I want to become a data scientist. I have done a bootcamp only on python with all the skills you mentioned 1 year ago and have projects on this. I like mathematics a lot but i sure need guidance from a professional like you on how to land a job in the field. I need to be confident to land interviews. Can you mentor me?
I am no data scientist expert by a longshot, but I believe I know enough to say that it will be highly relevant for a long, long time simply because it involves the most prevalent thing ever that will never go away: information.
I was a design graduate who wanted to work in data and AI. RUclips taught me everything, and now I’m an AI engineer. Dedication matters more than a tech degree
SUMMARY : Step 1: Research Data Science Job Family - Explore various roles under the data science umbrella, including data scientist, data analyst, machine learning engineer, AI specialist, data engineer, analytics manager, research scientist, etc. - Understand the responsibilities and required skill sets for each role to identify your interests and goals. Step 2: Understand Layoff Statistics - Recognize that while data scientist roles were affected by layoffs, they were less affected compared to other roles like HR and software engineering. Step 3: Learn Fundamentals 3.1 Statistics: - Descriptive statistics (mean, median, mode, variance, standard deviation, frequency distribution, etc.). - Inferential statistics (probability distribution, hypothesis testing, sampling, time series analysis, etc.). 3.2 Machine Learning: - Supervised learning (linear regression, logistic regression, decision trees, random forest, neural networks, etc.). - Unsupervised learning (k-means clustering, hierarchical clustering, principal component analysis, etc.). Step 4: Coding Skills - Learn Python for data analysis (libraries like Pandas, NumPy, Matplotlib) and machine learning (libraries like Scikit-learn, TensorFlow, PyTorch). - Gain proficiency in SQL for data manipulation and querying databases. Step 5: Tools Mastery - Familiarize yourself with tools like Jupyter Notebooks and Google Colab for coding and data analysis. - Understand version control systems like Git for code management and collaboration. Step 6: Business and Product Understanding - Learn business fundamentals and product development lifecycle to understand how data science contributes to business success. - Develop communication skills to effectively convey insights and recommendations to stakeholders. Step 7: Project Portfolio - Work on a variety of projects that showcase your skills and understanding of data science concepts. - Projects could include hypothesis testing, time series forecasting, customer fraud detection, recommender systems, exploratory data analysis, etc. - Utilize free datasets from platforms like Kaggle and Google Data Search for project implementation. Step 8: Interview Preparation - Practice behavioral, coding, and case study interviews. - Be able to solve case studies demonstrating problem-solving skills and application of data science techniques. Note: - The timeline for learning these skills may vary for each individual. - Continuous learning and practice are essential for mastering data science. - Stay updated with industry trends and technologies to remain competitive in the field. This roadmap provides a structured approach to learning data science and preparing for a career in the field. Adjustments can be made based on personal interests, goals, and feedback received during the learning journey.
One statement struck me really hard and it's everything for me: "Coding is a tool, Learn the data science before the tools" We pretty much fall into this trap in the tech world, thank you very much
@@SundasKhalidHi sir,I'm recently passed out in civil engineering department. I have lot of interest in data science. I want to pursue my masters in data-science in next 2025 intake, Can you please tell me is it worthy for Masters in data-science for freshers and job opportunities
2 months into pivoting to data science after quitting my full-time job: I realised that math is everything and the programming languages are just tools to help you to use math in the digital world 😅
Thanks for your insights. I'm an ex IT professional turned restaurant manager and currently looking for a way to get back to Tech. I'm still comparing bootcamps here in Canada and I believe the most 3 that stand out are General Assembly, university of Toronto continuing studies bootcamp (run by edx but also receiving a certificate by UofT), third is lighthouse which has the best reputation but it's not as recognized as UofT. Wish me luck
Thank you for putting everything into perspective. I watch lots of videos where this terminology is bandied around, but often without context to other parts of the data world. You have clearly explained how the pieces all fit together and given us a path of logical progression. Excellent video!😃👌
Having 8 years Experience in Manual testing now i realise need setup in data science where there is good opportunities, thanks for your guidence towards data scentist role and responsibilities.
