Great video! I opted for a Masters in computer science with a concentration in ML / AI over a Masters in data science. From my experience, this degree holds slightly more weight in industry. I had to learn many concepts unrelated to data science, but I have been able to leverage many of these skills in my personal projects. Nothing against Masters in DS programs, but I think that this path is also a very viable route!
Hi, I'm currently working on a Masters in Management Information Systems with a concentration in Business Intelligence and Data Analytics. Do you think this degree can be helpful in finding a job as a Data Scientist? I currently have over five years experience as a Data Analyst.
@@CapitanJusticia I think it definitely can! While degrees and certifications can be important, I think project work carries equal weight. I would focus on applying data science concepts to real world problem sets.
Oh wow that's what I'm about to do. At first I was debating between getting a masters in data analytics vs a masters in computer science and in my opinion I think a masters in computer science with a concentration in machine learning makes more sense because at my school it goes more in depth into AI/ML than the data analytics program. Not saying the masters program for data analytics is bad just that I like to go as in depth into machine learning and acquire as strong of a foundation as possible.
I would like to share my experience, I am an ungrad in computer science and have immense interest in data science , when I was in my third year of uni I started slogging all soughts of concepts of machine learning and data science which was really fruitful for me.Done certain research work even and landed a job as a data scientist.One thing I learned in my struggle days was that the more force u put to learn something more amazing will be the output.Love learning guys This man has always been a inspiration for me.
You cannot get a Data Analyst or Data Scientist jobs if you don’t graduate at the famous schools/universities with a bachelor degree. Otherwise, they require minimum 3-5 years experience, or at least have Master or Ph.D.
Here is my background: I have a masters in exercise science, not a very useful degree unless I go for a doctorate in some related field which I am not interested in doing. I have no background in business, marketing, or computer science for that matter, but I enjoy mathematics and statistics and learning to code. My job experience is weak to say the least; overnight crew at a grocery store, salesfloor team member at Target, personal trainer at 24 hour fitness, and a physical therapy aid at a local clinic since graduating with my masters. Essentially, I have been making minimum or near minimum wage since graduation. My question is: Since I have no technical background and essentially no job experience related to data science, would investing upwards of 60k for a masters in data science give me any sort of edge versus if I tried to learn everything on my own? I understand doing capstone projects and uploading them to GitHub is helpful, but I would also be doing this as part of a curriculum and getting credentials for it. I feel like the degree would give me more credibility and the skills to work on more projects. I ask this because I am already near 100k in debt from my exercise science degree but jobs are very limited, and I enjoy coding and working with numbers much more so than working at a clinic or at gym trying to sell training packages.
Not everyone needs formal education to impart this knowledge after undergrad, especially when it comes to applying it to business problems, which is often a data scientist’s primary goal. Degrees (Master’s included) are a dime a dozen these days. Putting business problems first and only then ideating and applying relevant ML models is not.
Dude, awesome video and absolutely spectacular green landscape in a very depressing UK skyline that is ALWAYS gray and liquid sunshine-y. Thanks for sharing your perspectives!
This guy gives me a hope of stepping into this field without a masters and PhD. I have seen other software developers on RUclips who emphasize that jobs are scarce in data science and without a degree and experience in this field, chances are slim. So, they push you to learn web stack development side of things to get quickly employed than putting your effort into this field.
Exactly what people need to hear. You dont need a phd if you are not going to do state of the art stuff. If your undergrad course is somehow lacking something, a masters will help you so much.
More than plenty for what? To call yourself Data Scientist? What sort of academic background should one posses to be admitted to a MSc degree course in Statistics? Would a rigorous and verified MOOC on edx or coursera, in Statistics suffice to show good understanding of Stats without having to enroll in a MSc?
Why do all videos on RUclips insist on having crappy background music? It's just annoying when I'm just trying to hear and understand what you're saying. if I want to listen to music, I'll go to the Naxos music library with 100 of thousands of CDs available to stream. Now that my rant's over, thanks for the advice.
Love your contents! very well said. I always look forward to your videos. A kind suggestion, can you please not add music in the background while you talk? It's very distracting. Being hard-of-hearing, it's like listening to two things at once. It's hard to focus on what you are saying. Thanks!
