Good question haha. I think the science comes in the form of "Scientific Method" or hypothesis testing. This would be part of the model building or exploration portion. I hope this helps!
Hey Ken, nice video! I have a quick question, do you happen to work alot with data structures (Ex. linked list, pointers, trees) within the data science field? I struggled alot to understand these concepts and it was especially hard since everything was online :(
THANKS for uploading good videos for data science.. I have watched your all videos. Can you make a video on what type of project we can make to put it on our resume and learn from it . It would be a great pleasure if you make a beginner to pro. Thank you.
Thanks for watching my videos! I can definitely make one relating to that topic. I touch on this a little bit in my video on how I got my first data science internship (ruclips.net/video/T77uVbLhroQ/видео.html), but I can definitely make another video to expand on this topic more!
Hi Ken, it was really great video.. Need your suggestion here... I am currently working as Tech support in well known Firewall company, but I want to get out of Support, as I do not find rotating shifts good in long run. I am thinking to get into Data science. It will be kind of new field for me, however I know Python basics. Is Data scientist Job stressful? How much time it take an average to learn tools and tech for DS.
I wouldn't say it is stressful per se. However, there is a fairly large learning curve. I would say it would take most people about 1 full year of continuous study to learn enough to get a job. I think the stress of the role depends greatly on the specific company you are working at. Some may be high stress, and others will be on the lower end of the spectrum.
wow, this really punched me, because I am in a very similar situation. I have been working in the support dep of a software company for almost two years and I am not motivated at all in this job so I was thinking in a career change, but my main problem is not knowing what I want to work in... Data science is something I am researching about more and more because I consider it a good possibility ( this is how I discovered Ken's channel and how I found this comment) and I already have a basic command in Python. I hope you can find a job that fits you better, and thanks Ken for your videos and insights :)
As a 15 year old sophomore. What are your tips for getting well versed in the field of data science. Im taking ap statistics my junior year so that should help some what, and I will also be taking ap calculus. Do you reccomend a job shadow?
That is awesome that you're interested in the field at your age! I recommend starting to learn programming as soon as you can. kaggle.com is a good place to start practicing some data as well. A job shadow is an awesome idea too!
The steps are really helpful for me but I have one doubt about How to check whether my system or laptop will be compatible for a specific project? When I start doing project I invest more amount of time in doing installation and facing hardware comparability issues......
I have a BS in economics, a MS in global commerce, and a MS in Computer Science. Looking back, you really just need a BS degree. Internships, research, and project experience are the most important things for landing a job. You can accumulate these regardless of your major. I hope this helps!
I am a web developer with 2 year work experience in korea. I plan to move to us after getting married with my boyfriend(us citizen) and work as a data scientist. Im worried with my english. My english might be ok to handle daily bussiness/situations . I first thought that technical skills might be the most crucial to data scientists. But I recently got to know that consulting is a part of data scientists' work. To me, consulting is considered as an area which requires high level english skills. How important enlgish skills do you think to data scientists?!
I think that english is pretty important, however; written communication could be your friend. Most of the way we communicate in the office now is written (email, slack, teams, etc.), so if you show strong english understanding through writing, I think you will be fine on the job. I would try to show your strength in this during the interviews as well too. I hope this helps!
Thanks for watching! In terms of change, I think we are in the process of it now. Maybe less hands on coding and more prompting. Less searching on stack overflow and more using LLMs
#31: IT jobs have similar activities, but obviously, DS has a lot of percentage in data 📊 I remember doing those activities years ago but is not IT Analyst called anymore, now has the fancy name #DataAnalyst #66daysofdata
I'm not sure if you would respond to this but in Australia you can do a double bachelor's degree: mathematics and data science. Do you think the mathematics is worth it.
Hi, i've got a BSc in Mathematics and ML (mostly supervised learning) , the mathematics are really important in data science, you gonna need a good background in the following topics: 1. Linear algebra. 2. Statistics and Probability. 3. Optimization/Approximation Theory. 4. Multivariable calculus. 5. Numerical linear algebra / numerical Analysis. 6*. Data structures / Algorithms & computational complexity/ Discrete mathematics. In my opinion it's worth doing.
I mostly work on just querying, data manipulation and software engineering . Is it actually Data Science? How can I build on this to become a Data Scientist? Thank you for helping everyone!
Your existing work is about half way there! I recommend getting familiar with the 3 main types of data science problems (Classification, Regression, and Clustering). You can learn about these and most of the relevant skills on kaggle.com! I hope this helps!
