure, but relatively low pay in these fields,, You must choose your field smartly for the future - Java and Cybersecurity roles along with, network engineer, VLSI, and networking roles are always hiring. So are, product management, Salesforce, and PPM type of roles. Core fields are great but they just aren't that much in demand. Always choose IT or CS or Electrical/Networking and learn to code in Java or Javascript. You are pretty much guaranteed to get a high-paying job.
I am so overwhelmed with the thought of maths, as I am from a non CS background. Could you suggest the essential topics in Maths that I should focus on?
Start easy... Learn what a vector is, how to add and multiply matrices... Probability and stats are important but you can start without them. However linear algebra is something that is needed... For that mather you only need small subset of linear algebra and it is more important to learn how to implement adding or multiplying matrices in python them to learn some distant and obscure things from it.
Sundas states in this video that she would learn concepts before any coding. Learn at the theoretical level or at least close to it. Mathematical Statistics: If you want to parallel a college course use textbooks- college courses typically follow a textbook as a guide. Book: Mathematical Statistics by Larsen and Marx Videos: MIT open courseware (choose a probability and statistics class) Linear Algebra: Khan Academy and MIT open course ware are my favorite resources for this. When you are done, learn to implement Matrices in R and Python. Learn to Program, I recommend R because it's easier to implement Statistics right away. This is just to reinforce Statistics concepts. Do a Statistics path on datacamp. You are still learning statistics here. Then Start Python. DataCamp is a good place for all things datascience. Supplement that with the math I mentioned before.
Hey Khalid, I'm 16 years old and interested in learning data science. Can I learn data science the way you said and start freelancing instead of interviewing? (Which I probably can't right now). So that I can improve the data science knowledge and also be good at it even more.
I'm following your videos regularly, it will be helpful for many learners who are aspiring data science . Currently I'm studying CS . Can you please share the tips or any tools for learning statistics. I found difficulty in learning statistics.
Data Science/Machine Learning/Data Engineering/Data Analyst roles are incredibly overhyped and actually are not very rewarding. The competition is insane and getting a job takes almost 18 months of grinding to break into the industry. Plus you need a masters in Data Science to actually be considered for most roles. To add on top of that, there are insanely long hours and crazy work pressure, but relatively low pay in these fields,, You must choose your field smartly for the future - Java and Cybersecurity roles along with, network engineer, VLSI, and networking roles are always hiring. So are, product management, Salesforce, and PPM type of roles. Core fields are great but they just aren't that much in demand. Always choose IT or CS or Electrical/Networking and learn to code in Java or Javascript. You are pretty much guaranteed to get a high-paying job.
MAM, WHICH FIELD WILL BE BEST FOR FUTURE ?(your opinion) 1.) Data Analytics, Data Science, Data Engineenering 2.) Android Development (android studio) i'm confused that which field should i take, i have done BS(Software Engineering) and currently i'm doing internship in android development in recent 2 monnths and my father is suggesting me to take the field of Data(science,engineering,analytics)... kindly tell me that data field is good should i take it?
Data Science/Machine Learning/Data Engineering/Data Analyst roles are incredibly overhyped and actually are not very rewarding. The competition is insane and getting a job takes almost 18 months of grinding to break into the industry. Plus you need a masters in Data Science to actually be considered for most roles. To add on top of that, there are insanely long hours and crazy work pressure, but relatively low pay in these fields,, You must choose your field smartly for the future - Java and Cybersecurity roles along with, network engineer, VLSI, and networking roles are always hiring. So are, product management, Salesforce, and PPM type of roles. Core fields are great but they just aren't that much in demand. Always choose IT or CS or Electrical/Networking and learn to code in Java or Javascript. You are pretty much guaranteed to get a high-paying job.