Great content as always and extremely relevant. Please make a video on how older professionals can get into this field. I am a meteorologist working with the govt. Developed love for data science while working with weather data and so want to get into this field full time.
I am sort of coming from the other direction. My work is transitioning me to a data analytics position from an operations background. This first year I am mostly developing data analytics skills in excel, with some soft use of SAS and SQL. I was hoping to leverage the opportunity to grow into a more data science-oriented position, not research-oriented, but more business predictive and analysis oriented. I was afraid that there was a hard line between analytics and data science, but at the end of this video, you even mention that as the typical career development. So, am I in a good spot to put the time in developing skills on my own as I learn on the job and work my way up?
Just in time!!!! I was thinking about getting a MsC abroad next year but I was wondering if that was a good idea. Question: can you do this job part-time? And is it a good option?
I've seen a lot of channels that produce low-effort basic-tier content primarily targeting beginners and that's what I thought this channel was going to be, but I'm cautiously optimistic about this channel after watching this first video. I think you handled the nuance inherent in this topic very well, especially given how charged it has become lately, and I genuinely hope you continue to effectively communicate the intricacies of data science without watering it down or trivializing it.
Thanks. It's a very difficult balance between being too esoteric and over trivialising. One that I'm aware of and do my best to navigate. Thanks for your comment. Glad you liked the video.
Sir, *I have completed my Bachelor's in Computer Engineering.* Now I'm aiming towards becoming a successful data scientist with the right qualifications. I think I'm a good programmer but I lack in mathematical part of data science, so *Is it viable to do **M.Sc** in Statistics?*
I'm trying so hard to find my first entry level data analyst role ... I've been self teaching for 6 months but no degree at all and a lot of places require years of experience
It can definitely be challenging. I was recently facing a huge challenge of hunting down a job amid this pandemic, too. Feel free to check out the video I made about that on my channel.
@@mutigaben2038 I did ! I took a gig that involved SQL and then leveraged that experience to get my first analyst role ! Hoping I can convert to full time next year
Also I would like to add as well. What else should I focus on studying besides Python? Is it really necessary to learn Power-Bi or Tableau? Doesn't PYTHON come with a visualization Application? I noticed a lot of Certificate courses offer training in either Power-Bi or Tableau. Are these visualizations applications really necessary? thank you for reading.
Hey Giles. Very informative video. I recently talked to a college about an MSc in Data Science, they said they teach R in their semesters but expect you to do your dissertation in Python (they also said "you can always submit your papers in Python but we teach R"). Does that make any sense? Wouldn't it be confusing for someone who has already been studying Python on his own, like me? Also, what do you think of Tableau?
lemontea000 if you know excel, SQL, and Tableau you could become a data analyst without knowing python. That said python does give you an edge as an analyst and helps you stand out among other resumes
I'm a Data Analyst. Make sure to have good knowledge of SQL and Excel. Also, try to learn at least one reporting tool, such a Tableau, SSRS, or Microstrategy.
im doin my masters in bioprocess engineering by research now.. and im doin some kind of simulation using ANN with Python.. the more i learn ANN with Python, the more i think i wana to shift to a data science job
*Sir i have a Question:* tensor flow 2.0 is here, so do i need to master tensor 1 to understand 2.0 And there's a new edition available for O'Really hands on machine learning with sklearn keras and tensorflow 🔥🔥🔥🔥🔥 if u are interested in reviewing.
@@younes6340 thanks for the reply, I am not saying i am a beginner, i have a good knowledge about python and some of main libraries like numpy, scipy, seaborn etc. And i am thinking to start tensorflow, so i am asking do i need to start from tensorflow version 1 or i can start from new version (2.0) of tensorflow.
Excellent video! What if you already have a BSc, MSc and PhD in non-quantitative (biological sciences) subjects? Is the self-taught + portfolio/projects route enough?
Did you do collect any data during the course of your research? Did you analyse that data? Could you re analyse it. Model it? Do you still have any contacts at the faculty that might want/let you work on any data they have?
@@gilesmcmullen I collected and analysed my own data. My research was sponsored by a pharma company, so don't think I'll be able to use most of it.... but I may have some data from a side project that I could revisit. The primary PI from that project has since moved on (out of academia). Would analysing public datasets be ok?
i have a major in Psychology and really want to transition to Data Science.. what do you recommend to help get noticed with employers, once i learnd all the theory and have real projects to show?