@@KenJee_ds Thank you Ken for the reply. I'm familiar with the concepts. Is it ok to work with scikit learn? In most companies do they work with just the package or develop algorithms groundup problem specific?
It really depends, but I think a CS background is fairly desirable. A double major in that and statistics would likely take you the furthest. Not to say it is required though!
@@srujithsunny6022 It may not be the best fit. You could work as a data analyst though and use mostly BI tools like tableau and power bi. Not much or any coding needed there!
@@KenJee_ds Than you Ken! How will be carrer path of data analyst down the line. Does he remain as data analyst through out. Also I have heard the salary is very minimum 60-70k for data analyst. Is that true.If not I will go for devops or something thing like that .Please Ken I want your suggestion regarding. Also I can code now and then when required. But I don't enjoy it doing everyday and out.
Thanks Ken, i am due to a career change here, i want to study data science and i have found your overview here extremely useful.
Glad to hear it was helpful! Thanks for watching!
same
This was helpful! But I still....wonder....where does the actual Science come in to the picture?
Good question haha. I think the science comes in the form of "Scientific Method" or hypothesis testing. This would be part of the model building or exploration portion. I hope this helps!
I'm looking into this field and this video was really helpful! Thank you for your insight!
Thanks for watching! I am glad it was helpful!
Hey Ken, nice video! I have a quick question, do you happen to work alot with data structures (Ex. linked list, pointers, trees) within the data science field? I struggled alot to understand these concepts and it was especially hard since everything was online :(
I haven't really worked with any of those since grad school
THANKS for uploading good videos for data science.. I have watched your all videos. Can you make a video on what type of project we can make to put it on our resume and learn from it . It would be a great pleasure if you make a beginner to pro. Thank you.
Thanks for watching my videos! I can definitely make one relating to that topic. I touch on this a little bit in my video on how I got my first data science internship (ruclips.net/video/T77uVbLhroQ/видео.html), but I can definitely make another video to expand on this topic more!
Hi Ken, it was really great video.. Need your suggestion here...
I am currently working as Tech support in well known Firewall company, but I want to get out of Support, as I do not find rotating shifts good in long run.
I am thinking to get into Data science. It will be kind of new field for me, however I know Python basics.
Is Data scientist Job stressful?
How much time it take an average to learn tools and tech for DS.
I wouldn't say it is stressful per se. However, there is a fairly large learning curve. I would say it would take most people about 1 full year of continuous study to learn enough to get a job.
I think the stress of the role depends greatly on the specific company you are working at. Some may be high stress, and others will be on the lower end of the spectrum.
That's helpful!! Thank you very much Ken! :)
wow, this really punched me, because I am in a very similar situation. I have been working in the support dep of a software company for almost two years and I am not motivated at all in this job so I was thinking in a career change, but my main problem is not knowing what I want to work in... Data science is something I am researching about more and more because I consider it a good possibility ( this is how I discovered Ken's channel and how I found this comment) and I already have a basic command in Python.
I hope you can find a job that fits you better, and thanks Ken for your videos and insights :)
As a 15 year old sophomore. What are your tips for getting well versed in the field of data science. Im taking ap statistics my junior year so that should help some what, and I will also be taking ap calculus. Do you reccomend a job shadow?
That is awesome that you're interested in the field at your age! I recommend starting to learn programming as soon as you can. kaggle.com is a good place to start practicing some data as well. A job shadow is an awesome idea too!
@@KenJee_ds Is python the main code used by data scientists
The steps are really helpful for me but I have one doubt about How to check whether my system or laptop will be compatible for a specific project? When I start doing project I invest more amount of time in doing installation and facing hardware comparability issues......
I recommend using virtual machines like google colab or kaggle when starting out. It will help you avoid the compatibility issues to start.
@@KenJee_ds yes I then used tensorboard for it...
From Today I start Learn Data Science From This Channel. I Don't Have Any Degrees 😂?
Amazing! Data science can be done by anyone regardless of degrees
What education/diploma/degree do you have/need to become a data scientist?
I have a BS in economics, a MS in global commerce, and a MS in Computer Science. Looking back, you really just need a BS degree. Internships, research, and project experience are the most important things for landing a job. You can accumulate these regardless of your major. I hope this helps!
