Data scientist with a keen interest in innovative technologies, mindset, and self-accountability. This is a channel where I share useful tips about data science, AI, and personal growth.
Anothet smart successful guy is a one piece fan , not surprised! I do have a question, how do you sustainably up-skill yourself without getting burnt out?
@@rozariodsouza6810 haha! One piece fan since I was 7 yo (20 years ago 😮). I unskill in cycles. So if I'm learning something new let's say Microsoft Fabric I will dedicate nearly 6 weeks to learning it then apply it in my work. Then after that I stop learning technical stuff for a few weeks, I will usually go for personal growth, mindset, sports... it's all about cycles in my life
Hey I also want to become a data scientist but I'm very weak in mathematics I'm good at statistics but really weak at maths can you tell me how much math is required to become a data scientist and can i become a data scientist
@@souravsapkal6584 first, if you plan to become a data scientist then you should forget the word 'can't' because as a data scientist you should be able to figure out anything even if you don't know it right now. The ability to learn new things along the way is a skill a data scientist should have. To answer your question I don't use much maths in the traditional way. Nowadays, the logic and calculations are all done programmatically and you don't have to the statistics with pen and paper. You need a basic understanding of maths and whatever else you need just figure it out along the way
@@souravsapkal6584 there are internships and graduate roles of course but data science isn't an entry level job. You will find most job description asking for experience which is unfair for someone who is just starting out. That's why I advise people to do freelancing while studying for their degree because it gives them the experience they need to get a job after graduation. Let's say you do a 2 year masters degree in data science, instead of starting to apply after graduation with 0 real life experience, why don't you do freelancing alongside your studies then you put those experiences on LinkedIn and in your CV? Instead of starting as a graduate you could start as a junior if you do things right. I hope this helps.
In theory, you should be able to. However, you might need to take a few additional courses in computer science or programming, depending on the specific requirements of the program you choose.
Very useful information. Thank you for sharing. I applied for both universities in UK and USA and have received offers for both so this comes just in time.
A prestigious university adds some networking capabilities compared to other universities. But as you said soft skills are the ones that make all the difference.
@@anas_riad Yeah man your channel has been such a big help so far as I am myself an Electrical engineer going for masters in data science in the UK and am very scared with this switch. I would want you to make a video on what type of certifications are useful for data science graduates and if they at all enhance any chances with jobs later on that would be really helpful as this is the topic you haven't touched deeply on your channel. And what type of skills such people need to quickly work on who are transitioning and don't have a lot of IT background. It can be two separate videos even.
@@thepunisher3677 I will happily plan those videos for the upcoming weeks. For a start learning SQL, Python (for data analysis) and a visualization tool such as Power BI would help immensely. There are plenty of resources on RU-vid to learn from scratch so have a quick look and find a tutor that you like and stick with him/her. There's a great tutor on Udemy, his name is Nikolai Schule (not 100% sure) and he has amazing courses on SQL and Power BI (maybe even on Python but not sure). Again, thanks for the suggestions. I will cover these very soon. Cheers!
@@mehmetomerdemir2809 I'm sorry to hear about your job situation. It took me 9 months to land a job and honestly, it didn't work for me by just applying to lots of jobs on LinkedIn or other platforms. What helped me was using LinkedIn but in a different way. I covered this topic in detail in this video: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-jpbU0uxRXhs.html Let me know how I could help.
That's quite early. I never heard of anyone as dedicated as you are :) My advice would be to start learning the basics of data science: Programming (Python, SQL), Mathematics and statistics (basic), and machine learning (frameworks, libraries, real-life applications). You can find each of these topics on RU-vid separately.
great video! and indeed with the pricing, i have heard from friends that once they (significantly) increased their rates, paradoxically clients appreciated their advice more and were more relaxed. the most demanding/micro-managing clients were the ones with small budgets
@@vladm.6859 I experienced this first hand. When I started I was charging low and I was still learning at the time. Clients were super demanding and made me work overtime and on top of that didn't fully appreciate the work. When you increase your prices you look more valuable and trustworthy.
Yes, I recently passed the Microsoft Power Bi certification. It was part of my requirements at work. I self studied from different sources (RU-vid, Udemy, and Microsoft learn). Plus, I have some experience working on Power BI which helps massively.
Great advice! As someone who is coming from an HR background, I set the goal to transition career to DS. I know it is very hard and challenging but the videos that you put out help me stay on course. Thank you so much for the great content!
@@exposedthat it definitely is. More and more companies around the world are leveraging data to make thought decisions. With that increase comes an increase in demand in data specialists (data engineer, scientists, analysts...)
Hi Mohammad, I would say it really depends on the technology you want to focus on. There's more to do with Google than IBM in my opinion. What I learned by doing certifications is that each company teaches you to use their tools so you better go for the things that could benefit you. For example, in the company I work in we leverage mostly Microsoft so I'm doing Microsoft certifications. Hope this helps.
Your video just popped on the right time because I want to start to apply for jobs and I am lost and didn't know where to start. This video helps a lot . Thank you and good luck with your channel
There's no best answer here. If you're sure that data science is what you want to do in 3 to 5 years then you can do it in undergrads. But if you're a bit more flexible than computer science opens doors to many discipline. I did a master's in computer science and work as a data scientist afterwards.
@@anas_riad but can I become a Data Scientist after doing Bachelors in Data Science? Do I need to do Masters again if I did data science bachelor itself to become Data Scientist? Hope to get Ur replay and best advice....
@@yanishshrestha8331 An undergraduate degree in data science can be enough to work as a data scientist, especially if you supplement your education with relevant projects, internships, and practical experience. However, a master's could help you specialize even more.