HI sundas, I like what you do and we appreciate so much , so i have discovered am struggling with probability and the statistics part of data science any insights on how to approach that will be appreciated
Hello ma'am my name is Ishita .I study in an Indian school and after 10th we need to chose a stream I'm thinking of taking up arts as i'm interested in economics, maths and fine arts. But i'm not sure which stream should i take to become a data scientist. I'm pretty good with computer and about learning python and r etc it can happen through courses. So basically i want to ask that should i take up science in 11th and 12th ( which i don't enjoy a lot) or should i take humanities. thanks a lot for considering. :) hope u have a great day :))
Data Science/Machine Learning/Data Engineering/Data Analyst roles are incredibly overhyped and actually are not very rewarding. The competition is insane and getting a job takes almost 18 months of grinding to break into the industry. Plus you need a masters in Data Science to actually be considered for most roles. But even despite that, you are not considered for most jobs if you don't have work experience. To add on top of that, there are insanely long hours and crazy work pressure, but relatively low pay in these fields,, You must choose your field smartly for the future - Java and Cybersecurity roles along with, network engineer, VLSI, and networking roles are always hiring. So are, product management, Salesforce, and PPM type of roles. Core fields are great but they just aren't that much in demand. Always choose IT or CS or Electrical/Networking and learn to code in Java or Javascript. You are pretty much guaranteed to get a high-paying job.
I am a CS major from a reputed university, but with a career gap of 5 years. I am 32 now, can I start my data analytics/data science journey now ? Will any employer want to hire me because I am 32 already ? I am super worried right now. Mam, what are your thoughts?
hello, Nice video but after watching it feels like this video is for people who are already into data science and how to cruise through. it doesn't explain what a beginner should do who has no knowledge on data science or a person who has no coding background. As you said from buisness background to data science, why, what, where and how part of your journey would put more insight for others to start their own.. thanks!!
Usually if I want to learn something I will do some demo projects my own. but to learn data science it is very difficult to learn that way because no data available also i don’t know what data scientist do. do they collect data,clean,preprocess,then pick any algorithms then analyse result then repeat until best result is that what data scientist do or do I miss something?
solving problems in a limited time frame under a pressure setting... is that common in this roles? I feel I coukd do everything, am also good analyzing charts, but i don't like working under pressure
Which online DS course should i take, As there are lot of courses available on Udemy, udacity, upgrad, great learning, simplilearn etc. Quite confused, Because there are lots of online platforms
![ประสบการณ์ จ้าง Developer ที่ผมจะไม่มีวันลืม [ภาค1]](http://i.ytimg.com/vi/bzivN4KDg-k/mqdefault.jpg)
Thanks for watching! What does your data science path looks like?
ur my inspiration mam
Hello Sundas, in context of "Learn the code" could you please tell us, What to learn, From where to Learn any reference like book website from where we can learn code part.
I've started 3 days ago. Still researching the correct path to take to self educate. Found your page and 3 others and a couple of blogs to gain inspiration from.Doing a beginner course in Data Aynalitcs and studying how to code as of the last 3 days. Is it better to maybe work to become a Data analyst first and continue your studies to the point where you can take on the role of a Data Scientist? Or just go straight for the Data Science role?
Thanks for the info... that's really great and I agreed this path. I'm just begining and I also think Statistics is the first step to take!!
@@djstevo02 I am new too to data science ...still trying to figure out a road map to learning data science...is there any community for a beginner like me?
I think learning the theory before learning to code can be a really tedious way of learning data science in general. There is so much to learn in statistics, linear algebra, ML etc even on their own and if you try to learn this before even getting to code yourself and implement things you run the risk of burning out before doing "anything". I tried and failed to get into data science properly a few years ago because I tried to go through the route of theory first, through Andrew Ng course etc.
What really helped was just looking at the typical go-to projects that we've now all seen on Kaggle and working through those, learning the theory as and when you need it. Learning to code gradient descent from scratch is nice but if you just want to see the fruits of your labour and understand what the typical day-to-day of a data scientist is you need to get your hands dirty by looking at data ingestion, cleaning, EDA and then modelling.
Bit of a ramble but hope I made some sense :)
I’m doing Master’s in Data Science. Statistics, Business and Maths are really important.
Thanks for the video Sundas! I still struggle to know what data science role I want to do. I'd love to hear more of your thoughts on picking direction when you don't yet have experience. There's a big gap between the skills I have now and some of the positions I am interested, but I'm hoping that I can still move around in the field as I learn more.
My data science journey started last year during the pandemic when I was locked out of my PhD lab and needed to do something productive.
My process so far
1. Data Science in R series from Harvard on Edx
2. Reading practical statistics for data science with a bookclub
3. Python programming course
Pre4. Learned some linear algebra, calculus
4a. ML course
4b. Data science fellowship with DS4A
Now. Learning SQL online!
Always. Engage in DS community and attend talks to learn about various topics
Next. Applied Machine learning class to do some project work and also I should finish my PhD this semester!!
