I'll discuss topics related to data science, machine learning, recent news and new tools, and the career advice in the field of data science. My name is Andras Zsom, and I'm an Assistant Professor of the Practice of Data Science at the Data Science Institute at Brown University.
Hello, I'm an aspiring data scientist. Please, tell me what are the basic skills to get an entry-level data scientist job(Junior Data Scientist). I am desperately trying to change my career. Thanks in advance.
It depends quite a lot on what discipline you want to apply your skills at (e.g., healthcare, finance, tech). Once you decide on the discipline, go on LinkedIn and find maybe 10-20 relevant job ads and check what's in the required skills/experiences section. This is how you'll know what you need.
I'm considering a career transition from finance to data science. As a first step I intend to take a MS in this field, I'm 44 age old. Is this not a foolish idea?
It depends on your background. Most programs require you to have a pretty solid background in linear algebra, calculus, probability/statistics, and coding. There are also plenty of online and part-time master's programs dedicated for professionals who plan to transition into the field. Check those out!
@@DSCV-YTwhat’s the difference between data scientist vs. data analyst? My background is accounting. I do statistical data reporting such as monthly sales, statistics, etc. love working with excel, graph, 10 yrs data analysis, I pull data from the software manually no scheduled reports then compile them in excel spreadsheet. Sometimes I use power query to amend files/tabs. Am I considered data analyst?
One of my other videos is exactly about this topic: the difference between DS and DA! ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-MRDhD0W8WAw.html If you check some data analyst job ads on e.g., LinkedIn, you'll see that you miss some important skills like python, SQL, powerBI, and tableau that data analysts often use.
@@DSCV-YT thank you. Will check it out. Appreciate your videos. Is PowerBI a dashboard for management view? Can I extract data from PowerBI like I currently extract data from the EHR (electronic healthcare records) software? Then clean the data and use excel functions to compile the statistical report. Instead of manually extract the data, what other options can I have? How can i utilize SQL in my case? I used to do html coding before.
I am a software engineer student and the video popped up in my feed. As a freelancer video editor I can help you with video editing with your preferred style. Let me know your response sir. Thank you for providing this much value.
Thanks for this wonderful video I've been following your channel Like you, I'm also from non CS background ( i.e Maths ) One sincere request, can you please review my resume ?
Can you talk more about the competition in the field? Average LinkedIn data science job has over 1500 applicants, seems daunting to even begin to get into the field with such competition waiting
Yeah, it is pretty tough. If I were you, Easy Apply wouldn't be my main job search strategy. My next video will come out early next week. I'll describe three ways to help your resume stand out in this crowded applicant pool.
@@DSCV-YT Cool. I'm also curious as to why there is such crowded competition in the first place - so many media outlets hype data science as extremely in-demand, every company needs them etc. And yet no one seems to be able to get a data science job. Is there just a glut of data scientists because of the hype? Or are there lots of applicants who may have only done a few online classes or certificates, but relatively few qualified MS or PhD data scientists? Just want a better picture of the field.
Yeah, a supply-demand issue could be a part of this. The way most people apply is also a problem. Easy Apply is easy so everyone does it but it's really difficult to stand out in an applicant pool if you apply without any connections to the company. I think in this market, referrals are the way to go. Only 7% of applicants come with a referral, but they lead to 30-50% of the hires. www.zippia.com/advice/employee-referral-statistics/
🌟 If you are an aspiring or early career data scientist and you need some career guidance, book a FREE 30-minute consultation with me today! calendly.com/ds-cross-validated/30min
🌟 If you are an aspiring or early career data scientist and you need some career guidance, book a FREE 30-minute consultation with me today! calendly.com/ds-cross-validated/30min
🌟 If you are an aspiring or early career data scientist and you need some career guidance, book a FREE 30-minute consultation with me today! calendly.com/ds-cross-validated/30min
🌟 If you are an aspiring or early career data scientist and you need some career guidance, book a FREE 30-minute consultation with me today! calendly.com/ds-cross-validated/30min
The video's suggestions apply to early career data scientists and analysts so I think it applies to you as well. Let me know if you are interested in 1:1 career advising. You can sign up for a free call here: calendly.com/ds-cross-validated/30min
Hahaha, I'm afraid so! There are some great online courses though. One great example is the math in ML specialization on deeplearning.ai. www.deeplearning.ai/courses/mathematics-for-machine-learning-and-data-science-specialization/ Let me know if you know of a better way!
