Thank you so much for share your experience! I've been working on big companies for 10 years, and it's always hard to start new projects at a new team - you have to adapt yourself all over again to better communicate with that new group of stakeholders and team colleagues. There's no magic formula to deal with people! :)
I hope I'm not late or have missed a lot but I've just started to be a fan of this channel. Your journey and insights in data science are golden! You're so generous to share them! Kudos to you, Anastasia! 🥰🤓😍
I find the content sooooo inspiring! I am not a newbie in the corporate world, but just listening to your tips, made me rethink on how I did it myself.
Anastasia! Thank you for this video! I am looking for a job now as a Junior Data Scientist, and it's hard for me to switch from student-life to full-time-job-life :) Nice to watch your channel!
Hello! a job opportunity has come in Sweden and I have found your videos very useful (I am living in the UK). How do you pack if you are traveling every few years? Surely you can't live off a few suitcases for this amount of time. I noticed you had homely things placed around your surroundings and I wondered if these came with you. Keep up the good work!
According to my personal experience, it's hard to ask questions when your coworker is hostile =(. Some people are too blunt and say whatever they have in their mind without considering what the listener would feel...
Anastasia, I would like to meet you ;) Would you go for a walk with me, when you aren't doing data science and recording for youtube? I would love to listen your stories about Moscow and Russia, while we walking through Stockholm
Hi, great fan of your videos and channel! I'm struggling right row with deadlines and keep up with all the new stuff I have to learn. Maybe can you make a video about this? I'm computer science engineer and now I've started working in a new company as a consultant. How to learn different things at the same time? Is like you say it's an ocean and sometimes I'm feeling like I'm drowning. Thanks for your great content!
I needed this! With one more year left at uni, I'm so nervous about the transition to work-life. Think I'd postpone it by a year and do my masters though... hehehe
Thanks for sharing about your experiences! I'm trying to learn about Data Science, but the actual scenario has not been so helpful, and English is not my mother language then I spend a lot of time just understanding new basics terms. Watching videos like yours helps me a lot with de tip #6. Currently, I'm learning about reports and practicing with Kaggle. If I can, I would like to suggest a subject for some future video: Doing a Data Science Task / Project. Every video about this that I found wasn't looking like a real task, It looks more like a course project. PS: You are really happier at this video. Enjoy the weather!
That's a good suggestion! What do you mean by "it doesn't look like an actual task, more a course project?" Not sure I understand 😊 Good luck on your learning journey!
Thanks, @@AnastasiaKVL ! I meant these examples seem very abstract, not a real case. Sometimes they use simple datasets, without problems or with problems easy to solve. Other times, the examples are about some well know topics or with results already knew before doing the task. Example: Projects with movie datasets analyzing the most popular genres or looking for streaming user's profiles are, in my opinion, saturated. Just to don't be misunderstood, I like these videos too. They are great to get a general perspective about de Data Science activities. But, sometimes, I want to know how really is a task in a day of a data scientist with some particularities. Maybe I'm wrong about this, I have never been in a data science job ...yet. So, I would appreciate knowing more about how is a real task in a real job/project.
@@Gustavo-gy2xe If you’re working for a company as a Data Scientist, your company probably doesn’t want you to tell people online about that companies data, you know? So I don’t think scientists can use the type of particular data examples that you’re looking for. But perhaps you can find better, more in-depth analysis and problem-solving type examples elsewhere.