This is like greate start of year for me. I was looking for ways to start about data science and suddenly TH-cam notification came out. Thank and have a great year everyone. ❤️❤️🔥🔥
Amazing! I am so happy the timing of this video worked out perfectly!
That's how AI worked
@@sehdevgamingtour2903 Hi, I am currently a google MLE, I am glad to tell you that I have written a lot of algorithms to suggest videos. I know what you’re researching on the web and I also know where you are right now.( Stop watching porn videos in the attic!). Have a nice learning path.
@@lucianozaffaina9853 how do you know?
Hi Sundas! I am a chemical engineer working in industrial automation for several years. I spent several years drawing conclusions from tons of process trendings and doing data visualization (when I I didn't know what it really was) until I found your IG and that's when I knew I was into data analytics. I am doing the Google data analytics certificate course and it is great so far. I am also hesitating to stepping into the data scientist role but I will see how the data analytics goes first. Thanks for inspiring me to give my career a new direction !( Changing at 35 is not easy!)
Hi, David¡
I am an accountant in a similar situation. I have worked for 15 years as an internal auditor and eventually ended up focusing on data modeling by pulling data from SAP ERP.
I think our experience is a good approach.
Right now, I'm noticing there are posts for data analyst auditor positions, which means there are now members of the audit team who are only focused on producing data models for the rest of the team. In my case it is a good opportunity to take advantage of my experience and apply it to Data analytics.
Thanks for sharing your experience. I hope my comment helps you.
@@santiagobardelli5675 thanks for sharing your experience!
Thanks for the shout out Sundas! Great video!
Gods themselves🤩 ❤
Your videos are brilliant. I've been making lots of notes and they are really helping to shape my path!
Hi Sundas! I have a career in auditing and over time I ended up focusing on producing data models by pulling data from SAP ERP.
These days, this work is often done by data analysts. It requires knowing the data base and handling analytics tools (SQL, Script, Python, etc ...)
I am learning Python and I am preparing for the CAP (Certified Analytical Professional) certification, to learn the methodology and accredit my qualification.
After listening to you I think I should prioritize statistics.
With my experience I think that I should orient myself towards business data analytics. Thanks for the info.
Hi Sundas, great video. I am trying to make a switch from operations to analytics and I learned Excel and Tableau first and then learnt to code. Completely agreed that knowing the tool isn’t enough. You gotta be a pro to make them believe you have what it takes.
Reading JDs at different companies and LinkedIn Profiles of people already working there gives you pretty much insight into what all skills the company is looking for, and one can prepare for those skills precisely instead of pondering over a huge pool of skills. Smart move. Thanks Sudas for these tips😊 , always love your content ❤️.
I am so glad you found this helpful. Thank you for watching and sharing your thoughts :)
Data Science/Machine Learning/Data Engineering/Data Analyst roles are incredibly overhyped and actually are not very rewarding. The competition is insane and getting a job takes almost 18 months of grinding to break into the industry. Plus you need a masters in Data Science to actually be considered for most roles. To add on top of that, there are insanely long hours and crazy work pressure, but relatively low pay in these fields,,
You must choose your field smartly for the future -
Java and Cybersecurity roles along with, network engineer, VLSI, and networking roles are always hiring. So are, product management, Salesforce, and PPM type of roles. Core fields are great but they just aren't that much in demand. Always choose IT or CS or Electrical/Networking and learn to code in Java or Javascript. You are pretty much guaranteed to get a high-paying job.
It's so greatfull of you Sundas mam to mentor us gracefully. I'm just 18 but see my future as data scientist and always get many more to learn from u . Mam please keep motivating students like me and others as well . need more videos on data scientist.
The last point on the interview process is 100% true. Can't agree more😎
Yes, I can't emphasize on the last point. It's the last and probably one of the most important step in the entire journey.
Thanks so much for clearing it out. I am learning data science on my own. I started learning statistics few months ago, almost done. I was a little confused and restless if i made the right choice by learning statistics first. I read a lot of comments on quora where people said that coding should be the first step, it didn't make much sense to me. Now its all clear and i have gained confidence after watching your video. I have a similar road map to what you just said. Thanks so much for inspiring and giving us so much info. All the best and really looking forward to watch your future videos.
Your advice seems very intuitive. Thank you for this video as I wouldn't have thought of it!
Thanks Sundas! I wish I would've seen this video years ago especially studying the job family along with researching the role. Through trial and error, I learned these lessons the hard way haha. Currently continuing to learn statistics/coding and hoping to start building out my portfolio soon.