It’s crazy how it is not often said how important mathematics is in this industry. I am currently majoring in data science in college with a minor in mathematics (because I love math) and only when I started school did I find out how important mathematics is.
If you want to be competent in today’s market then you have to have advance knowledge of Statistics and Mathematics Because without these prerequisites you want be able to do even as basic bas linear regression
You covered almost every thing regarding Data science in just 14 minutes, I didn't get this much productive video on you tube so far. This will help me to build my own roadmap efficiently. Thank you Ms Sundas
I already have all the skills mentioned in the video for data scientists, but somehow it's tough to get a job as a data scientist in Indonesia. I really hope to get a job before this year ends.
Hey Sundas, thanks a lot for the video. I started my journey 2 months ago as an ex-product person. Now I have a baby and want to jump on this field. And I came across to you channel and found it very useful,(especially someone who needs advice who has experience). Thanks again ❤
Great video. But I wanted to know whether is there a channel for the Business Understanding and product development. Could you please suggest some resources it'll be really very helpful. Also a book for Statistics and advanced statistics
Time line is simplisitic. The stats alone is one year of uni-level study. The probability is another and assumes you know multivariable calculus. Then, and only then, can you go on to stochastic processes and then time series analysis. O/w you will be at a serious loss in abstract understanding. The coding part is reletively simple.
Thank you so much Sundas. I am currently is an Android Developer and planning to switch my career to Data Scientist. I found this video very helpful. Your contents are amazing! hoping to see more videos from you .
I am in the process of becoming a data analyst through Career Foundry. The information you provided has been incredibly valuable. I was not aware of the importance of mathematics and statistics in machine learning until I watched this video. Thanks
Where do you see yourself after completing the course from career foundry? Is it worth for me to start the course of data analyst from career foundry? I have done my graduation in statistics and teaching statistics for the last seven years..
This was incredibly informative; thank you! Quick question: I’m currently considering going back to school for a Master’s in Data Analytics and Information Systems, given that I have a BS in Public Relations. Do you think pursuing this degree is necessary to be more competitive in the job market, or do you believe the skills mentioned in this video can be effectively self-taught? I understand you're not an advisor, and I’m not taking your word as definitive, but I’d appreciate your opinion on the matter.
Well said that “Coding is just an tool by which we can apply machine learning models to generate solutions”. Because we have to be a problem solver❤❤❤❤❤
Thank you so much Sundas for the insights.l have been stuck for quite some time to define my data science roadmap, now is clear .This video is the best l had ever seen!
a few months ago i watched this video and followed information in it properly and learned all what needs to be learned and building projects at the moment to perfect portfolio, making a resume and will start applying shortly. thnaks a lot sundas. I am coming from a 16 years of experience in business development in tech and graduated from business major, do you think my transition to data science role is a possibility? i hope to hear from you. appreciated
Im a recent cs graduate with no work experience at all. My favorite classes were by far my senior classes on machine learning, databases, and data science. So i wanted to get a job in data science. Should I first try to get a job as a software developer or something similar first or should I try to shoot for being a data scientist. I've always enjoyed math so the statistics isn't an issue for me.
@@iqrafatima5549 it’s called TripleTen data science bootcamp. If you get referral you get 25% off the bootcamp. Let me know if you want referral code. I’m halfway thru it and enjoying it a lot
Please, just need some advice from you. I am currently a student of Data Science and plan on starting content creation to guide and educate people who are new to the field. What advice will you give me? Thanks!
It's clear and precise! Thank you very much. Could you please provide us with a tutorial on 'Applying Data Science to Cybersecurity'? We're interested in learning how to study Data Science in the context of Cybersecurity.
Hey i am not scared of math but i am scared of calculus and I don't enjoy single second trying to do calculus! Do you think i can just pass in data scientist role with very small knowledge or no knowledge of calculus or i need to rethink my descision on becoming a data scientist?