Hey Python Programmer! I'm currently doing my bachelors in statistics & actuarial science. I've been picking up some python skills (learning the necessary libraries: pandas, numpy, scikit learn, etc). I plan on also learning SQL in the coming months with hopes to land a data science internship next summer. How possible is it for me to land a job right in the field of data science, rather than data analytics? Here in America, data scientists are compensated far more than analysts, and I would really prefer this. Also, outside of using machine learning techniques in their careers, what more does a data scientist do over a data analyst? Thanks so much for your informative and inspiring videos. You have no idea how much you've helped me in this field❤.
I am an undergraduate student doing my engineering in electronics and communication department. Do you think I can shift my career path to become a data scientist? How?
Is a research masters (MPhil) in Statistics or Econometrics good preparation for becoming a data scientist/analyst? Are there subfields within statistics or econometrics that are particularly relevant to data analysis? (Monte-carlo methods or time series analysis?)
No you don’t need a PhD or an MSc but you do need to speak like this guy and enunciate to an almost over the top level so it sounds like you taught at Cambridge University. That is a door opener.
hello sir,have been following for quite a long time,i hv motivated myself to learn Data science and currently following your links from coursera and udemy but still i have some 'if and buts" going in my mind. i hv done btech in civil engineering but did android programming for last two years using java. I have basic concepts cleared in linear algebra,numerical analysis,differential calculus...and learning machine learning algorithms by myself, the only question is will self learning in this scenerio and with my profile as i mentioned, land me in a data analyst job? your response will much be appreciated :)
Please keep re-iterating about this (masters or PhD) because we are getting shitty developed degrees and shitty 12 week courses and we need to inform people constantly not to fall in those traps. This segment is going to be awfully useful no matter if you keep repeating this because in the past year there is a lot of courses and a lot of them that trying to rob your money and time. Please lets make this a regular, i am more happy to talk about it one on one if you like.
I'm just about to start a Masters in Operational Research this autumn, after a not-so-successful Mechanical Engineering Bachelor. What is your knowledge on Operational Research jobs and how much they would differ from a Data Analyst job? Thanks.
I'm doing a Research Masters in Operations Research with the topic being to use online(real-time) reinforcement and Simulation based learning methods on queue networks that are too complex for analytical or closed form analysis. So how does something like this link to Data analysis? Data analysis is mostly supervised and unsupervised learning. In operations research you use reinforcement learning as mean of Optimal control and unsupervised learning (HMM, Kalman filter and Bayes network) to deal with partially observable scenarios. You will also need to know your standard optimization algorithms as well as some metaheuristic algorithms. Optimization algorithms also allow you to understand machine learning from the bayesian perspective as opposed to this neural network rubbish you see these days (neural networks are great but we don't actually know how to explain the results they obtain). All in all, modern operations research is all about Artificial intelligence...and the difficult side of it. No data cleaning nonsense and copy paste from scikit learn and theano documentation bs. So you don't analyse as much as you model and optimise. Your data sometimes also come from simulations. If you can do these things, you will be much more employable than a Data Analyst.
D S I studied much of what you described, for my masters and phd EE in controls and comm, as well as grad coursework at a highly-ranked stat dept. After years of experience with it making successful products, RT SW, patents and pubs (tho mostly conf proceedings) I still dont have the buzzwords on my resume that Data science managers look for.
A note on funding your education (in the U.S. at least). - Most (STEM) PhDs are fully-funded - it takes longer to complete and you don't make really any money during that time, but you don't go into debt. - Most Masters degrees are not funded - they're shorter, but you'll need to come up with ~$100k or more, which often involves taking out a loan.
Thank you Mr.Klein for always emphasizing on the importance of projects and experience rather than papers and certifications.
Great video! I opted for a Masters in computer science with a concentration in ML / AI over a Masters in data science. From my experience, this degree holds slightly more weight in industry. I had to learn many concepts unrelated to data science, but I have been able to leverage many of these skills in my personal projects. Nothing against Masters in DS programs, but I think that this path is also a very viable route!
Agreed
Hi, I'm currently working on a Masters in Management Information Systems with a concentration in Business Intelligence and Data Analytics. Do you think this degree can be helpful in finding a job as a Data Scientist? I currently have over five years experience as a Data Analyst.