Hi Sundas, I must say you're doing great job sharing your experience of the journey of data science. I could so correlate to you when you said you jumped into this field just by hearing it was the sexiest job out there. I did it too !! Thanks once again for sharing ! I do get lot of insights from you. Keep up the great work you're dong
Thank you so much for this ideas.
You are very correct and I got to know that as it fell in line with the structure of Datacamp schedule where I am learning Data Science now. I also appreciate you for mentioning Kaggle because I have been thinking where or how can I implement the little I have learnt.
Well done 👍
This was very helpful! Thank you🤲🏾
The steps and prioritization is really helpful.Thank you Sundas
I do agree in most of your ideas. But I think that in terms of keeping the motivation high, it is better to start doing project very early on and having results to show, and iterate over it. Thanks for your video
Thanks for sharing!
Definitely waiting for the portfolio building video
Hello Mam, I am From India and I am 17 Year Old, I have done 2 Python Specialization On coursera From University of Michigan And Google and Recently I have also Complete IBM Data Science specialization and now working on Johans Hopkins University's Specialization. What should I do to be a Data Scientist quick As possible At from This Step 🙏🏻
I always watched Your Video and I always get Motivated as well as I choose What to do from taking what You said.
Thank You alot. You always Inspired aspired Data Scientists Like me. 🙂
Awesome man
You have done a lot of self learning
Hi Lalit, I laid out a path in this video, please watch it from start to finish and pinpoint what steps you are missing from it.
@@SundasKhalid feels great to see you atleast reply to your subscribers. Cool !
I would go date a girl at 17 ....chil dude ...relax ..what’s wrong with ya
Thanks for your work, Sundas! I am doing a PhD in English and learning HTML-CSS-Javascript right now. What would be my ideal path to getting a job in Data Science? I'm relatively unfamiliar with the tech field but so excited about Data Science and its possibilities. I'll really appreciate it if you could do a video about this topic, esp for folks from the humanities that want to make it into tech. Thank you so much!
Why are you doing a PhD in English,if you want to get into data science?
I think the coursera Machine Learning course by Andrew Ng would be a great introductory course into this field and also udemy has a lot of good content for beginners looking to get into data science.
@@akshayiithyd my interest in data science is recent although I’m an advanced grad student in English
Ideally Path is Mathematics>Statistics>Python>SQL and Excel >Data Structure>ML>Tableau 🔥You are Data Scientist 👨💻
@@abhipsachakraborty i guess you should learn python and data structures first. After that you could learn more about natural language processing as you had mentioned that you are doing your PhD in English so you could have a job related to both DS and natural language
Hi Sundas,
I am doing google data analytics certification and I saw you today in course 6. Enjoyed your motivating story and came back in here to confirm that it's you😀
Yes it's me. Being part of the course is the highlight of my time at Google. I am so glad you found me here. You are super close to finishing the course. All the best!
@khyati Piprotar how much is the cost pf course
This is an excellent video, and this strategy could be applied to every job. I paid a lot of money for the information you've provided for free and for everyone. Good for you, keep going 🚀
Great job, thank you very much Sundas
Thankyou so much for this video wouldnt be grateful enough for this....wish all success to you ahead
Thank you! Glad it was helpful!
Love the editing on this video!!
I am doing my bachelor's in DATA science. You are inspiration for us Sundas !
Thank you for being here, Jawad!
Pucit, Jawad?
@@syedhamzashah3803 nope,
IM|Sciences peshawar launched in 2019
I like your statement that "interview is about How much you know in a given time frame under a pressure"
Keep on making videos and talk about data science.
Hey sundas could you please make videos where you do some basic projects from scratch so that we can understand the process which a data scientist use to complete a project.
Hi Priyanshu, that's a great suggestion. Let me know think of a project... feel free to share if you have any suggestions.
@@SundasKhalid How about working on something related to climate change, health crisis, sales, energy crisis or Refugees.
I am a beginner but really passionate about Data science I am currently learning stats and python but watching a complete project from scratch will surely help get some perspective into this domain.
Thanks for replying❤️
@@SundasKhalid yes this kinda video could be great for noobies like us to get started with their first project! Please do videos on this topic.
Awesome. Thanks for this
Very good video with a lot of insights. Thanks very much
A Great Summary, thanks for the inputs
Thanks so much,ur video is really helpful..keep sharing the knowledge.Learning stats now.