Thank you for this video. I guess one should enroll for a 2 years course to become data scientist and cannot be done in few months. I understand that now.
Watching you for the first time, I found you awesome. I wish I could have discovered you a little earlier. Muhammad Mohsin from Lahore, Pakistan. Soon I'll be giving you good news about my career as a data scientist. Thank you, so much dear Mam, for your kind guidance.
why limit yourself to location? data science/ml has plenty of remote jobs, even at entry level. better have plenty of projects to show for it though, no different than any other job.
Maybe it's not appropriate to judge whether the magnitude of laid off numbers toward data scientists is big or not. The absolute numbers vary greatly between different roles (such as SWE, DS, HR, ...), making it difficult to assess based solely on the laid-off groups.
That’s fair. There are far more SWEs than data science folks. The study is also dependent on self-reporting so could be biased due to that (like most self-reported studies) but that’s the numbers we have. If you have additional insights, would love to hear.
Thank you so much Sundas Khalid for this inspiring video. I am in the process of becoming data scientist, however I have conflicting thoughts, now am pursuing my bachelor degree in sustainable development and also am interested in data science. How can I do that? Is there a way I can use data science to complement sustainable development?.
I have covered machine learning and deep learning concepts, i am also persuing my honors in aiml, and i have good enough understanding of statistics, not for being a data scientist should i persue data analyst skillset also (I plan to take the goole's data analyst certification)?
Realistically should expect to learn all of this if they are fully green and think you are going to learn this via YT/Khan Academy and automatically become a data scientist in a year not even 3 years. My recommendation is start as a project manager over data lake or similar projects and then slowly learn these skills otj and transfer internally to that role. Learning statistics alone is enuff to gray your entire head!
Boom , you have done a great job and the ideas you provided so informative and helpful. One thig just want to ask, for those who above 40s, this road map is recommended or some other ways to swith or upgrade skills after 40 or even 50
Your video motivates and encourages me because it tells a wonderful success story. Please explain to us in another video the most important courses or schools that help us obtain a data science degree in America, and the study will be online because I live in the Middle East.
You're sharing amazing knowledge regarding Date science I really like it This video deserves millions of views and likes Keep sharing amazing knowledge
Thank you for sharing your insights. Could you give an example where understanding the math foundation behind data science helps your day to day as a data scientist? The only time when I found math/statistics to be helpful is analyzing A/B test results. I still have a lot to learn but do most data scientists who aren’t AI/ML engineers apply the mathematical knowledge in their job?
Thank you so much Actually I'm so excited for learning the data science but I'm don't have enough money for buying laptop for starting ☹️ How do I find organizations that give grants to buy a laptop for learning?
Hello Sundas, I missed figuring out books that you recommended in one video. You clearly explained O'Reilly Python & Machine Learning books. I am missing which video is that? Can you help me with the video of that.
Hi, Ma'am! Thanks for the guidance on how to learn Data Science. Can you please let me know how much knowledge of Data Structures and Algorithms we need to clear interviews for roles such as Data Scientist, Machine Learning Engineer, AI Engineer, or Data Engineer at top companies?
How is the Julia language doing in Data Science? Did it get some interest but dropped off, or still too little known at this point? I find it fantastic for physics and math research, and it looks like a great tool for DS and ML in the near future.
I am an accountant and planning to make a career switch to data scientist. Do you think I have take a part-time IT degree to become a data scientist role?
hello first of all thank you very much as your video is very successful and intuitive I think for people who confused in this area with the redundant and wrong information, I woul dlike ask how AI will effect data science world? after 5 years do you think companies still need human data scientists?
I just graduated from BTech CSE , can I still start learning Data Science and get a job in it or should I choose any other field ? I'm kinda getting serious about jobs now 🙃. Do I still have hope?