Hey Andras , really nice video ! I was wondering if I could help you with more Quality Editing in your videos and also make a highly engaging Thumbnail which will help your videos to reach to a wider audience ? Pls let me know what do you think ?
Data science is such an awesome career. It involves being able to grasp different concepts and put them all together; math: calculus, stats, probability; programming: Python, sql, R and more if you’re in specialized field. What you can do with this is exciting, especially in this technological fast advancing era that we’re in. AI, machine learning, NLP, it just seems like you can do so much. You absolutely need to be good at math to thrive in this field, but if you enjoy crunching numbers just like I do then look into DS.
Thank you for a very valuable video. I am just at the stage of changing my profession from construction engineer to Data Scientist. I love to automate various things, I like to learn new things and in fact since I was a child I wanted to become a programmer. However, I think a counter-question to your questions should be asked: what is your work environment like? My current one is very toxic. Nowadays, the construction engineer has no respect and is treated as a cockroach who is forever destroying the architect's brilliant ideas and generating unnecessary costs. At the end of the day, the raw construction is not seen by anyone. It just is. On top of that, everything is done byond the payoff limits, which generates tremendous time pressure, for work that is cretative and cannot be defined in a specific time frame. Either I will come up with a solution in 2h or in 20h ¯\_(ツ)_/¯ That's why the question about the working environment is unalterably important. If you are working as a Data Scientist, struggling with data, cleaning it, looking everywhere for additional information, and at the end a burly man comes and says that he has taken too long and knows the answer in advance, and what you have actually been doing for the last month - it makes you shy away from any work. I do not think that it is like that. Therefore, I think that despite the difficulties arising from the nature of the profession as a Data Scientist, you are nevertheless perceived as a specialist and a person of great competence. There is an understanding, however, that you work on a matter that is not known, on which you do not know the answer directly. This human part is very important to me.
I'm sorry to hear about your toxic work environment, that's awful. Unfortunately the work environment in data science can be toxic too. There can be strict deadlines on creative and unpredictably complex tasks, your manager might question whether you spent your time effectively, your coworkers can be awful. I think a toxic work environment is created by your boss and co-workers mostly (the human part as you called it) and it can happen in any profession. Data science is definitely not an exception.
Sir I have done bachelor's in math and statistics and i want to do masters and phd in data sciences. Guide me how to do and where from to do it. I am from pakistan
I don't think the level of competitiveness correlates with a field's age. Sure, data science is a relatively new field but lots of people want to work as a data scientist.
Thanks a million dear Professor ❤❤❤ You have brought about some of the most important questions one has to ask before making his decision. Really did I enjoy the content you have provided and will wait for more from you since I have already taken my steps to become a Data Scientist. 😊
The ground realities which are so often ignored to tell. Thank You for educating about all those thing which we actually need to know but generally overlooked and directly jump into the pool of study materials and then hit here and there.
Liked and subscribed! I discovered that I love this field and am doing bootcamps to bridge the gap in technical knowledge in order to pivot to a DS role. I have a STEM background but no masters or PHD. I have a decade of experience in business, startups, e-commerce and real estate investing. Any tips for how to break in to the field?
Thanks for the like and subscribe! I will be brutally honest with you. It will likely be pretty difficult to break into this field in today's job market. You could consider completing an online data science master's program that's geared towards non-data science professionals who can only study part-time to increase your chances. If you have solid python, R, and SQL skills, you could apply for internships too as a starting point. Consider data analyst roles too!
Calculus and linear algebra are the foundations required to understand most machine learning models and everything in deep learning. Not sure what you mean by 'extremely good' but you do need pretty solid math skills.
Thanks for sharing your knowledge with us in such a comprehensible manner. It clarified a lot of points regarding what to expect from a data science position.
That's a tough question. Collect maybe 10-20 job ads relevant to you and check what the required skills and experiences are. There is no general answer here because employers look for quite different things in different disciplines like biomed, finance, and tech.
Well prepared structured disciplined ways Please make more teachings on using bleeding edge tech dbs Please make video on using autogen , petals ai, or similar kinds for ordinary enthusiastic people who are not computer science majors Thanks Thanks 🙏