@@CapitanJusticia I think it definitely can! While degrees and certifications can be important, I think project work carries equal weight. I would focus on applying data science concepts to real world problem sets.
Oh wow that's what I'm about to do. At first I was debating between getting a masters in data analytics vs a masters in computer science and in my opinion I think a masters in computer science with a concentration in machine learning makes more sense because at my school it goes more in depth into AI/ML than the data analytics program. Not saying the masters program for data analytics is bad just that I like to go as in depth into machine learning and acquire as strong of a foundation as possible.
Hi Ken, would you say an MS in CS from Stevens Institute of Technology would be a good choice?
I would like to share my experience, I am an ungrad in computer science and have immense interest in data science , when I was in my third year of uni I started slogging all soughts of concepts of machine learning and data science which was really fruitful for me.Done certain research work even and landed a job as a data scientist.One thing I learned in my struggle days was that the more force u put to learn something more amazing will be the output.Love learning guys
This man has always been a inspiration for me.
I just wanna learn to predict your cameras dispositions, that's all.
It was a rainy day for Data Science, but you shed some light on us, Thanks!
when Im down, I watch your videos and i feel inspired to continue... thanks
Hey, do you prepare to get a data scientist job?
Hugues M 😂😂😂smh
Top notch transitions in this episode. I particularly enjoyed the brolly transition :)
You cannot get a Data Analyst or Data Scientist jobs if you don’t graduate at the famous schools/universities with a bachelor degree. Otherwise, they require minimum 3-5 years experience, or at least have Master or Ph.D.
What about now
This is not just an average guidance for career, you are a mentor of life, thank you so much.
Here is my background: I have a masters in exercise science, not a very useful degree unless I go for a doctorate in some related field which I am not interested in doing. I have no background in business, marketing, or computer science for that matter, but I enjoy mathematics and statistics and learning to code. My job experience is weak to say the least; overnight crew at a grocery store, salesfloor team member at Target, personal trainer at 24 hour fitness, and a physical therapy aid at a local clinic since graduating with my masters. Essentially, I have been making minimum or near minimum wage since graduation. My question is: Since I have no technical background and essentially no job experience related to data science, would investing upwards of 60k for a masters in data science give me any sort of edge versus if I tried to learn everything on my own? I understand doing capstone projects and uploading them to GitHub is helpful, but I would also be doing this as part of a curriculum and getting credentials for it. I feel like the degree would give me more credibility and the skills to work on more projects. I ask this because I am already near 100k in debt from my exercise science degree but jobs are very limited, and I enjoy coding and working with numbers much more so than working at a clinic or at gym trying to sell training packages.
YES. PhD or Masters degree level knowledge.
Not everyone needs formal education to impart this knowledge after undergrad, especially when it comes to applying it to business problems, which is often a data scientist’s primary goal. Degrees (Master’s included) are a dime a dozen these days. Putting business problems first and only then ideating and applying relevant ML models is not.
Dude, awesome video and absolutely spectacular green landscape in a very depressing UK skyline that is ALWAYS gray and liquid sunshine-y. Thanks for sharing your perspectives!
Congratulations reaching the 100k subscribers! Greetings from Mexico ! 🌮🌮🌮
Thank you so much for the information!! It was super helpful and loved the creativity in your video which isn’t just sitting in a room and talking!
Very informative video sir! Thank you!
It felt like you made that video specially for me.
Thank you very much for this video.
This guy gives me a hope of stepping into this field without a masters and PhD. I have seen other software developers on RUclips who emphasize that jobs are scarce in data science and without a degree and experience in this field, chances are slim. So, they push you to learn web stack development side of things to get quickly employed than putting your effort into this field.
Your camera tricks are awesome..love from India
They are good aren't they:)
Very concise and insightful analysis, thank you! Highly creative video, too!
Exactly what people need to hear. You dont need a phd if you are not going to do state of the art stuff. If your undergrad course is somehow lacking something, a masters will help you so much.
This is a great flowing and well structured video. Extremely detail and effective information. Well done!
Wow man, great info! You just earned a new sub!
I was wondering what kind of data science project is enough for entry level position
Thanks for this video! I'm glad to know that I'm on the right path.
could we stop music i can't focus
Very comprehensive and thoughtful. Thanks!