You definitely have and you can do for sure... It's never too late.. This time do your research throughly on field you are interested in and follow the roadmap with passion and consistency then you will be soon there... Personal advice mm don't loose sleep to avoid burnouts
I'm currently in school and was deciding specifically between Cybersecurity and Data Science. A lot of the problem I'm seeing is when I'm getting salary quotes people are talking about Data Analyst but quoting Data Scientist pay. A degree in Computer Science is a career change for me, so I'm not sure I have time to go straight into a master's program. Is there a way to go straight in to Data Science with just a BS in Computer Science? I'm also VERY interested in WFH, my mom worked from home from 97-17 for IBM as a Data Analyst. Is there a better path to get than either Cybersecurity or Data Science? I'm only in semester 3 of my post-bacc so learning now would be great.
I think CS helps with coding skills and thinking patterns. But no matter what you end up choosing, it will be helpful to take a few math and stats classes. I have a background in math and stats which are easy for me, but I regret not taking any coding classes (esp python). You also should take probability classes too.
I have a question: I am a biology graduate (studied in French). I am planning to shift to data science. I’ve seen in many comments and posts that to be a data scientist, you need to learn statistics because it’s the core of data science. I want to obtain a university degree to ensure I have a good understanding of this field and leave room for future career development. I am committed to this path; I know it will be long and hard, but I want to choose the right undergraduate path. Should I study computer science because I have no knowledge of programming and coding, or should I major in statistics and add data analytics as a minor? Alternatively, is a community college sufficient to avoid wasting time and start learning while working, or should I just take a certificate on Coursera or any institute to become a data analyst and then start my journey to reach the highest position level? I am so confused; please help
![Felix "Unfair" | [Stray Kids : SKZ-PLAYER]](http://i.ytimg.com/vi/Oswujxm2Ag0/mqdefault.jpg)
Thanks for watching! What are your thoughts on the future of data science career?
I saw a report from the World Economic Forum and it said that the demand for data scientists will grow until 2030. I'm studying to be a data analyst
I want to become a data scientist. I have done a bootcamp only on python with all the skills you mentioned 1 year ago and have projects on this. I like mathematics a lot but i sure need guidance from a professional like you on how to land a job in the field. I need to be confident to land interviews. Can you mentor me?
Future of Data science is expanding but why is there difficulty to break into for fresh professional.
I was thinking to jump in this growing field of data science but had no idea how to start. Now, I got track how to start.. this motivated me
I am no data scientist expert by a longshot, but I believe I know enough to say that it will be highly relevant for a long, long time simply because it involves the most prevalent thing ever that will never go away: information.
I was a design graduate who wanted to work in data and AI. RUclips taught me everything, and now I’m an AI engineer. Dedication matters more than a tech degree
Please which video did you watch on RUclips to learn?
SUMMARY :
Step 1: Research Data Science Job Family
- Explore various roles under the data science umbrella, including data scientist, data analyst, machine learning engineer, AI specialist, data engineer, analytics manager, research scientist, etc.
- Understand the responsibilities and required skill sets for each role to identify your interests and goals.
Step 2: Understand Layoff Statistics
- Recognize that while data scientist roles were affected by layoffs, they were less affected compared to other roles like HR and software engineering.
Step 3: Learn Fundamentals
3.1 Statistics:
- Descriptive statistics (mean, median, mode, variance, standard deviation, frequency distribution, etc.).
- Inferential statistics (probability distribution, hypothesis testing, sampling, time series analysis, etc.).
3.2 Machine Learning:
- Supervised learning (linear regression, logistic regression, decision trees, random forest, neural networks, etc.).
- Unsupervised learning (k-means clustering, hierarchical clustering, principal component analysis, etc.).
Step 4: Coding Skills
- Learn Python for data analysis (libraries like Pandas, NumPy, Matplotlib) and machine learning (libraries like Scikit-learn, TensorFlow, PyTorch).
- Gain proficiency in SQL for data manipulation and querying databases.
Step 5: Tools Mastery
- Familiarize yourself with tools like Jupyter Notebooks and Google Colab for coding and data analysis.
- Understand version control systems like Git for code management and collaboration.
Step 6: Business and Product Understanding
- Learn business fundamentals and product development lifecycle to understand how data science contributes to business success.