Thank you, very inspiring video!
Hi Sundas,
I am from Sindh,Pakistan.
I am undergraduate Mathematics (3rd year) student. My path towards Data Science, I have learnt C++ and Python and Now enrolled Machine Learning course with Computer Science Students. Now I am in Six semester so in the coming two semester I will enroll Deep Learning and Artificial Intelligence. Firstly, I preferred Machine Learning over AI because ML covers more topics of AI. After My graduation As Mathematics student I will choose my career as Data scientist.
If you have any suggestion regarding my choice please aware me.
Data Science/Machine Learning/Data Engineering/Data Analyst roles are incredibly overhyped and actually are not very rewarding. The competition is insane and getting a job takes almost 18 months of grinding to break into the industry. Plus you need a masters in Data Science to actually be considered for most roles. But even despite that, you are not considered for most jobs if you don't have work experience. To add on top of that, there are insanely long hours and crazy work pressure, but relatively low pay in these fields,,
You must choose your field smartly for the future -
Java and Cybersecurity roles along with, network engineer, VLSI, and networking roles are always hiring. So are, product management, Salesforce, and PPM type of roles. Core fields are great but they just aren't that much in demand. Always choose IT or CS or Electrical/Networking and learn to code in Java or Javascript. You are pretty much guaranteed to get a high-paying job.
Thank you for this video. It's very useful.
perfectly explained. Thanks for the heads-up!
Glad it was helpful!
nice insight. I am finance background and aiming to develop my career as data scientist
Thank you💜️..I 'm also learning DS... your vedioes helping me too much💜️💜️
Thanku for concept your video is so helpful ❤️❤️
Dear Sundas .... Thank you very much. appreciate your explanation by simple things.🙂
thanks...!
Thanks for guiding us in an amazing way.
Love from Pakistan.
This is very helpful, thank you!!!
Glad it was helpful!
Even I am an engineer who did MBA after which I was in a manufacturing domain. And that's when I decided to jump on to the sexiest job in the world. Went for a SAS certification of data science and BAMMM !!! A year later I started working as a data scientist !!!
Please , guidelines?
Very informative 👏
How eloquent your english speaking is ! Nice
I want to become a data scientist working in the finance domain (I am not sure which division specifically for now, but I am sure its in the finance space). I know the basics of python for data science (pandas, numpy, etc) and I have done a few projects on kaggle. However, I am going to soon pursue a masters in data science and I am worried about the math. How much math is really required for data science? Intuitively, I understand why statistics plays a big role, but what about linear algebra and calculus? Like, how much of those do you need and what specific topics / learning objectives should you know before you can confidently say they are sufficient? (Sufficient to be a data scientist)
Also - I understand that data science is a huge field and different parts of data science requires different skillsets, but I am looking to be right in between data analysis and machine learning. I am very much interested in machine learning, but then again, i don't want to go too deep into it considering my calculus isn't as strong.
Any advice is much appreciated! Thank you for your time in advance!
Data Science/Machine Learning/Data Engineering/Data Analyst roles are incredibly overhyped and actually are not very rewarding. The competition is insane and getting a job takes almost 18 months of grinding to break into the industry. Plus you need a masters in Data Science to actually be considered for most roles. But even despite that, you are not considered for most jobs if you don't have work experience. To add on top of that, there are insanely long hours and crazy work pressure, but relatively low pay in these fields,,
You must choose your field smartly for the future -
Java and Cybersecurity roles along with, network engineer, VLSI, and networking roles are always hiring. So are, product management, Salesforce, and PPM type of roles. Core fields are great but they just aren't that much in demand. Always choose IT or CS or Electrical/Networking and learn to code in Java or Javascript. You are pretty much guaranteed to get a high-paying job.
Thank you for sharing such tips. keep going and do upload such videos
I am glad it's helpful. More such videos are on the way!
Thank you for your videos. I graduated in Master of data science, right now i wana review everything that I learned, could you pls make a video about preparation for interview? 🙏🏻
Data Science/Machine Learning/Data Engineering/Data Analyst roles are incredibly overhyped and actually are not very rewarding. The competition is insane and getting a job takes almost 18 months of grinding to break into the industry. Plus you need a masters in Data Science to actually be considered for most roles. But even despite that, you are not considered for most jobs if you don't have work experience. To add on top of that, there are insanely long hours and crazy work pressure, but relatively low pay in these fields,,
You must choose your field smartly for the future -
Java and Cybersecurity roles along with, network engineer, VLSI, and networking roles are always hiring. So are, product management, Salesforce, and PPM type of roles. Core fields are great but they just aren't that much in demand. Always choose IT or CS or Electrical/Networking and learn to code in Java or Javascript. You are pretty much guaranteed to get a high-paying job.
