can i please ask you how did you prepare for it and how long did it take you , i'm currently studying the definitive guide to dax book because i heard it is the most important part of the exam ( context transition...) but i don't know what other things i need to study for , thank you in advance.
@@hatimsalmi1947 I would say just learn the basics of everything and then do a ton of practice questions and that will teach you where you lack knowledge. Then close up those gaps and do more practice questions!! I did like 1000 practice questions before giving the exam
Wow, this is great and really helpful I spent the last 8 years working at Amazon as a BA transitioned to DE but was forced out through their Pivot process, this was straight forward and pretty clear. Not going to lie the last few months I was doing all of this trying to get back into the industry. Lost soul 😭 was really trying to figure out why no one will even give me a chance. Thank you.
Hey Muke, can u give us a Resume guide for an entry level Data Analyst? What to include what not to include? Basically how a Resume should look like.. Thanks for all the content you provide.
So knowing that the DA role is the only entry level data role. Is ur advice for people out of college who want to be data engineers to get the PowerBI and Tableau cert, then get experience as a DA and then transition to DE? Also in you opinion do internships count as worthwhile experience for a field in data. Like I’ll be doing a DE internship, does it mean nothing or does it have some merit?
@@thedatajanitor9537 But how can I get an entry level job which requires 2 years of experience?? If internships are not THAT HELPFUL how will I get the experience to get that real job ?
I've got till 2026 May till I graduate, I'm prepping for AWS Machine Learning Engineer Associate this December with plans to give AWS Data Engineer Associate and Solutions Architect Associate. We are told certifications isn't enough and you have to get experience in school (not that the emphasis is on cloud), so I'm doing some projects too. My question is for 1:04, is it really worthless in my scenario to get these certifications?
You need to understand the roles. For a MLE role? Yeah, nothing you can do is going to help you get a job. Simply don't going to happen. The only entry level data role is the data analyst.
@@thedatajanitor9537how do you explain new grad MLEs then? It's definitely rare, but it does happen. You certainly need prior internship experience to get a full-time job after college though.
If you have these certifications recruiters will assume that you have real experience in solving complex business problems and that experience is not learned by taking courses. You can pass any certification by taking courses, but then comes the interview and there the recruiters will see that you only learned how to pass a certification and follow a project tutorial at best, but you can't demonstrate business knowledge. That's what entry level certifications are for, those only assess your technical competencies and employers don't expect you to have real-world experience but that you are competent to follow instructions. The only entry-level AWS cert is the Certified Cloud Practitioner
Hi Mike, thanks for sharing what goes on in the hiring process in the real world. I have just completed my degree and got a monitoring and production support role (microservices using Kubernetes). Should I stick with this role to pivot to MLOps in the future, or aim for a Data Analyst role instead?
So, there are certificate programs where one can actually learn SQL, Power BI, and Tableau. I assume those would be worthwhile based on what you mentioned in your “mini rant”? 😀
I don't think Mike is against Certificates of Completion. You can definitely use them to learn new skills, but putting that on your resume isn't gonna give you any plus points compared to your competition. On Udemy, you can just tick every module of the course and get a certificate 5 minutes after enrolling. It means nothing. There's no proof that you actually are knowlegable in the field. The reason, ACTUAL certifications from the Big 3 are actually valuable is because you need to go to a center and give an exam in a proctored setting. Chances of cheating are slim and if you pass, it's because you've actually learned something. Hence you can put that on your resume. Otherwise you're just wasting space
I agree with your response. However, we all know that Udemy is worthless in that regard. I was mainly referring to some of the better certificate programs that had actual labs and tests that you had to complete/pass to earn the certificate. If a person can show their competence from that alone, why overlook them for interviews? I have seen a lot of paper certified people in my career that don’t know a darn thing. So, certifications may get you an interview, but they aren’t the Holy Grail.
@@r.dalegoodman1048 Employers don't know or care whether the courses have labs. They know the names of the industry certifications and that's all that matters. Automated resume filters are also set up to detect those who have certifications
I’m pursuing a Bachelor's in Computer Science and Engineering (CSE) at a Tier-3 college and am currently in my 2nd year. I aim to become a software engineer. I’ve self-learned a lot, made open source contributions to projects like scikit-learn and Matplotlib, and have a good grasp of Data Structures and Algorithms (DSA). Most of my peers tell me to focus on DSA, but I’m unsure if that’s enough. I’m also uncertain about the best steps to secure a software engineering role. As a student, I want to be prepared and understand the reality of getting an SE job. Campus placements are not great at our college, so should I apply for jobs off-campus? What should I do and learn to land a decent software engineering job?
