Beginner to (Employed) Data Scientist in 2025: Complete Roadmap - Skills, Projects, CV, Interviews

[@divyanshpandey8355]

Video was really helpful, but I'll go out of my way to say that you're style is captivating. All the best to you too!!

[@Gratitude.Driven]

Thank you!

[@sarahgutierrez8196]

Every piece of advice in this hour felt super helpful. I’m heavily considering switching to data scientist right now and will definitely be coming back to this video frequently as I go along! Thank you so much

[@Gratitude.Driven]

I am glad it was helpful! Thanks for watching

[@jamesmiths72]

Thanks for the video, very helpfull.

[@Gratitude.Driven]

Glad it was helpful, thanks for watching!

[@erika-x9w5x]

Thank you for this guide. I recently finished a PhD in oceanography and am looking to pivot away from the field, and data science seems like an incredible career, I'll be spending my 2025 breaking into it.

[@Gratitude.Driven]

Best of luck!

[@tushar2250]

Thank you for such an in-depth roadmap video❤

[@Gratitude.Driven]

Happy it was helpful! Thanks for watching!

[@apexfossa]

Thank you for existing 🙏. Great roadmap and infos

[@Gratitude.Driven]

@@apexfossa Thanks for watching!

[@ITsoKAY_15]

Thank you, I really appreciate and am grateful for your time.❤

[@iCodeStuff69]

please make a video on data science feelance and remote job hunting

[@Gratitude.Driven]

Good idea, I'll add it to the list!

[@JulineRodrigues]

Thank you very much. Your chanel is so helpfull.

[@Gratitude.Driven]

Thanks for watching, glad it was helpful!

[@User_Learner_88]

Thanks mam , this is really helpful for me 🙏

[@User_Learner_88]

I ask one dout on insta short video,but no one give me reply

[@_MANISINGH]

Thank you, it means a lot.☺

[@Gratitude.Driven]

I hope this is helpful!

[@anuvabkumarrit4669]

This is such a great video, really greatful to find your channel. Please let us know if there is a way to book 1:1 career mentorship!

[@Gratitude.Driven]

Thank you! I take limited appointments for new mentees these days, but there's a link in the video description if you're interested.

[@antarikshshreshthi]

Thankyou! Can you also please make a guide for ml engineer.

[@Gratitude.Driven]

Yeah, good idea! I'll think about that in the next few months.

[@antarikshshreshthi]

@@Gratitude.Driven Thank you so much!!

[@abhishekpise2912]

Really Great video. Cover almost all the areas and got a honest feedback. Is there any mentorship program where likeminded people can connect?

[@Gratitude.Driven]

I'm glad it was helpful! There are Reddit communities like /datascience and /learnmachinelearning, and Discord servers like Learn AI Together, The Data Share, and Chronic Coders. I haven't been involved with these personally in a while, but I'm sure that at least some are still active and a good place to interact with others. One day I'd love to start something myself, but it's early days for me, so we'll see how it goes! Thanks for watching.

[@anirudh2660]

Also need a roadmap from entering your heart to get married 🥰. Love you 💕

[@prasanthkaza7137]

thank you very much marina . it means a lot. totally helpful and valuable. please inlcude the github reference links shown in the video to optimize the github and create a well structured portfolio.

[@prasanthkaza7137]

I will definitely implement each and every step described in the video to progress in the field of AI and ML.

[@Gratitude.Driven]

Glad it was helpful! The Github examples (and more) are in the free e-book linked in the description!

[@debasissahoo7559]

Interesting dear🎉 just need to know how to start a startups used to DS in both locally and internationally ??? How to get clients as well?? And what statergy should follow to delivered their projects and price accordingly?? Plz guide and suggestion 🙏 ❤

[@PranavIngale-d4h]

Where i find your 80 pages book 📖

[@Gratitude.Driven]

Link is in the description!