- Develop communication skills to effectively convey insights and recommendations to stakeholders.
Step 7: Project Portfolio
- Work on a variety of projects that showcase your skills and understanding of data science concepts.
- Projects could include hypothesis testing, time series forecasting, customer fraud detection, recommender systems, exploratory data analysis, etc.
- Utilize free datasets from platforms like Kaggle and Google Data Search for project implementation.
Step 8: Interview Preparation
- Practice behavioral, coding, and case study interviews.
- Be able to solve case studies demonstrating problem-solving skills and application of data science techniques.
Note:
- The timeline for learning these skills may vary for each individual.
- Continuous learning and practice are essential for mastering data science.
- Stay updated with industry trends and technologies to remain competitive in the field.
This roadmap provides a structured approach to learning data science and preparing for a career in the field. Adjustments can be made based on personal interests, goals, and feedback received during the learning journey.
Underrated comment. Thank you!
Honey your comment 💖😭😭💖💖🌸
😮 thank you so much for this summary😊
Thank you so much ❤❤
Thanks chatgpt
One statement struck me really hard and it's everything for me:
"Coding is a tool, Learn the data science before the tools"
We pretty much fall into this trap in the tech world, thank you very much
We sure do.
@@SundasKhalidHi sir,I'm recently passed out in civil engineering department. I have lot of interest in data science. I want to pursue my masters in data-science in next 2025 intake, Can you please tell me is it worthy for Masters in data-science for freshers and job opportunities
2 months into pivoting to data science after quitting my full-time job: I realised that math is everything and the programming languages are just tools to help you to use math in the digital world 😅
Hey, how are you learning, what resources are you using, can u tell me a bit as I also want to start
What to do when maths is not coming?
@@NorthstarrrrrrrThen you go to maths
So extensive maths calculations are required for data science??
Omg!
This is probably the best data science roadmap video I have come across.
1:31
1.Coding is only a tool for leaning statistics and machine learning.
2.Descriptive and Inferential statistics
5:51
13:01
Thanks for your insights. I'm an ex IT professional turned restaurant manager and currently looking for a way to get back to Tech.
I'm still comparing bootcamps here in Canada and I believe the most 3 that stand out are General Assembly, university of Toronto continuing studies bootcamp (run by edx but also receiving a certificate by UofT), third is lighthouse which has the best reputation but it's not as recognized as UofT.
Wish me luck
I think at this point you are better off getting a master's degree since the job market is so competitive that an MS is a minimum requirement now.
Thank you for putting everything into perspective. I watch lots of videos where this terminology is bandied around, but often without context to other parts of the data world. You have clearly explained how the pieces all fit together and given us a path of logical progression. Excellent video!😃👌
Having 8 years Experience in Manual testing now i realise need setup in data science where there is good opportunities, thanks for your guidence towards data scentist role and responsibilities.
Thank you Sundas! Started my journey about 1 month ago, and found this very helpful!
It’s crazy how it is not often said how important mathematics is in this industry. I am currently majoring in data science in college with a minor in mathematics (because I love math) and only when I started school did I find out how important mathematics is.
If you want to be competent in today’s market then you have to have advance knowledge of Statistics and Mathematics
Because without these prerequisites you want be able to do even as basic bas linear regression
You covered almost every thing regarding Data science in just 14 minutes, I didn't get this much productive video on you tube so far. This will help me to build my own roadmap efficiently. Thank you Ms Sundas
One of the most realistic roadmap till date!!
Loved it!!
Need How to land a job as Data Scientist because You cook RUclips videos Crystal Clear. I like it.
Thanks for clarifying the indepth concepts of Data Science field, because many of the students think that python is Data Science.😅
It’s a big misconception.
*Hi Sundas! This what I need. This video will be helpful. Thank you for sharing about how to become data scientist in 2024. Keep up! 🍁🌿*
i wasted a week watching totally wrong roadmaps and trying to learn R programming first. but im happy that i wasted only a week. thanks for the video!