An Msc in Statistics is more than plenty
More than plenty for what? To call yourself Data Scientist? What sort of academic background should one posses to be admitted to a MSc degree course in Statistics? Would a rigorous and verified MOOC on edx or coursera, in Statistics suffice to show good understanding of Stats without having to enroll in a MSc?
Thank you! amazing as always
Great video format! It makes watching a 7 minute video very easy.
Thank you so much Mr Klein, this is the video I needed, I thought that this would be the case, I am glad now that I am certain what is necessary
I got an offer to study BSc Data Science at University of Warwick!
yo im quite young and was just wanted to clarify does bsc mean bachelor degree
@@radamirabdulle3559 yups its a bachelor of science degree for undergrads
BS in Data Science is better than people who gotten an MA in data science with a completely different Bachelor outside of Data Science?
What an amazing channel. Congrats!
Awesome bro! thanks for the help.......
4:44 what a splendid transition
If you actually want to be employed as a data scientist than you need a PHD or Masters. Being competent is irrelevant.
Your opinion is not only wrong, but pessimistic. Well done.
Jeez, looks like someone’s self-confidence is largely tied to his degree.
Intro edit must of been done by the same person who edit liam neeson jumping over a fence in one of the taken movies
Where do you live? The surroundings are alluring to say the least.
Thanks for information about data science courses in Coursera.
I am going to learn it.
bachelor is ok for employment
Out of curiosity, what sort of educational background does the Python Programmer have?
Great tips! Thanks!
Your videos are great sir, hello from Ireland!
Thank you man! Great tips!!
Great advises. Thank you very much
Your audio quality is superb
Thanks for your insight
I can't decide which is more beautiful between the two : your country or the video content ??
Why do all videos on RUclips insist on having crappy background music? It's just annoying when I'm just trying to hear and understand what you're saying. if I want to listen to music, I'll go to the Naxos music library with 100 of thousands of CDs available to stream.
Now that my rant's over, thanks for the advice.
Jeff Juhre Hey Jeff. Maybe you’d prefer Brian Eno LOL? ... Its because an ELP or Genesis cut would require expensive royalties.
Love your contents! very well said. I always look forward to your videos. A kind suggestion, can you please not add music in the background while you talk? It's very distracting. Being hard-of-hearing, it's like listening to two things at once. It's hard to focus on what you are saying. Thanks!
You are a Great motivator for me... keep up the good work...
Great content as always and extremely relevant. Please make a video on how older professionals can get into this field. I am a meteorologist working with the govt. Developed love for data science while working with weather data and so want to get into this field full time.
Hey, I want to say thank you for making a great video where each second is worth it
Great video bud 👍
I am sort of coming from the other direction. My work is transitioning me to a data analytics position from an operations background. This first year I am mostly developing data analytics skills in excel, with some soft use of SAS and SQL. I was hoping to leverage the opportunity to grow into a more data science-oriented position, not research-oriented, but more business predictive and analysis oriented. I was afraid that there was a hard line between analytics and data science, but at the end of this video, you even mention that as the typical career development. So, am I in a good spot to put the time in developing skills on my own as I learn on the job and work my way up?
The way you put together different perspectives was really helpful.
I’ll like videos content and the way u introduce that content to audience
Just in time!!!! I was thinking about getting a MsC abroad next year but I was wondering if that was a good idea. Question: can you do this job part-time? And is it a good option?
Thank You sir.. Can you Plz make us a video on how to manage a Ph.D i am in my third year and really lost cant even organize tasks ect.. SOS !
Of course not since you pretty much need to be a data scientist to start pursuing a PhD... Python is just one handy tool
I've seen a lot of channels that produce low-effort basic-tier content primarily targeting beginners and that's what I thought this channel was going to be, but I'm cautiously optimistic about this channel after watching this first video. I think you handled the nuance inherent in this topic very well, especially given how charged it has become lately, and I genuinely hope you continue to effectively communicate the intricacies of data science without watering it down or trivializing it.
Thanks. It's a very difficult balance between being too esoteric and over trivialising. One that I'm aware of and do my best to navigate. Thanks for your comment. Glad you liked the video.
The term scientist is often a stretch for what most people actually do in their daily job.
