LogikBot - Affordable, Real-World and Comprehensive - www.logikbot.com There are two core paths on LogikBot. One for the data analyst role and one for the machine learning engineering role. I've added the data analyst role recently because machine learning has become so difficult to break into. If you're new to IT, I'd highly recommend this path. You can be in a real-world data analsyt role in under a year if you really apply yourself. LogikBot is the most affordable and fastest way to attain this role. The platform even has an exam simulator for preparing for the exam. For the data analyst role, you take two courses then prepare for and pass exam PL-300. This exam, PL-300, is the Microsoft Certified PowerBI Data Analyst Certification. If you're in a shortcut role, then there's an entire path laid out for learning machine learning. The platform used by Uber and Microsoft. I worked at both companies. The courses are real-world and comprehensive. This is not the easy way. There is no easy way. This is one of the few platform that's offers a real-world approach to working in AI.
I came to the US as a graduate student in Data Science Masters program that was for 12 months. They squeezed 36 credits in 12 months (12 each for fall, spring and summer). That was 5 years back. I have been working as a developer for last 2 years on the H1B visa. I realized that DS is a marketing scam in about 2020 and switched to SWE. You outlined my reasons very well in this video. My only gripe is I should have done MS in CS.
@@thedatajanitor9537 Mike, could you please clarify the concept of an 'internship in machine learning'? Are the interns typically college students? Do they participate just to get a taste of machine learning, given that they won't be able to work in the AI space without 3-5 years of SQL experience, even if they perform well during the internship? Thank you! Love your content!
I was hired by a marketing company as a “Machine Learning Engineer” straight out of undergrad (Applied Math Major, Data Science/ML/NLP minor) but my day to day work was really that of a data scientist and mostly a data analyst. After two years I left that company. After working with a startup to build a web app service and learn practical skills deploying models, I began my transition to becoming an actual MLE. I’m glad to be getting out of the Data Scientist sinkhole.
Working with data without mastering at least SQL (ideally some scripting language by it) is nonsense. Even SQL has now some basic algorithmic extensions (conditions, loops, declarations...), which are often used. Thus a developer-like job
This is super sad, I've been learning SQL, AWS, Python and ML concepts to become a Data Scientist only to realize they're known to be charlatans lol Great content btw Subscribed.
At this point I’ve binge watched all of your videos, and definitely subscribed to your channel for future content. As I been doing more research and snooping around Quora and TH-cam, I have seen something that has kind of confused me. What is the difference between an Artificial Intelligence engineer and a machine learning/ data engineer? Since your way of explaining is very short and to do the point, it would be greatly appreciated if you made a video on this topic. If you have already answered this in the past via blog or something to, that would suffice for sure! Thank you and I look forward to more of your content.
Sure. I'll create a video on that. There's no such thing as a AI Engineer. No one I've seen uses that in the real-world, expect at companies that don't know what they are doing. :)
I have a doubt in this, if data scientist roles are dead then why on indeed and other job sites show it in high paying jobs list ?? One of my friend is a data scientist in xyz company..
No they aren't. If they are they are a joke. When I was at Uber we would actually exclude all resumes with MOOCs and bootcamps on them. Let's be honest, India isn't the US. Sorry, just how it is. Here you go, watch this. th-cam.com/video/x6BKlknT148/w-d-xo.html
Hello Mike, just came to know about your quora profile which led me to watching this video..I am currently an e-commerce business owner and aspire to become a tech startup founder wanting to solve real world problems that positively impact lives of at least a billion people in my lifetime..I am currently 38 years old and had plans to study data science through various coursera, Udemy and data camp courses and then apply for a data scientist position at startups,gain few years of experience and then venture out on my own..this video is giving me second thoughts about applying for data scientist positions..please advise what should I study for next 6 months instead in addition to machine learning to be job ready for applying at startups..I have a masters degree in telecommunications and worked for 7 years at telecom companies in mainly network engineering roles before starting my ecommerce business which has been going well for almost 5 years at this point and not requiring me to work full-time on it thanks to outsourcing..I would appreciate your comments,thanks!