I already have all the skills mentioned in the video for data scientists, but somehow it's tough to get a job as a data scientist in Indonesia. I really hope to get a job before this year ends.
Best video yet. Very informative, great details. Thank you
Hey Sundas, thanks a lot for the video. I started my journey 2 months ago as an ex-product person. Now I have a baby and want to jump on this field. And I came across to you channel and found it very useful,(especially someone who needs advice who has experience). Thanks again ❤
Great video. But I wanted to know whether is there a channel for the Business Understanding and product development. Could you please suggest some resources it'll be really very helpful. Also a book for Statistics and advanced statistics
Time line is simplisitic. The stats alone is one year of uni-level study. The probability is another and assumes you know multivariable calculus. Then, and only then, can you go on to stochastic processes and then time series analysis. O/w you will be at a serious loss in abstract understanding. The coding part is reletively simple.
You've been most helpful. I'm glad I found your channel.
Thank you.
Thank you so much Sundas. I am currently is an Android Developer and planning to switch my career to Data Scientist. I found this video very helpful. Your contents are amazing! hoping to see more videos from you .
I am in the process of becoming a data analyst through Career Foundry. The information you provided has been incredibly valuable. I was not aware of the importance of mathematics and statistics in machine learning until I watched this video. Thanks
is it only for us students?
@@PDSREACTION No, Anyone can sign up, but the promise of a job is only for students in the US, UK, Canada, Australia, and European countries.
Where do you see yourself after completing the course from career foundry? Is it worth for me to start the course of data analyst from career foundry? I have done my graduation in statistics and teaching statistics for the last seven years..
Thanks for content 📚 📖 Self learning love this way
Well I just completed my intermediate and picked this course, randomly and here what I have . Should seen this seen before
This was incredibly informative; thank you! Quick question: I’m currently considering going back to school for a Master’s in Data Analytics and Information Systems, given that I have a BS in Public Relations. Do you think pursuing this degree is necessary to be more competitive in the job market, or do you believe the skills mentioned in this video can be effectively self-taught? I understand you're not an advisor, and I’m not taking your word as definitive, but I’d appreciate your opinion on the matter.
please kindly make a roadmap video for data engineering
Well said that “Coding is just an tool by which we can apply machine learning models to generate solutions”. Because we have to be a problem solver❤❤❤❤❤
Can I like this video, a billion times?
Great video, so much information, thank you!
Thank you so much Sundas for the insights.l have been stuck for quite some time to define my data science roadmap, now is clear .This video is the best l had ever seen!
a few months ago i watched this video and followed information in it properly and learned all what needs to be learned and building projects at the moment to perfect portfolio, making a resume and will start applying shortly. thnaks a lot sundas. I am coming from a 16 years of experience in business development in tech and graduated from business major, do you think my transition to data science role is a possibility? i hope to hear from you. appreciated
Is it worth to switch from frontend web development to data science?
Even I did the same ! I didn't face any issues
How much 'Google Data Analytics' & 'Google Advanced Data Analytics' courses can help me to be a data scientist?
Please, educate me.
Please share your all favourite resources to learn data science it really needed
Im a recent cs graduate with no work experience at all. My favorite classes were by far my senior classes on machine learning, databases, and data science. So i wanted to get a job in data science. Should I first try to get a job as a software developer or something similar first or should I try to shoot for being a data scientist. I've always enjoyed math so the statistics isn't an issue for me.
Me too and that’s why I’m doing DS bootcamp along with my degree
@@BlossomBerry94can you tell me more about this bootcamp? I am pursuing a degree in mathematics and want to do something along with it
@@iqrafatima5549 it’s called TripleTen data science bootcamp. If you get referral you get 25% off the bootcamp. Let me know if you want referral code. I’m halfway thru it and enjoying it a lot
I will make a challenge with my self i will go with this roadmap and upadate every week until i get job or interview 28/5/2024
The value of this video is so immense.
Please, just need some advice from you. I am currently a student of Data Science and plan on starting content creation to guide and educate people who are new to the field. What advice will you give me? Thanks!