It really upsets me that a piece of papear determined your worth and not actual projects you have completed
3:18 that is such a beautiful place
would love to go hiking there
Thank you...your videos are great motivation.
Love this!
Sir, *I have completed my Bachelor's in Computer Engineering.* Now I'm aiming towards becoming a successful data scientist with the right qualifications. I think I'm a good programmer but I lack in mathematical part of data science, so *Is it viable to do **M.Sc** in Statistics?*
honestly just do a course on udacity, you will save so much cash. Same skills for less money.
I'm trying so hard to find my first entry level data analyst role ... I've been self teaching for 6 months but no degree at all and a lot of places require years of experience
It can definitely be challenging. I was recently facing a huge challenge of hunting down a job amid this pandemic, too. Feel free to check out the video I made about that on my channel.
Did you get that job?
@@mutigaben2038 I did ! I took a gig that involved SQL and then leveraged that experience to get my first analyst role ! Hoping I can convert to full time next year
Also I would like to add as well. What else should I focus on studying besides Python? Is it really necessary to learn Power-Bi or Tableau? Doesn't PYTHON come with a visualization Application? I noticed a lot of Certificate courses offer training in either Power-Bi or Tableau. Are these visualizations applications really necessary? thank you for reading.
Nice, video. Giles. U clarified my query. I too have the same question. U r doing very innovative ways in videos.
Good to hear from you! Glad it was helpful 🙂
@@gilesmcmullen i like your effort which you put in making these videos hats off to you 🙏👍
Thanks for this great content, I love the place where you recorded it! Where is it?
Hey Giles. Very informative video.
I recently talked to a college about an MSc in Data Science, they said they teach R in their semesters but expect you to do your dissertation in Python (they also said "you can always submit your papers in Python but we teach R"). Does that make any sense? Wouldn't it be confusing for someone who has already been studying Python on his own, like me?
Also, what do you think of Tableau?
I'm learning python right now. Can I apply for jobs as a data analyst once I am comfortable using python?
lemontea000 if you know excel, SQL, and Tableau you could become a data analyst without knowing python. That said python does give you an edge as an analyst and helps you stand out among other resumes
@@magnumchicken Good tips. Also, you have to know statistics (at least the fundamentals of exploratory data analysis).
I'm a Data Analyst. Make sure to have good knowledge of SQL and Excel. Also, try to learn at least one reporting tool, such a Tableau, SSRS, or Microstrategy.
Well, the fact is so many companies looking for PhD (min Master) to be a data scientist. Do they still believe papers over result? I Dunno
im doin my masters in bioprocess engineering by research now.. and im doin some kind of simulation using ANN with Python.. the more i learn ANN with Python, the more i think i wana to shift to a data science job
Hoho, dudde, i hardly understand what you saying, english is not my language, but OMG your's Town is beateauful!
*Sir i have a Question:* tensor flow 2.0 is here, so do i need to master tensor 1 to understand 2.0
And there's a new edition available for O'Really hands on machine learning with sklearn keras and tensorflow 🔥🔥🔥🔥🔥 if u are interested in reviewing.
I am reading it right now. That book is amazing but I don't think it's for beginners, requires an okay grasp of python and different libraries
@@younes6340 thanks for the reply,
I am not saying i am a beginner, i have a good knowledge about python and some of main libraries like numpy, scipy, seaborn etc.
And i am thinking to start tensorflow, so i am asking do i need to start from tensorflow version 1 or i can start from new version (2.0) of tensorflow.
Very charismatic ! Do you think it is possible to be a programmer as a hobby? Different plans for my master
Excellent video! What if you already have a BSc, MSc and PhD in non-quantitative (biological sciences) subjects? Is the self-taught + portfolio/projects route enough?
Did you do collect any data during the course of your research? Did you analyse that data? Could you re analyse it. Model it? Do you still have any contacts at the faculty that might want/let you work on any data they have?
@@gilesmcmullen I collected and analysed my own data. My research was sponsored by a pharma company, so don't think I'll be able to use most of it.... but I may have some data from a side project that I could revisit. The primary PI from that project has since moved on (out of academia).
Would analysing public datasets be ok?
i have a major in Psychology and really want to transition to Data Science.. what do you recommend to help get noticed with employers, once i learnd all the theory and have real projects to show?
Fantastic, I totally agree with you.