Nice Simple Beginning without the fancy graphics and music :-)
I am a web developer with 2 year work experience in korea. I plan to move to us after getting married with my boyfriend(us citizen) and work as a data scientist. Im worried with my english. My english might be ok to handle daily bussiness/situations . I first thought that technical skills might be the most crucial to data scientists. But I recently got to know that consulting is a part of data scientists' work. To me, consulting is considered as an area which requires high level english skills. How important enlgish skills do you think to data scientists?!
I think that english is pretty important, however; written communication could be your friend. Most of the way we communicate in the office now is written (email, slack, teams, etc.), so if you show strong english understanding through writing, I think you will be fine on the job. I would try to show your strength in this during the interviews as well too. I hope this helps!
Do you usually use tools such as clustering, dimensionality reduction, association rule mining, neural networks?
I probably use clustering the most in my work. The others are less common in my specific domain
Thanks, Ken! Great video. Has anything changed in the past three years, with respect to the more recent advances?
Thanks for watching! In terms of change, I think we are in the process of it now. Maybe less hands on coding and more prompting. Less searching on stack overflow and more using LLMs
how often do you write your models from scratch instead of using library imports?
Almost never haha
hi. I had a question. is there are something different data science and data scientist or are they same
Data scientists do data science. One is the profession and the other is the person that does the job. I hope this helps!
do you think statistics as a major is a nice foundation while also learning python on the side?
I do!
#31: IT jobs have similar activities, but obviously, DS has a lot of percentage in data 📊
I remember doing those activities years ago but is not IT Analyst called anymore, now has the fancy name #DataAnalyst #66daysofdata
times are changing!
I'm not sure if you would respond to this but in Australia you can do a double bachelor's degree: mathematics and data science. Do you think the mathematics is worth it.
Hi, i've got a BSc in Mathematics and ML (mostly supervised learning) , the mathematics are really important in data science, you gonna need a good background in the following topics:
1. Linear algebra.
2. Statistics and Probability.
3. Optimization/Approximation Theory.
4. Multivariable calculus.
5. Numerical linear algebra / numerical Analysis.
6*. Data structures / Algorithms & computational complexity/ Discrete mathematics.
In my opinion it's worth doing.
@@giannismaris13 I appreciate it, thanks!
I would echo what Charlotte said!
I mostly work on just querying, data manipulation and software engineering . Is it actually Data Science? How can I build on this to become a Data Scientist? Thank you for helping everyone!
Your existing work is about half way there! I recommend getting familiar with the 3 main types of data science problems (Classification, Regression, and Clustering). You can learn about these and most of the relevant skills on kaggle.com! I hope this helps!
@@KenJee_ds Thank you Ken for the reply. I'm familiar with the concepts. Is it ok to work with scikit learn? In most companies do they work with just the package or develop algorithms groundup problem specific?
Thank you sir ⚡
Thanks for watching!
Quick question : what tech or languages do I need to learn to be a data scientist?
Python or R
SQL too
Ev nailed it
I'll build you a database that can automate all your transactions as long as you are with me.
Even I understand little of your work as long as your true come over here.
Data science is worse or best field?
I think it is a good field, but it all depends on if it is a good fit for you!
@@KenJee_ds I am 16 can I able to be data scientist.
@@KenJee_ds data scientist vs data engineer vs data analysis which is best career option?
If you have the courage come over here.
Will you love me even I'm far away?
What degree is best for data science?
It really depends, but I think a CS background is fairly desirable. A double major in that and statistics would likely take you the furthest. Not to say it is required though!
@@KenJee_ds Do you think a masters in statistics and just learning CS by myself is a good idea?
@@varp2248 people take many different paths to Data Science. The thing you mentioned is very common
@@varp2248 do masters in DS.
Do we need to learn programming to become a data scientist?
Yes!
@@KenJee_ds Actually I don't love coding much. Do you still recommend data science as a career ?
@@srujithsunny6022 It may not be the best fit. You could work as a data analyst though and use mostly BI tools like tableau and power bi. Not much or any coding needed there!
@@KenJee_ds Than you Ken! How will be carrer path of data analyst down the line. Does he remain as data analyst through out. Also I have heard the salary is very minimum 60-70k for data analyst. Is that true.If not I will go for devops or something thing like that .Please Ken I want your suggestion regarding. Also I can code now and then when required. But I don't enjoy it doing everyday and out.
@@KenJee_ds What will be the salary range of Data analyst
Thank you for Ken :)
유리 학교보다 좋은 상담원이죠
Thank you ken
Thanksk for watching!
You are amazing
The best data science youtuber. I am glad to find your channel
Thank you Gati!! I hope the videos have been helpful!