It's clear and precise! Thank you very much. Could you please provide us with a tutorial on 'Applying Data Science to Cybersecurity'? We're interested in learning how to study Data Science in the context of Cybersecurity.
Hey i am not scared of math but i am scared of calculus and I don't enjoy single second trying to do calculus! Do you think i can just pass in data scientist role with very small knowledge or no knowledge of calculus or i need to rethink my descision on becoming a data scientist?
Making notes......so so helpful...thanks so much Sundas!
Great video and concepts covered. Thanks a lot!
This is really helpful. Thankyou for your insights
Thank you for this video. I guess one should enroll for a 2 years course to become data scientist and cannot be done in few months. I understand that now.
Watching you for the first time, I found you awesome. I wish I could have discovered you a little earlier.
Muhammad Mohsin from Lahore, Pakistan.
Soon I'll be giving you good news about my career as a data scientist.
Thank you, so much dear Mam, for your kind guidance.
please answer one question of mine - How likely is it that I get a job as a fresher in data science in Canada?
why limit yourself to location? data science/ml has plenty of remote jobs, even at entry level. better have plenty of projects to show for it though, no different than any other job.
What IS the best data job
Thank you for sharing such a great Informative video☺
amazing indepth video thankyou so much mam really needed this
Thank you for the content you are the best ❤️much love ❤️
Maybe it's not appropriate to judge whether the magnitude of laid off numbers toward data scientists is big or not. The absolute numbers vary greatly between different roles (such as SWE, DS, HR, ...), making it difficult to assess based solely on the laid-off groups.
That’s fair. There are far more SWEs than data science folks. The study is also dependent on self-reporting so could be biased due to that (like most self-reported studies) but that’s the numbers we have. If you have additional insights, would love to hear.
@@SundasKhalid❤
Highly informative and perspective 💯✔️
Thank you so much Sundas Khalid for this inspiring video. I am in the process of becoming data scientist, however I have conflicting thoughts, now am pursuing my bachelor degree in sustainable development and also am interested in data science. How can I do that? Is there a way I can use data science to complement sustainable development?.
i really think like you that python is a tool i learn basics of python now i follow your roadmap inshaAllah
I have covered machine learning and deep learning concepts, i am also persuing my honors in aiml, and i have good enough understanding of statistics, not for being a data scientist should i persue data analyst skillset also (I plan to take the goole's data analyst certification)?
Realistically should expect to learn all of this if they are fully green and think you are going to learn this via YT/Khan Academy and automatically become a data scientist in a year not even 3 years. My recommendation is start as a project manager over data lake or similar projects and then slowly learn these skills otj and transfer internally to that role. Learning statistics alone is enuff to gray your entire head!
Thanks for your break down. I'm sort of breaking into this but more UX.
Boom , you have done a great job and the ideas you provided so informative and helpful. One thig just want to ask, for those who above 40s, this road map is recommended or some other ways to swith or upgrade skills after 40 or even 50
The amount of gravity & clear roadmap this video has provided is commendable. Thank you so much! This has solved my purpose.
I appreciate you are giving priceless pieces of information
Thank you for your valuable information.
Your video motivates and encourages me because it tells a wonderful success story.
Please explain to us in another video the most important courses or schools that help us obtain a data science degree in America, and the study will be online because I live in the Middle East.
You're sharing amazing knowledge regarding Date science
I really like it
This video deserves millions of views and likes
Keep sharing amazing knowledge
Thank you Sundas, would you please make a video on improving communication skills for data scientists?
Thanks for watching :) I noted down the idea.
Thank you for sharing your insights. Could you give an example where understanding the math foundation behind data science helps your day to day as a data scientist? The only time when I found math/statistics to be helpful is analyzing A/B test results. I still have a lot to learn but do most data scientists who aren’t AI/ML engineers apply the mathematical knowledge in their job?
This is amazing, you did a great job. I love you
Thank you so much :)
Thank you so much
Actually I'm so excited for learning the data science but I'm don't have enough money for buying laptop for starting ☹️
How do I find organizations that give grants to buy a laptop for learning?