[@PranavIngale-d4h]

I subscribe your website but didn't get your ebook 80 pages please guide me ​@@Gratitude.Driven

[@PranavIngale-d4h]

@Gratitude.Driven i subscribe your website but didn't find there any 80 page ebook please guide me

[@hypergaming024]

hey,how can i contact you if i need more information and get advice from you(become my mentor please, i will ask some questions and i will just take 10 mins in a week).

[@Gratitude.Driven]

Hi! I'm available for 30 minute consultations at topmate.io/marina_wyss

[@Sai-ge1no]

What about the dsa?

[@Gratitude.Driven]

It's relevant to pass some coding interviews but not relevant for the actual job of a data scientist.

[@anishnair45]

Thankyou! What is your advice for someone 35+ years of age ?

[@Gratitude.Driven]

The advice is the same -- you can become a great data scientist at any age. Best of luck!

[@anishnair45]

@Gratitude.Driven Thanks Marina. I for some reason feel that I am too old to be a data scientist.

[@Gratitude.Driven]

@@anishnair45 I wouldn't worry about this. I was about 30 when I transitioned into the field, and I work with many people in their 40s and up. You can do it!

[@anishnair45]

@@Gratitude.Driven Thanks Marina! Quick question ? In the learning resources for python , you mentioned the Python for Data Analysis e-book by Wes McKinney as one of the option. While going through the book the author mentioned this note below . " There are introductory Python concepts that this chapter does not cover, like classes and object-oriented programming, which you may find useful in your foray into data analysis in Python. To deepen your Python language knowledge, I recommend that you supplement this chapter with the official Python tutorial and potentially one of the many excellent books on general-purpose Python programming. Some recommendations to get you started include: Python Cookbook, Third Edition, by David Beazley and Brian K. Jones (O'Reilly) Fluent Python by Luciano Ramalho (O'Reilly) Effective Python, Second Edition, by Brett Slatkin (Addison-Wesley)" Do i need to also go through the official Python tutorial and any one of the books mentioned as well along with this book while learning python. If yes , then that would be a lot to study just for python and take a lot of time else i can simply overlook the note for now and go ahead learning from the book. Let me know your thoughts.

[@Gratitude.Driven]

@anishnair45 Object-oriented programming is good to know, but I think it should come after all the other fundamental skills you need for the job. Once you're working on projects you'll get comfortable with Python and can just watch a couple of KZbin videos to pick up enough OOP for most roles.

[@lw4423]

are you from a rural area (possibly west virginia)?

[@Gratitude.Driven]

Nope, lived most of my life in California!

[@ArunKumar-bp5lo]

begin by getting rejected

[@Gratitude.Driven]

Rejection is a big part of the beginner experience, 100%. The question is whether you're willing to push through that to achieve the bigger goal. Best of luck!

[@antoninosota1150]

Stop publishing such videos for god sake. I have been data scientist for years and I can confirm you getting a new job in data science is going to be impossible if you don't learn AI and master LLM Finetuning and RAG (Langchain)

[@Gratitude.Driven]

Thanks for your input! We've hired several Data Scientists (a few entry level) in the last few months, and none of them will be working with LLMs. I think it's totally awesome if someone has the time to learn these skills -- absolutely valuable -- but, I'm assuming someone is starting from not being able to code or understand basic stats. There's no reason that they shouldn't learn these things at some point, but I don't believe that lacking deep LLM skills should stop someone from putting themselves out there and trying for the many positions that don't require this. We all have to start somewhere, and I know from my personal experience on hiring panels for Amazon that LLM skills are not always required, especially for entry-level or more analytics-focused DS positions. Best wishes!

[@Aftabby101]

​@@Gratitude.Driven You really shared a great point there. Can I get your LinkedIn id? I had some questions regarding the current data scientist path I'm pursuing.

[@jamesmiths72]

​@@Gratitude.Driven What a good answer. Helps a lot. Thanks.