Thanks for this video.
We realy love you so much.
Thank you for watching, Amr!
I am so overwhelmed with the thought of maths, as I am from a non CS background. Could you suggest the essential topics in Maths that I should focus on?
Important topics are:- probability,sets, combination, variations, permutations, statistics etc.
Mathematical Statistics and Linear Algebra
Watch 3Blue One Brown, u'll enjoy maths 🤗
Start easy... Learn what a vector is, how to add and multiply matrices... Probability and stats are important but you can start without them. However linear algebra is something that is needed... For that mather you only need small subset of linear algebra and it is more important to learn how to implement adding or multiplying matrices in python them to learn some distant and obscure things from it.
Sundas states in this video that she would learn concepts before any coding. Learn at the theoretical level or at least close to it.
Mathematical Statistics:
If you want to parallel a college course use textbooks- college courses typically follow a textbook as a guide.
Book: Mathematical Statistics by Larsen and Marx
Videos: MIT open courseware (choose a probability and statistics class)
Linear Algebra:
Khan Academy and MIT open course ware are my favorite resources for this.
When you are done, learn to implement Matrices in R and Python.
Learn to Program, I recommend R because it's easier to implement Statistics right away. This is just to reinforce Statistics concepts. Do a Statistics path on datacamp. You are still learning statistics here.
Then Start Python.
DataCamp is a good place for all things datascience. Supplement that with the math I mentioned before.
Very Practical advice 👌 thank you
Amazing video 🔥🔥
Glad you liked it
Love From Bangladesh. Happy New year 💙💙
Everyone must know that just voz it sounds fancy dosent mean it's really FOR YOU.. N u must be in love with maths.. M
Hi Sundas, doin gr8 job, is there any playlist in sequence?
Hey Khalid, I'm 16 years old and interested in learning data science. Can I learn data science the way you said and start freelancing instead of interviewing? (Which I probably can't right now). So that I can improve the data science knowledge and also be good at it even more.
Happy New Year from Toronto Sundus.
Happy new year, Nomi!
Must to watch for beginners this video who want to start career in datascience field.
Great information.👍
Thank you so much for this video.
From?
Hi Sundas ,Excellent video .Please make a video on How I Would Learn for Machine Learning engineer role in 2022 (If I Could Start Over)
It's the project portfolio thing is my sticking point, I just lose interest very quickly. I decided to go all out and do a master degree.
Very informative video.👍👍
hey Sundas this is an amazing video. Can you also chart out a path for 'Data Analyst' ?
I'm following your videos regularly, it will be helpful for many learners who are aspiring data science .
Currently I'm studying CS . Can you please share the tips or any tools for learning statistics. I found difficulty in learning statistics.
Data Science/Machine Learning/Data Engineering/Data Analyst roles are incredibly overhyped and actually are not very rewarding. The competition is insane and getting a job takes almost 18 months of grinding to break into the industry. Plus you need a masters in Data Science to actually be considered for most roles. To add on top of that, there are insanely long hours and crazy work pressure, but relatively low pay in these fields,,
You must choose your field smartly for the future -
Java and Cybersecurity roles along with, network engineer, VLSI, and networking roles are always hiring. So are, product management, Salesforce, and PPM type of roles. Core fields are great but they just aren't that much in demand. Always choose IT or CS or Electrical/Networking and learn to code in Java or Javascript. You are pretty much guaranteed to get a high-paying job.
@@mohit4902 Thank you for your time , and your kind advice 😊 are you in Data science field?
Thanks!
Thank you!
Ma'am you are inspiration for me because I understand your concept! 👍
Amazing!
Thank you! This is really useful! Would love if you could recommend some resources for building theoretical knowledge.
woww your information is tooo good😅😮
MAM, WHICH FIELD WILL BE BEST FOR FUTURE ?(your opinion)
1.) Data Analytics, Data Science, Data Engineenering
2.) Android Development (android studio)
i'm confused that which field should i take, i have done BS(Software Engineering) and currently i'm doing internship in android development in recent 2 monnths and my father is suggesting me to take the field of Data(science,engineering,analytics)...
kindly tell me that data field is good should i take it?