Sorry sir. You have little to no chance of attaining a real-world role on this path. Sorry. There are really no entry level MLE positions. I suggest anyone who is starting from scratch to start studying the path of a data analyst. Did you watch this video? th-cam.com/video/e-C-aUMhB_c/w-d-xo.html
@@thedatajanitor9537 Thanks Mike..I will check out that video for sure..Just watched the video of a startup founder who started a data science startup and to know that this founder had studied aerobics and Spanish but with sheer grit, curiosity to learn about data and hard work was able to start and sell a data science startup was very inspiring, makes me believe that ANYTHING is possible if you put your heart and soul into it, and are optimistic,thought you might like it so sharing it here..thanks again for your comments.. m.th-cam.com/video/3IqUT80huX4/w-d-xo.html
@@dafuq4369 Yes. You will get stats questions but it will be applied stats if the company knows what they are doing. Most data cleansing is applied statistics. However, I've worked with the stats types and Uber and Microsoft and wasn't impressed. The people doing the work were the programmers and data heads. Modeling has been democritized and most machine learning is data cleansing. Companies have learned the hard way that the stats types can't work the end-to-end machine learning process. I'm trying the help people and companies understand that machine learning engineers aren't statisticians. They have stats skills but they are more data professionals with programming skills. Working with data in the real-world is far more difficult than modeling.
@@ko-Daegu Its very old title like 15-20 years ago, now there are few, if you search "quantative developer jobs(for example in indeed)" you can see its oriented software engineering + data skills.
Hey man. I know I have recently asked for advice but I feel like I need to hear the straight truth, and that's kinda what you do😂😂. You mentioned the difference between a certificate and a certification. Due to financial reasons, I can only take courses on Coursera. Do you recommend a specific certificate for a Data Analyst?? Or anything that might showcase Python skills(I want to showcase both on my CV). Thank you for the content you are making.
@@thedatajanitor9537 Sorry, I mixed them up. I meant what certifications on Coursera could I take to improve my chances of getting a data analyst job. As for the Python thing, when I look at job descriptions, for some reason many of them request knowledge of Python for an entry-level job. I decided to learn that to maximize my chances.
If there aren't any certifications that are credible on Coursera, other than the learned knowledge of course, do you recommend a place to get these certifications??
@@mamdouhdabjan9292 You only take certifications from the company that provides them. For example, the PowerBI cert has to come from Microsoft because it's their product. Outside of the certs that come from the top players like Microsoft, Amazon and Google, most will be ignored. For example, there are no credible Python certifications because Python.org doesn't have any. You can't nor I can make one that's valid because we didn't create the product. We have no product credibility.
Thank you for your interesting insight. I agree the role of Data Scientists has been over glorified, particularly in the healthcare industry. I am currently enrolled on a Health Informatics/ Health Data Analytics Masters degree but I am seriously considering dropping out. It is becoming increasingly clear to me that you need ML and IT architecture skills to have a successful career with companies such as EPIC and Cerner. ME is definitely not my forte… Would love to hear your thoughts on the healthcare IT industry
The industry doesn't matter. Unless you wan to focus on computer imaging, healthcare is just another space to work in. I've worked or consulted for several heath-care companies. They have more restrictions so they move slower from a technical perspective than other sectors. If you want to become a data analyst, which is a great entry level role, then watch this: th-cam.com/video/ir2GpTt6fL8/w-d-xo.html
@@thedatajanitor9537 would you please give some ideas about using ML in law business and law firms? I am a law student but always involved with tech. obsessed with AI lately. and I would love to hear your opinion on this. thx
@@neel6978 Hello. You don't learn AI on the side. It's a serious career that will take a long time to masters. To do even the most basic model by yourself will take years.
@@thedatajanitor9537 I understand. but I heard many engineers or people with other jobs are attorneys and lawyers in the US. so I think this might be possible? plus I love tech and even my thesis topic is about AI and law. an interdisciplinary field. So what would be your suggestion for a lawyer who is always in touch with tech and used to be a graphic designer for about 4 years? thx again
@@neel6978 Nah. Machine learning engineers do come from a wide variety of backgrounds but there are no doctors or lawyers doing real-world machine learning. The interdisciplinary stuff is nonsense. You'll never get a job in AI without serious data and coding skills. Not going to happen. You can learn as a hobbyist though. Many do. You most certainly could focus on AI law... a hot space in the coming years.
Hey janitor, what would you suggest is a good degree to get, then? Assuming some of your audience wants or are getting degrees in IT? Lastly, if someone really likes math, what computer/IT degree would you recommend for the best job prospects including longevity of the skill being in demand. Thanks.
You need an undergrad but it can be in anything really. Colleges don't teach applied anything so just get a degree in something while focusing on learning the skills you need for the real-world.