Hi Mike, what is your most recommended path to Data Engineering or MLE? The Data Analyst path is a little straightforward as in, you need to learn SQL, PowerBi and Tableau, and get the reputed certifications in these tools. But what about data engineering or MLE? I've been a data analyst for 3 years and a SQL developer for 2 years before that. Got laid off and got a part time MLE role at a startup. I wanna transition into DE or MLE for a fulltime role at a bigger company. There are so many varieties of things I see in JDs that I can't find a clear path. Can you shed some light on this?
Hey Mike, I have a degree in psychology so not really related to DA, would this still be okay to meet employers degree requirement, or should I just look for a different field to pursue? 😂
Love your Videos. I am currently doing my bachelor thesis, and have been working for almost 2 years in the field of cybersecurity. While working there, I realized how important it is going to be, to safeguard Machine Learning Solutions in Enterprises, as they create new vulnerabilities, which is why I am trying to find the best path for this upcoming industry. What would you recommend based on your expertise in this field? Does it make sense to do my masters in AI and Cybersecurity and work more in the field of cybersecurity? Or does it make more sense to focus on working as a ML Engineer or something? Would love to hear your opinion
![I.N "HALLUCINATION" | [Stray Kids : SKZ-PLAYER]](http://i.ytimg.com/vi/n5B5q1Hwt_U/mqdefault.jpg)
The type of wake up call some people need. Brutal, but needed
Thanks.
Hey Mike, I just passed my PL-300 yesterday! Thanks for pointing me in the right direction! 😁
can i please ask you how did you prepare for it and how long did it take you , i'm currently studying the definitive guide to dax book because i heard it is the most important part of the exam ( context transition...) but i don't know what other things i need to study for , thank you in advance.
@@hatimsalmi1947 udemy have plenty of materials
Congrats man! I hope that u get the job that u want!
@@hatimsalmi1947 I would say just learn the basics of everything and then do a ton of practice questions and that will teach you where you lack knowledge. Then close up those gaps and do more practice questions!! I did like 1000 practice questions before giving the exam
@@funkywubby thank you for your response but where do i find these practice exam questions ? Can you link me any please , thanks
Wow, this is great and really helpful I spent the last 8 years working at Amazon as a BA transitioned to DE but was forced out through their Pivot process, this was straight forward and pretty clear. Not going to lie the last few months I was doing all of this trying to get back into the industry. Lost soul 😭 was really trying to figure out why no one will even give me a chance. Thank you.
Literally was told to do all of this by mentors 🤬
It's really sad most professors know nothing about the real-world.
Damn I found this channel by random but its one of the best things i did becos now I know what to prioritize
Thanks.
Bro didn't hesitate 😭
Hey Muke, can u give us a Resume guide for an entry level Data Analyst? What to include what not to include? Basically how a Resume should look like.. Thanks for all the content you provide.
Sure. Here: ruclips.net/video/MWXZpIiXXoQ/видео.html
Can you make a video about how do I get experience if the entry level jobs require experience?
No video for that. If you can't get a job, you keep moving down the ladder. Next up, a help desk role.
But how to show what I have learned in resume since you are saying project is worthless. How do I prove I know sql?
You don't. You get past the phone screen questions and interview questions when you are asked. That's it.
So knowing that the DA role is the only entry level data role. Is ur advice for people out of college who want to be data engineers to get the PowerBI and Tableau cert, then get experience as a DA and then transition to DE? Also in you opinion do internships count as worthwhile experience for a field in data. Like I’ll be doing a DE internship, does it mean nothing or does it have some merit?
Yep. Yes, internships count but not for very much. If that's your only experience you won't get a real job with it.
@@thedatajanitor9537 But how can I get an entry level job which requires 2 years of experience?? If internships are not THAT HELPFUL how will I get the experience to get that real job ?
I've got till 2026 May till I graduate, I'm prepping for AWS Machine Learning Engineer Associate this December with plans to give AWS Data Engineer Associate and Solutions Architect Associate. We are told certifications isn't enough and you have to get experience in school (not that the emphasis is on cloud), so I'm doing some projects too. My question is for 1:04, is it really worthless in my scenario to get these certifications?
You need to understand the roles. For a MLE role? Yeah, nothing you can do is going to help you get a job. Simply don't going to happen. The only entry level data role is the data analyst.
@@thedatajanitor9537how do you explain new grad MLEs then? It's definitely rare, but it does happen. You certainly need prior internship experience to get a full-time job after college though.