Data Science/Machine Learning/Data Engineering/Data Analyst roles are incredibly overhyped and actually are not very rewarding. The competition is insane and getting a job takes almost 18 months of grinding to break into the industry. Plus you need a masters in Data Science to actually be considered for most roles. To add on top of that, there are insanely long hours and crazy work pressure, but relatively low pay in these fields,,
You must choose your field smartly for the future -
Java and Cybersecurity roles along with, network engineer, VLSI, and networking roles are always hiring. So are, product management, Salesforce, and PPM type of roles. Core fields are great but they just aren't that much in demand. Always choose IT or CS or Electrical/Networking and learn to code in Java or Javascript. You are pretty much guaranteed to get a high-paying job.
HI sundas, I like what you do and we appreciate so much , so i have discovered am struggling with probability and the statistics part of data science any insights on how to approach that will be appreciated
I was just going to ask you if you could make a video on this topic and you did 😅🙃 thanks a ton sundas !
well, looks like I read your mind :) Thanks for watching!
Would you get a master's in it? Does a master's make up or replace that experience required for so-called "entry-level" jobs?
Very good tips 😘
Hello ma'am my name is Ishita .I study in an Indian school and after 10th we need to chose a stream I'm thinking of taking up arts as i'm interested in economics, maths and fine arts. But i'm not sure which stream should i take to become a data scientist. I'm pretty good with computer and about learning python and r etc it can happen through courses.
So basically i want to ask that should i take up science in 11th and 12th ( which i don't enjoy a lot) or should i take humanities.
thanks a lot for considering. :)
hope u have a great day :))
Data Science/Machine Learning/Data Engineering/Data Analyst roles are incredibly overhyped and actually are not very rewarding. The competition is insane and getting a job takes almost 18 months of grinding to break into the industry. Plus you need a masters in Data Science to actually be considered for most roles. But even despite that, you are not considered for most jobs if you don't have work experience. To add on top of that, there are insanely long hours and crazy work pressure, but relatively low pay in these fields,,
You must choose your field smartly for the future -
Java and Cybersecurity roles along with, network engineer, VLSI, and networking roles are always hiring. So are, product management, Salesforce, and PPM type of roles. Core fields are great but they just aren't that much in demand. Always choose IT or CS or Electrical/Networking and learn to code in Java or Javascript. You are pretty much guaranteed to get a high-paying job.
I am a CS major from a reputed university, but with a career gap of 5 years. I am 32 now, can I start my data analytics/data science journey now ? Will any employer want to hire me because I am 32 already ? I am super worried right now. Mam, what are your thoughts?
How long did it took you to go from starting self-taught to getting a job in data science or data engineering?
3:45 this is all i need after reading bunch of websites and watching hours of youtube channels. Statistics is the way.
hello, Nice video but after watching it feels like this video is for people who are already into data science and how to cruise through. it doesn't explain what a beginner should do who has no knowledge on data science or a person who has no coding background. As you said from buisness background to data science, why, what, where and how part of your journey would put more insight for others to start their own..
thanks!!
You have done amazing. Pkz make video on subfields in data science
Thank you, Ali! You know it's coming :)
Usually if I want to learn something I will do some demo projects my own. but to learn data science it is very difficult to learn that way because no data available also i don’t know what data scientist do. do they collect data,clean,preprocess,then pick any algorithms then analyse result then repeat until best result is that what data scientist do or do I miss something?
This is so helpful😄
Thank you for watching!
I just confused that either i choose data science or Ai.I am planning now.
I'm from Pakistan I'm very glad after watched your vedio this thing make me productive and passionate about data science journey
I like your videos. Thanks
Amazing content
Thank you so much
solving problems in a limited time frame under a pressure setting... is that common in this roles?
I feel I coukd do everything, am also good analyzing charts, but i don't like working under pressure
Thank youuu😊
Which online DS course should i take, As there are lot of courses available on Udemy, udacity, upgrad, great learning, simplilearn etc.
Quite confused, Because there are lots of online platforms
Hi, would you be able recommend your top 3 books for starting out in data science? Thanks
Really great insight for a noob like myself.
Glad it's helpful!
Hi Sundas Khalid can you please make this one again according to current job market
Can you please discuss with example on the second thing you told in a vedio how to see in job roles and where to focus more
Thanks is very helpful