You are correct on this one Data Science Role itself is not properly defined Most companies employ data analysts and call them data scientists A data scientist without data wrangling skills can never enter the field You are so true on this one
The data science role is clearly defined and that's why it's dead. We don't need academics, we need data professionals. Here... watch this. th-cam.com/video/14RPhvDN4uo/w-d-xo.html
Mike is right. Before the buzz words, there was Data mining (Machine Learning) and BI Business Intelligence. I would say you don't need to bash the DS folks though. There's so much misinformation or lack thereof that means some of them may know less. I was going to take a Data Engineering electives in school, then i asked myself, how would i tell someone that i know ML? I switched to BI instead and bought myself Data mining books, data warehouse and registered for Rapidminer courses. Of course my SQL and Power BI skills are great. And by the way, Data Mining Developer or BI role is really tough. You are the most hated guy in the organisation if you are not careful.
It's a joke. They are noting more that statisticians or program managers. They don't do any real-world. I worked with researchers at Microsoft and not one of them did any real work.
It's not sad. It's just been replaced by the machine learning engineer. Just a lot less math and more data. Now, if you love math then this might be disconcerting.
LogikBot - Affordable, Real-World and Comprehensive - www.logikbot.com
There are two core paths on LogikBot. One for the data analyst role and one for the machine learning engineering role.
I've added the data analyst role recently because machine learning has become so difficult to break into. If you're new to IT, I'd highly recommend this path. You can be in a real-world data analsyt role in under a year if you really apply yourself. LogikBot is the most affordable and fastest way to attain this role. The platform even has an exam simulator for preparing for the exam.
For the data analyst role, you take two courses then prepare for and pass exam PL-300. This exam, PL-300, is the Microsoft Certified PowerBI Data Analyst Certification.
If you're in a shortcut role, then there's an entire path laid out for learning machine learning. The platform used by Uber and Microsoft. I worked at both companies. The courses are real-world and comprehensive. This is not the easy way. There is no easy way. This is one of the few platform that's offers a real-world approach to working in AI.
Okay I can hold it anymore...your channel is the best data related channel I've come across. So clear and straight to the point(facts)
Thanks you.
As a ML Engineer, i cannot agree more, all i am doing is just related to 15% modelling, the rest is creating a software development.
your videos are straight to the point and very useful for newbies like me in order to know more about data in the real-world, keep it up !!!
Thank you so much. Nice to have you!!!
exactly. bitter and real
I came to the US as a graduate student in Data Science Masters program that was for 12 months. They squeezed 36 credits in 12 months (12 each for fall, spring and summer). That was 5 years back. I have been working as a developer for last 2 years on the H1B visa. I realized that DS is a marketing scam in about 2020 and switched to SWE. You outlined my reasons very well in this video. My only gripe is I should have done MS in CS.
I feel you! I just decided to move to a master's degree in computer science and go down the data/SE path :)
why didnt i watch this before i studied Data Science!!! 100% AGREE!
Data Science just has a bit with Ml model to do,most part is Data Cleaning
It's a hard lesson. I had an intern cry once at Uber. She said, I don't want spend my life cleaning this stuff. I said, you are in the wrong job.
@@thedatajanitor9537 Damn.. 😅
@@thedatajanitor9537 Mike, could you please clarify the concept of an 'internship in machine learning'? Are the interns typically college students? Do they participate just to get a taste of machine learning, given that they won't be able to work in the AI space without 3-5 years of SQL experience, even if they perform well during the internship? Thank you! Love your content!
I was hired by a marketing company as a “Machine Learning Engineer” straight out of undergrad (Applied Math Major, Data Science/ML/NLP minor) but my day to day work was really that of a data scientist and mostly a data analyst. After two years I left that company.
After working with a startup to build a web app service and learn practical skills deploying models, I began my transition to becoming an actual MLE.
I’m glad to be getting out of the Data Scientist sinkhole.
Working with data without mastering at least SQL (ideally some scripting language by it) is nonsense. Even SQL has now some basic algorithmic extensions (conditions, loops, declarations...), which are often used. Thus a developer-like job
This is super sad, I've been learning SQL, AWS, Python and ML concepts to become a Data Scientist only to realize they're known to be charlatans lol Great content btw Subscribed.
Your title changes. The jobs are still there. They're just called machine learning engineers. Thanks for watching and subscribing. I appreciate it.
@@thedatajanitor9537 I always thought ML Eng =\= Data Science
@@ko-Daegu Nope. The DS is more of a statistician. They do similar things but the job really belongs to the machine learning engineer.
I am so confused Mike. Can you please explain me, why Microsoft has the "Microsoft Certified: Azure Data Scientist Associate"?
At this point I’ve binge watched all of your videos, and definitely subscribed to your channel for future content. As I been doing more research and snooping around Quora and TH-cam, I have seen something that has kind of confused me. What is the difference between an Artificial Intelligence engineer and a machine learning/ data engineer? Since your way of explaining is very short and to do the point, it would be greatly appreciated if you made a video on this topic.
