I think business strategy is important for data scientists, and then learning to deal with ambiguity. Business majors are great at dealing with ambiguity where as technical people such as engineers, data scientists etc struggle with a lot. By ambiguity, I mean that in business, 1 + 1 does not equal 2... it could equal 3 or 5 or -2.
I love all these Points. When i newly joined a company and i have to understand the working of sql structure if the company and find insights from report was hard becuase i was not aware of deep level of understanding of how exactly the company internally works and then my manager included me in his meetings and from there i started talking other department co worker about thier job and contribution which helped me a lot in my job💯.and Looking Fancy Ken , we are rooting for ken with suit in further video haha😆.
@@KenJee_ds Thank you!!! ✨ Your data science salary prediction project helped me a lot to improve my portfolio by making similar project which also made me pass my interview round.
Fantastic video Ken. Excellent tips and ideas on business skills. Inspiration is key to learning and RU-vid, blogs and books are a perfect way of getting you out the blocks fast. Thanks for the mention. All the best Mike
Communication, man. It is very underestimated. Most of the time, we can achieve much more if we collaborate with others. On the other hand, it requires one to have strong communication skills to manage such a collaborative organization. Unfortunately, people opt out collaborating because they fail to communicate. I am not talking about just talking to each other. I am talking about "understanding each other" and willing to solve problems together. 2 years ago, before my PhD oral exam, one wise professor in my PhD committee told me to relax and enjoy the process because no PhD student can be smarter than 5 professors testing you. That was a great advice, and it is very true that we are stronger together IF we can communicate to be a coherent group. With that said, I am wondering if there is a video about different "data" related roles. I am looking for internships. There are different roles, such as data engineer, data scientist, data analyst, machine learning engineer, AI engineer, etc... I have a broad idea how they differentiate, but I would like to learn more about these roles and their requirements. I quickly skimmed your videos, Ken, but couldn't find a video about it. I mean a video including all these roles, not just comparing data analyst and data scientist. If there is one, can you point me it? If not, it would be great to see a video about that. You are doing great work popularizing the field and making data science accessible to more people, Ken. Thank you! =)
How to talk to different people? If someone is good in this skill things can get more easier. I think, Communication is an art as it's the first step... I myself find how can I make more improvements to my communication skills while working in industry.
Thanks for your very informative video :) I'm very technical, so it was very helpful for me :) I would also be interested in a video about how to talk with different people :)
Fully agree it's crucial to learn how the business makes money and learn how to clearly articulate how what you want to do will help the company make more of it. :D
Yes they're important, Understanding data structures is among the basics of machine learning, algorithms is at the heart of machine learning, actually machine learning is basically about algorithms
I think they are very important, but not when you're just starting out. I found that after had more coding aptitude, data structures and algorithms made more sense because I could more easily apply them
@@muhammadhashir7949 Data structures and algorithms are important if you want a job as a machine learning engineer. However, data scientists generally don't need such strong coding skills. They're a lot of fun to learn regardless of your planned career.
Thanks for the awesome video! Please make a video on how to talk to different audiences! It will be helpful to us (and you will earn a lot of loyal subscribers ;) )
Ehhh, we can always improve, but I wouldn't take that much blame. If you are trying to help them and they'll only give you one word answers, they're just being jerks.