I am here after Codanics channel. He used your example and I search you.
perfect video! thanks
Hi..Is it lots of makeup on skin to make it red blushing or it's natural ?
Hello Sundas, I missed figuring out books that you recommended in one video. You clearly explained O'Reilly Python & Machine Learning books. I am missing which video is that? Can you help me with the video of that.
Hi, Ma'am! Thanks for the guidance on how to learn Data Science. Can you please let me know how much knowledge of Data Structures and Algorithms we need to clear interviews for roles such as Data Scientist, Machine Learning Engineer, AI Engineer, or Data Engineer at top companies?
what about NLP? please Help, i am trying to decide between Data Science or NLP, are they the same?
Do I need certifications to get a job - apart from the skill sets u possess and projects u've undertaken?
thanks for your data science videos
This is golden!
This is really a good video❤
How is the Julia language doing in Data Science? Did it get some interest but dropped off, or still too little known at this point? I find it fantastic for physics and math research, and it looks like a great tool for DS and ML in the near future.
Very helpful video. Thank you.
I am an accountant and planning to make a career switch to data scientist. Do you think I have take a part-time IT degree to become a data scientist role?
Always helpful content. Thank you
please bring a session how to to do revision for data science concepts in a fast and effective way
thank you this video really helped me alot......
I am having interest in coding so can you guide me should I do BS DS or BS AI
Good thoughts on this crucial topic.
Is it good for a experienced developer to switch to data science?
You are amazing! Thank you
Plz tell the best books for data science
hello first of all thank you very much as your video is very successful and intuitive I think for people who confused in this area with the redundant and wrong information, I woul dlike ask how AI will effect data science world? after 5 years do you think companies still need human data scientists?
I just graduated from BTech CSE , can I still start learning Data Science and get a job in it or should I choose any other field ? I'm kinda getting serious about jobs now 🙃. Do I still have hope?
You definitely have and you can do for sure... It's never too late.. This time do your research throughly on field you are interested in and follow the roadmap with passion and consistency then you will be soon there... Personal advice mm don't loose sleep to avoid burnouts
I'm currently in school and was deciding specifically between Cybersecurity and Data Science. A lot of the problem I'm seeing is when I'm getting salary quotes people are talking about Data Analyst but quoting Data Scientist pay. A degree in Computer Science is a career change for me, so I'm not sure I have time to go straight into a master's program. Is there a way to go straight in to Data Science with just a BS in Computer Science? I'm also VERY interested in WFH, my mom worked from home from 97-17 for IBM as a Data Analyst. Is there a better path to get than either Cybersecurity or Data Science? I'm only in semester 3 of my post-bacc so learning now would be great.
I think CS helps with coding skills and thinking patterns. But no matter what you end up choosing, it will be helpful to take a few math and stats classes. I have a background in math and stats which are easy for me, but I regret not taking any coding classes (esp python). You also should take probability classes too.
I have a question: I am a biology graduate (studied in French). I am planning to shift to data science. I’ve seen in many comments and posts that to be a data scientist, you need to learn statistics because it’s the core of data science. I want to obtain a university degree to ensure I have a good understanding of this field and leave room for future career development. I am committed to this path; I know it will be long and hard, but I want to choose the right undergraduate path. Should I study computer science because I have no knowledge of programming and coding, or should I major in statistics and add data analytics as a minor? Alternatively, is a community college sufficient to avoid wasting time and start learning while working, or should I just take a certificate on Coursera or any institute to become a data analyst and then start my journey to reach the highest position level? I am so confused; please help
Sadly for fresher getting into this job is near impossible
Yes it is don't do only data scientist, understand what you wanna do ,like example learn Business analyst+ data scientist
Newbie here. I recently enrolled in Eastern University MS in Data Science. If anyone is familiar with that program your feedback would be golden
Hello there... I'm a 10th grader and can you please tell me if you learnt coding before pursuing Data science? Thankyou