If you have already answered this in the past via blog or something to, that would suffice for sure! Thank you and I look forward to more of your content.
Sure. I'll create a video on that. There's no such thing as a AI Engineer. No one I've seen uses that in the real-world, expect at companies that don't know what they are doing. :)
I hate job titles!
I have a doubt in this, if data scientist roles are dead then why on indeed and other job sites show it in high paying jobs list ?? One of my friend is a data scientist in xyz company..
It's ok to be wrong. Most of you are. Here you go... time to learn something relevant today.
th-cam.com/video/8ttGzR2U57A/w-d-xo.html
What about data science boot camps? In india many are getting hired through these bootcamps.
No they aren't. If they are they are a joke. When I was at Uber we would actually exclude all resumes with MOOCs and bootcamps on them.
Let's be honest, India isn't the US.
Sorry, just how it is. Here you go, watch this.
th-cam.com/video/x6BKlknT148/w-d-xo.html
Thank you for the information
Sure. Thanks for watching.
Hello Mike, just came to know about your quora profile which led me to watching this video..I am currently an e-commerce business owner and aspire to become a tech startup founder wanting to solve real world problems that positively impact lives of at least a billion people in my lifetime..I am currently 38 years old and had plans to study data science through various coursera, Udemy and data camp courses and then apply for a data scientist position at startups,gain few years of experience and then venture out on my own..this video is giving me second thoughts about applying for data scientist positions..please advise what should I study for next 6 months instead in addition to machine learning to be job ready for applying at startups..I have a masters degree in telecommunications and worked for 7 years at telecom companies in mainly network engineering roles before starting my ecommerce business which has been going well for almost 5 years at this point and not requiring me to work full-time on it thanks to outsourcing..I would appreciate your comments,thanks!
Sorry sir. You have little to no chance of attaining a real-world role on this path. Sorry. There are really no entry level MLE positions. I suggest anyone who is starting from scratch to start studying the path of a data analyst. Did you watch this video? th-cam.com/video/e-C-aUMhB_c/w-d-xo.html
@@thedatajanitor9537 Thanks Mike..I will check out that video for sure..Just watched the video of a startup founder who started a data science startup and to know that this founder had studied aerobics and Spanish but with sheer grit, curiosity to learn about data and hard work was able to start and sell a data science startup was very inspiring, makes me believe that ANYTHING is possible if you put your heart and soul into it, and are optimistic,thought you might like it so sharing it here..thanks again for your comments..
m.th-cam.com/video/3IqUT80huX4/w-d-xo.html
@@dafuq4369 I started out working for Uber and Microsoft. Most companies aren't not looking for statisticians. Either way, welcome to my channel.
@@dafuq4369 Yes. You will get stats questions but it will be applied stats if the company knows what they are doing. Most data cleansing is applied statistics. However, I've worked with the stats types and Uber and Microsoft and wasn't impressed. The people doing the work were the programmers and data heads. Modeling has been democritized and most machine learning is data cleansing. Companies have learned the hard way that the stats types can't work the end-to-end machine learning process.
I'm trying the help people and companies understand that machine learning engineers aren't statisticians. They have stats skills but they are more data professionals with programming skills. Working with data in the real-world is far more difficult than modeling.
@@thedatajanitor9537 'Most data cleansing is applied statistics...' what does it mean ?
Quantitative Developer title in the past seems very close to current data jobs(especially in finance)
I've never seen that role.
I know quantitative analyst in finance, a developer ?? never heard of it
@@ko-Daegu Its very old title like 15-20 years ago, now there are few, if you search "quantative developer jobs(for example in indeed)" you can see its oriented software engineering + data skills.
you can always teach an old developer new tricks although it is not always true the way around
Hey man. I know I have recently asked for advice but I feel like I need to hear the straight truth, and that's kinda what you do😂😂. You mentioned the difference between a certificate and a certification. Due to financial reasons, I can only take courses on Coursera. Do you recommend a specific certificate for a Data Analyst?? Or anything that might showcase Python skills(I want to showcase both on my CV). Thank you for the content you are making.
I don't. Sorry. Certifications are used in the real-world not complete certificates. By the way, most data analyst don't use Python.
@@thedatajanitor9537 Sorry, I mixed them up. I meant what certifications on Coursera could I take to improve my chances of getting a data analyst job. As for the Python thing, when I look at job descriptions, for some reason many of them request knowledge of Python for an entry-level job. I decided to learn that to maximize my chances.
If there aren't any certifications that are credible on Coursera, other than the learned knowledge of course, do you recommend a place to get these certifications??