Hey Python Programmer! I'm currently doing my bachelors in statistics & actuarial science. I've been picking up some python skills (learning the necessary libraries: pandas, numpy, scikit learn, etc). I plan on also learning SQL in the coming months with hopes to land a data science internship next summer. How possible is it for me to land a job right in the field of data science, rather than data analytics? Here in America, data scientists are compensated far more than analysts, and I would really prefer this. Also, outside of using machine learning techniques in their careers, what more does a data scientist do over a data analyst? Thanks so much for your informative and inspiring videos. You have no idea how much you've helped me in this field❤.
That would be a very heavy course indeed...
I am an undergraduate student doing my engineering in electronics and communication department. Do you think I can shift my career path to become a data scientist? How?
Is a research masters (MPhil) in Statistics or Econometrics good preparation for becoming a data scientist/analyst? Are there subfields within statistics or econometrics that are particularly relevant to data analysis? (Monte-carlo methods or time series analysis?)
I work as a data analyst, such a gruesome role. So much data cleaning :(
To be honest it is like 90% of every data analyst work time :D
I need to get started now ....
Thanks for your great support sir , HUGE LOVE AND RESPECT FROM INDIA
Awesome video..
Background music is frustrating 🙂
No you don’t need a PhD or an MSc but you do need to speak like this guy and enunciate to an almost over the top level so it sounds like you taught at Cambridge University. That is a door opener.
Can I ask which part of England is this?
How about good gpa?
hello sir,have been following for quite a long time,i hv motivated myself to learn Data science and currently following your links from coursera and udemy but still i have some 'if and buts" going in my mind.
i hv done btech in civil engineering but did android programming for last two years using java. I have basic concepts cleared in linear algebra,numerical analysis,differential calculus...and learning machine learning algorithms by myself,
the only question is will self learning in this scenerio and with my profile as i mentioned, land me in a data analyst job? your response will much be appreciated :)
Please keep re-iterating about this (masters or PhD) because we are getting shitty developed degrees and shitty 12 week courses and we need to inform people constantly not to fall in those traps. This segment is going to be awfully useful no matter if you keep repeating this because in the past year there is a lot of courses and a lot of them that trying to rob your money and time. Please lets make this a regular, i am more happy to talk about it one on one if you like.
I'm just about to start a Masters in Operational Research this autumn, after a not-so-successful Mechanical Engineering Bachelor. What is your knowledge on Operational Research jobs and how much they would differ from a Data Analyst job? Thanks.
I'm doing a Research Masters in Operations Research with the topic being to use online(real-time) reinforcement and Simulation based learning methods on queue networks that are too complex for analytical or closed form analysis. So how does something like this link to Data analysis? Data analysis is mostly supervised and unsupervised learning. In operations research you use reinforcement learning as mean of Optimal control and unsupervised learning (HMM, Kalman filter and Bayes network) to deal with partially observable scenarios. You will also need to know your standard optimization algorithms as well as some metaheuristic algorithms. Optimization algorithms also allow you to understand machine learning from the bayesian perspective as opposed to this neural network rubbish you see these days (neural networks are great but we don't actually know how to explain the results they obtain). All in all, modern operations research is all about Artificial intelligence...and the difficult side of it. No data cleaning nonsense and copy paste from scikit learn and theano documentation bs. So you don't analyse as much as you model and optimise. Your data sometimes also come from simulations. If you can do these things, you will be much more employable than a Data Analyst.
D S I studied much of what you described, for my masters and phd EE in controls and comm, as well as grad coursework at a highly-ranked stat dept. After years of experience with it making successful products, RT SW, patents and pubs (tho mostly conf proceedings) I still dont have the buzzwords on my resume that Data science managers look for.
Explain as rapper or turn off the music
Ravish This is not Siraj Raval, haha!
Hey I'm doing an undergrad in Data Science. Do you recommend getting a Masters?
A note on funding your education (in the U.S. at least).
- Most (STEM) PhDs are fully-funded - it takes longer to complete and you don't make really any money during that time, but you don't go into debt.
- Most Masters degrees are not funded - they're shorter, but you'll need to come up with ~$100k or more, which often involves taking out a loan.
how about bachelors degree in DS
As a beginner,
I don't really understand what a project entails.
Could you please explain ?
can I get full scholarship in data science? how and where