I SUCK AT EVERYTHING..

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In this video, I talk about how one year into my business journey, I had a major realization that shook me to my core - I didn't have any unique skills that set me up for success. Marketing, content creation, and customer support were all struggles for me. I share what I’ve learned so far, and let you in on the mindset shift that helped me feel more confident, capable, and determined to succeed.
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Contents of this video:
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00:00 Introduction
00:19 My Background
00:43 Starting a Company vs. Being a Data Science
01:24 I Suck At Everything
02:14 Everything Is A Skill I Need To Learn
02:47 Learn More

Опубликовано:

4 авг 2024

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Комментарии : 23

@Nguyenhuynhtrucgiang Год назад

I love the mindset that everything is just a skill or muscle that you need to strengthen! I'm a data scientist and really want to have my own business in the future.

@mailmrkris1 Год назад

If you think you ‘suck’ at everything, it’s only upward trajectory from there.. good realization one needs to have

@tink417 Год назад

Your content is very great! Thanks!

@arjunbali9270 Год назад

Great answer to the question Emma :)

@AllieZhao Год назад

That truly resonates with me. It is a growth mindset and just like building muscle. Working for ourselves is so challenging but so rewarding. You learned how to survive without too dependent on others and you also have great opportunities to thrive because you have full ownership and you have more freedom. It takes courage and risk to quit a decent and stable job, but as a life experience it is worthy.

@emma_ding Год назад

Love that! Thanks for such so such an inspiring comment, Allie!

@AllieZhao Год назад

Marketing and sale skills are a must for anyone wants to work independently and in the future. You have chance to test it and discover that you need to improve it. Also along the journey, you share with us with your pain point and what you learned which is meaningful and valuable, also you get to know yourself better and better.

@OrpheusObjectMRH Год назад

I really LOVE this lady - she is so talented, sincere, focused, and has a great sense of humor! Generally, I agree with many of her views and tips, which I've found insightful and useful.

@emma_ding Год назад

Thank you for the kind comment! I truly love what I do, so I'm glad to hear you're finding my content helpful. 😊

@drc_ontheseen Год назад

I’m a data scientist who’s been running side hustles for awhile now and love to hear more about your experience. The balance of it all and keeping up with demand has been most challenging for me.

@emma_ding Год назад

Thanks for sharing! Will definitely share more!

@Doctor_monk Год назад

What kind of side hustles are you running? (Fellow data scientist)

@davidskarbrevik Год назад

As a data scientist that is interested in starting my own businesses I would love to hear more about this. There are plenty of videos like “I made a healthcare startup” and they just made an api for some random classifier and called it a day. Sure I can do that but who would know or care? I suck at sales. I suck at social media. How can I take my data science skill set and start adding skills that will make sense to me and be meaningful as an entrepreneur?

@andregomes2629 Год назад

I would like to know more about ur trajectory and challenges, coming from data science to owing a business 🌱

@emma_ding Год назад

Hi, André! Thanks for your comment, and your interest in my story. 😊 Feel free to check out my "About Me" playlist for more videos on my personal journey: ru-vid.com/group/PLY1Fi4XflWSu2Yxs5XBHhgDbdgI_VI8hl Hope this helps!

@LCRedemption Год назад

How do you evaluate which online or offline learning source truly worth your time?

@ayushgarg7666 Год назад

I am very new to data fields I'm still not sure if it is right for me or not but I really love to know more about your experience.

@emma_ding Год назад

Hi, Ayush! Welcome to the data science community! 😊 I've created a whole "About Me" playlist for this very purpose, so feel free to check it out here: ru-vid.com/group/PLY1Fi4XflWSu2Yxs5XBHhgDbdgI_VI8hl Hope this helps!

@ayushgarg7666 Год назад

@@emma_ding thank you. I will definitely go though that playlist

@Doctor_monk Год назад

I am assuming coaching people to get job wasn’t the first thing on your mind. Do you have any other business ideas or side hustles for data scientists that you discarded or you would pursue if you had time? I would love to hear some ideas from you.

@bobbyf.4406 Год назад

It's the first time to see Emma's unhappy face

@ampersignia Год назад

Hmmm I think this content maybe veers too far from your Emma Ding / Data Interview Pro channel. I feel like your channel has a very tight scope (so far) and I really like that about it -- you haven't tried to become some kind of vlogger or day in the life or halfway motivational speaker like some other tech oriented channels. Yours is pure evergreen education that I constantly recommend to my coworkers and other data professionals for more data education/demos (I literally say "look up Emma Ding"). If it becomes like a business owner/entrepreneur day in the life channel, I wouldn't want to recommend it much. However, if it was in Shorts (if you still want to leverage your RU-vid audience), or on Instagram, or maybe a 2nd channel.. I could understand that as I think those are more suited for discussion/connection rather than education. I would generally like the content because my significant other is starting a new business partnership with someone else and it's their 4th year of their niche business in general. I do random analytics work for them and will probably do more work for them this year after the partnership officially starts.

@emma_ding Год назад

Thanks for your comment, and for watching and recommending my channel! 😊 I actually do receive quite a few requests for more personal content, so to help keep everything organized, I find sorting my videos into playlists seems to work well for everyone; that way, everyone can easily find what they need! Don't worry, it has always been my goal to provide the best support and resources I can for the data science community, and I plan to continue working toward that aim.