@@mamdouhdabjan9292 You only take certifications from the company that provides them. For example, the PowerBI cert has to come from Microsoft because it's their product. Outside of the certs that come from the top players like Microsoft, Amazon and Google, most will be ignored. For example, there are no credible Python certifications because Python.org doesn't have any. You can't nor I can make one that's valid because we didn't create the product. We have no product credibility.
@@thedatajanitor9537 Ok I see. Thank you so much.
Thank you for your interesting insight. I agree the role of Data Scientists has been over glorified, particularly in the healthcare industry.
I am currently enrolled on a Health Informatics/ Health Data Analytics Masters degree but I am seriously considering dropping out. It is becoming increasingly clear to me that you need ML and IT architecture skills to have a successful career with companies such as EPIC and Cerner. ME is definitely not my forte…
Would love to hear your thoughts on the healthcare IT industry
The industry doesn't matter. Unless you wan to focus on computer imaging, healthcare is just another space to work in. I've worked or consulted for several heath-care companies. They have more restrictions so they move slower from a technical perspective than other sectors. If you want to become a data analyst, which is a great entry level role, then watch this: th-cam.com/video/ir2GpTt6fL8/w-d-xo.html
@@thedatajanitor9537 would you please give some ideas about using ML in law business and law firms? I am a law student but always involved with tech. obsessed with AI lately. and I would love to hear your opinion on this. thx
@@neel6978 Hello. You don't learn AI on the side. It's a serious career that will take a long time to masters. To do even the most basic model by yourself will take years.
@@thedatajanitor9537 I understand. but I heard many engineers or people with other jobs are attorneys and lawyers in the US. so I think this might be possible? plus I love tech and even my thesis topic is about AI and law. an interdisciplinary field. So what would be your suggestion for a lawyer who is always in touch with tech and used to be a graphic designer for about 4 years? thx again
@@neel6978 Nah. Machine learning engineers do come from a wide variety of backgrounds but there are no doctors or lawyers doing real-world machine learning. The interdisciplinary stuff is nonsense.
You'll never get a job in AI without serious data and coding skills. Not going to happen.
You can learn as a hobbyist though. Many do. You most certainly could focus on AI law... a hot space in the coming years.
Hey janitor, what would you suggest is a good degree to get, then? Assuming some of your audience wants or are getting degrees in IT? Lastly, if someone really likes math, what computer/IT degree would you recommend for the best job prospects including longevity of the skill being in demand. Thanks.
You need an undergrad but it can be in anything really. Colleges don't teach applied anything so just get a degree in something while focusing on learning the skills you need for the real-world.
You are correct on this one
Data Science Role itself is not properly defined
Most companies employ data analysts and call them data scientists
A data scientist without data wrangling skills can never enter the field
You are so true on this one
The data science role is clearly defined and that's why it's dead. We don't need academics, we need data professionals. Here... watch this.
th-cam.com/video/14RPhvDN4uo/w-d-xo.html
Sir, does Data scientist course from IBM is worthwhile ...? After that can we move towards ML?
Nope. Here you go sir: th-cam.com/video/Fx4HoXT91J0/w-d-xo.html
@@thedatajanitor9537 Thanks sir.....I have subscribed to your channel
@@physicswithejazahmad7928 Thanks and welcome.
Ejaz, I also studied Physics. Can you share more about your journey with ML after doing physics?
Mike is right. Before the buzz words, there was Data mining (Machine Learning) and BI Business Intelligence.
I would say you don't need to bash the DS folks though. There's so much misinformation or lack thereof that means some of them may know less.
I was going to take a Data Engineering electives in school, then i asked myself, how would i tell someone that i know ML? I switched to BI instead and bought myself Data mining books, data warehouse and registered for Rapidminer courses. Of course my SQL and Power BI skills are great.
And by the way, Data Mining Developer or BI role is really tough.
You are the most hated guy in the organisation if you are not careful.
what's your opinion about data scientist role in Google?
It's a joke. They are noting more that statisticians or program managers. They don't do any real-world. I worked with researchers at Microsoft and not one of them did any real work.
Interesting. (Sad)But true
Well I think this video on The Death of the Data Science Role answers my previous question. Sad.
It's not sad. It's just been replaced by the machine learning engineer. Just a lot less math and more data. Now, if you love math then this might be disconcerting.
I’m in college for data science 😳
Good luck. You're going to need it. Sorry, just the hard truth. You've been scammed.
@@thedatajanitor9537 any advice?
@@olaw9498 Finish up and watch this. th-cam.com/video/KFmXhoNrcyQ/w-d-xo.html
@@thedatajanitor9537 thank you
@@thedatajanitor9537 🤣🤣 calm down boss