If you have these certifications recruiters will assume that you have real experience in solving complex business problems and that experience is not learned by taking courses. You can pass any certification by taking courses, but then comes the interview and there the recruiters will see that you only learned how to pass a certification and follow a project tutorial at best, but you can't demonstrate business knowledge. That's what entry level certifications are for, those only assess your technical competencies and employers don't expect you to have real-world experience but that you are competent to follow instructions. The only entry-level AWS cert is the Certified Cloud Practitioner
Hi Mike, thanks for sharing what goes on in the hiring process in the real world. I have just completed my degree and got a monitoring and production support role (microservices using Kubernetes). Should I stick with this role to pivot to MLOps in the future, or aim for a Data Analyst role instead?
Stick with this role until you know what you want to do.
So, there are certificate programs where one can actually learn SQL, Power BI, and Tableau. I assume those would be worthwhile based on what you mentioned in your “mini rant”? 😀
I don't think Mike is against Certificates of Completion. You can definitely use them to learn new skills, but putting that on your resume isn't gonna give you any plus points compared to your competition. On Udemy, you can just tick every module of the course and get a certificate 5 minutes after enrolling. It means nothing. There's no proof that you actually are knowlegable in the field. The reason, ACTUAL certifications from the Big 3 are actually valuable is because you need to go to a center and give an exam in a proctored setting. Chances of cheating are slim and if you pass, it's because you've actually learned something. Hence you can put that on your resume. Otherwise you're just wasting space
I agree with your response. However, we all know that Udemy is worthless in that regard. I was mainly referring to some of the better certificate programs that had actual labs and tests that you had to complete/pass to earn the certificate. If a person can show their competence from that alone, why overlook them for interviews? I have seen a lot of paper certified people in my career that don’t know a darn thing. So, certifications may get you an interview, but they aren’t the Holy Grail.
@@r.dalegoodman1048 Employers don't know or care whether the courses have labs. They know the names of the industry certifications and that's all that matters. Automated resume filters are also set up to detect those who have certifications
I’m pursuing a Bachelor's in Computer Science and Engineering (CSE) at a Tier-3 college and am currently in my 2nd year. I aim to become a software engineer. I’ve self-learned a lot, made open source contributions to projects like scikit-learn and Matplotlib, and have a good grasp of Data Structures and Algorithms (DSA). Most of my peers tell me to focus on DSA, but I’m unsure if that’s enough. I’m also uncertain about the best steps to secure a software engineering role.
As a student, I want to be prepared and understand the reality of getting an SE job. Campus placements are not great at our college, so should I apply for jobs off-campus? What should I do and learn to land a decent software engineering job?
from ur comment i assume u r from india
Hi Mike, what is your most recommended path to Data Engineering or MLE? The Data Analyst path is a little straightforward as in, you need to learn SQL, PowerBi and Tableau, and get the reputed certifications in these tools. But what about data engineering or MLE? I've been a data analyst for 3 years and a SQL developer for 2 years before that. Got laid off and got a part time MLE role at a startup. I wanna transition into DE or MLE for a fulltime role at a bigger company. There are so many varieties of things I see in JDs that I can't find a clear path. Can you shed some light on this?
Dear Data Janitor, your content is interesting. However, I wonder what do you think of Free Code Camp's certifications?
The don't offer any "CERTIFICATIONS" that count. Here, watch this: ruclips.net/video/z22OFxUchSs/видео.html
Worthless, they are neither protected nor endorsed by big companies
Mike is spot on 💯
Hey Mike, I have a degree in psychology so not really related to DA, would this still be okay to meet employers degree requirement, or should I just look for a different field to pursue? 😂
Any degree will work. I have a degree in Psych also. Companies don't care about degree, they care about skills.
@ Ok huge thanks Mike, time to get that pl300 now
Hi Mike, do you know Microsoft Fabric , i thought to do DP600, so checking with u
No one uses fabric yet. Yes, it will be good in a year or so but companies don't move that fast.
Love your Videos. I am currently doing my bachelor thesis, and have been working for almost 2 years in the field of cybersecurity. While working there, I realized how important it is going to be, to safeguard Machine Learning Solutions in Enterprises, as they create new vulnerabilities, which is why I am trying to find the best path for this upcoming industry. What would you recommend based on your expertise in this field? Does it make sense to do my masters in AI and Cybersecurity and work more in the field of cybersecurity? Or does it make more sense to focus on working as a ML Engineer or something?
Would love to hear your opinion
THANKYOU!!!!!
Once you understand the correct path, the only thing you need to do is learn and apply what you learned. Thanks for watching.