Question 36 is missing. Question 44 is cut off. Some of these answers are cutoff actually. I am typing them all out in a word document. Do you happen to have these questions already typed out in a document? My interview is in two days! YAY! Crossing fingers. It reminded me what concepts I need to brush up on. hehe ^_^
Both fields emphasize the importance of data visualization techniques. GIS incorporates spatial analysis techniques to analyze geographic patterns, relationships, and trends within datasets. Data analytics similarly employs statistical and analytical methods to identify patterns, correlations, and insights within datasets, albeit in a non-geographic context.
@@gisdevops7665 are you simply focusing on VISUALIZATION? I think I will learn GIS first. Then DATA ANALYTICS. My understanding is that GIS is DATA heavy. So learning it before learning DATA ANALYTICS. Will help with DATA ANALYTICS. Do you agree?
@@ifoodieTV Your strategy to learn GIS before data analytics is sound. GIS is inherently data-heavy and requires robust data management and analytical skills, which will lay a solid foundation for your subsequent learning in data analytics. This progression allows you to build a comprehensive skill set that includes spatial thinking, complex data handling, and advanced visualization techniques, all of which are highly transferable and beneficial in the field of data analytics.
Question 36 is missing. Question 44 is cut off. Some of these answers are cutoff actually. I am typing them all out in a word document. Do you happen to have these questions already typed out in a document? My interview is in two days! YAY! Crossing fingers. It reminded me what concepts I need to brush up on. hehe ^_^
@@mily178 I will look into it and also if I find the document in my folder I will share it with you.
please take a look and Best of luck with the interview.
bit.ly/4exNIsC
Can you answer this question 🙋 please.
what are the similarities between data analytics and gis?
Both fields emphasize the importance of data visualization techniques.
GIS incorporates spatial analysis techniques to analyze geographic patterns, relationships, and trends within datasets. Data analytics similarly employs statistical and analytical methods to identify patterns, correlations, and insights within datasets, albeit in a non-geographic context.
@@gisdevops7665 I mean in general. Not just the VISUALIZATION part.
Unless you mean. That is the core similarly?
@@gisdevops7665 are you simply focusing on VISUALIZATION?
I think I will learn GIS first. Then DATA ANALYTICS. My understanding is that GIS is DATA heavy. So learning it before learning DATA ANALYTICS. Will help with DATA ANALYTICS. Do you agree?
@@ifoodieTV Your strategy to learn GIS before data analytics is sound. GIS is inherently data-heavy and requires robust data management and analytical skills, which will lay a solid foundation for your subsequent learning in data analytics. This progression allows you to build a comprehensive skill set that includes spatial thinking, complex data handling, and advanced visualization techniques, all of which are highly transferable and beneficial in the field of data analytics.
@@gisdevops7665 thanks 😊 I thought so
11:13 Why is the car during a burnout in a crosswalk
@@austinobambino1360 to show you can see the location of the moving vehicles
Music is very distractive
Noted.
What's with all the guns?
@@austinobambino1360 to locat your arms. Lol
The music messedup your efforts in this video. Itsz a tunoff sorry
i will keep that in mind for next time.
P R O M O S M ✨