3rd tip is underrated. that’s even better than having a degree. do projects! additionally learn and master, if you can, data structures and algorithm as these are main focus during a technical interview even on the tech companies in the US like google and meta
Thanks a lot been looking where to start about data analytics or data science. Hopefully more videos to come. First order of business IKIGAI and Research sa datacamp. Thanks again
"Keep coding" "Do projects" yah nice tip, but how? I think you should do a video where we can land a practice job, a data entry atleast. Anyways, great video sir! Thank you 😁
macbooks are the preferred choice for doing anything related to tech. yan yung number 1 ginagamit in the states and others as well. it's an unspoken standard. u are golden in terms sa equipment. all u need are the skills
python is open source. sql is not, because it's a standard. maraming vendors ang sql. pero wala naman siyang relation sa entry. open source or not, doesn't hinder u to learn a tech skill
This is a good question. Different people might have different answers. Pero here's mine. I define Data Science as anything that uses data in a technological manner -- whether it's for Analysis, Engineering, Machine Learning, etc. For me, everyone who works and use data is a Data Scientist. Even a Data Analyst is a Data Scientist. Some people defining Data Scientist as those who only use AI and ML. Which for me is wrong. A Data Engineer is still considered a Data Scientist. I think it's wrong to compartmentalize Data Science into just one field where in fact everyone who uses Data is still using the science of it. Even excel power users are data scientists!
3rd tip is underrated. that’s even better than having a degree. do projects! additionally learn and master, if you can, data structures and algorithm as these are main focus during a technical interview even on the tech companies in the US like google and meta
correct!
Thanks a lot been looking where to start about data analytics or data science. Hopefully more videos to come. First order of business IKIGAI and Research sa datacamp. Thanks again
Best of luck! :)
New subscriber po.hopefully po soon makagawa kayu ng lesson how to code sql and python,thank u and Godbless
Thanks for this po.
Thank you also ❤️
"Keep coding" "Do projects" yah nice tip, but how? I think you should do a video where we can land a practice job, a data entry atleast. Anyways, great video sir! Thank you 😁
Thank you 👍🏼
Thank you
Sir may inenrolan kaba na bootcamp? Share naman po
Maybe this can help: th-cam.com/video/qiKGdaqalT4/w-d-xo.html
hello po, i have macbook.. do you think kaya po neto ang mga apps na need for python and sql? are they open source?
Yup! Kaya :)
macbooks are the preferred choice for doing anything related to tech. yan yung number 1 ginagamit in the states and others as well. it's an unspoken standard. u are golden in terms sa equipment. all u need are the skills
python is open source. sql is not, because it's a standard. maraming vendors ang sql. pero wala naman siyang relation sa entry. open source or not, doesn't hinder u to learn a tech skill
Sir, just want to ask if you heard about Refocus? is that something you would recommend if we want to learn about data analysis?
I haven't tried Refocus, so I can't give any recommendations on it. Sorry. You can check out reviews siguro from reddit! :)
That is the reason why i am here, searching on youtube about data analyst
Iba po ba yung data scientist vs data analyst? If yes same tips can be applied to both po ba?
This is a good question. Different people might have different answers. Pero here's mine.
I define Data Science as anything that uses data in a technological manner -- whether it's for Analysis, Engineering, Machine Learning, etc. For me, everyone who works and use data is a Data Scientist. Even a Data Analyst is a Data Scientist. Some people defining Data Scientist as those who only use AI and ML. Which for me is wrong. A Data Engineer is still considered a Data Scientist. I think it's wrong to compartmentalize Data Science into just one field where in fact everyone who uses Data is still using the science of it. Even excel power users are data scientists!
So to answer your question -- yes these tips can be applied as long as you are using data to solve problems!
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