i've just started studying data analysis for a week, and have just finished studying excel. Now it's the MYSQL turn. Thanks for your video, it's helpful. I'm looking forward to, if you have time can you talk about something like how self taught data analysts find projects to complete their portfolios? I really appreciate it.
Hi Josh, I have watched several videos along this line but I must say that this is one of the most realistic I have seen, especially from a recruiter perspective. Thank you for this!
@@IgnacioFlores. Yeah but take it as an introduction or starting point. You will need to dive deeper on your own. They provide a lot of resources to help you though. Personally i think the IBM data analytics course is a good follow-up. It is more technical and also explores Python deeply which Google doesn't do.
Very informative! Helpful tips. I almost did not watch it because of your chosen expression in your video thumbnail 😂 hahaha! Good thing I went past that. 😅
I just found your channel yesterday and really love all your videos Nice videos Also a new subscriber I've been postponing how to start my data analytics path and you've truly motivated me Thanks a lot I really appreciate
I currently reside in the UAE and I believe you are also located in Dubai. As a hiring manager, in your opinion, do you consider a nanodegree to be valuable in the job market and sufficient for securing employment?
Hey Josh, great video and insight. As someone who has intermediate skills in SQL and Tableau where do you see the value in learning something like Python Pandas and Numpy? I am stuck in a decision on trying to become a master just at SQL and Tableau (prob need to learn BI) or expanding on my technical skills to learn some Python (I have no coding experience). Thanks for your thoughts.
Hello - there will never be a drawback to learning additional skills - it really depends what sort of work you want to be doing (and what sort of work is available to you). If you want to contribute more as a data analyst, then SQL and data viz tools like Tableau will be your daily tools, and depending on the organization you work for, there may be use cases where knowing some Python is a benefit. If you wanted to work on more data science projects, then Python is a must-have skill
Whys the option either or? Python I would say is more universally accepted. If you must learn one then Python. Although once you know Python for analysis, learning R is quick so might aswell add that too
It is a business practise. There isn't so much to learn that schools and universities offer it as a course, but any professional development place will have it. Things like Udemy will have some courses to take. There are also some good books. If you learn the ADKAR model, that is enough to know if you're in a data field and want to influence people. No need for full certificate or qualification in the practise
There isn't a different in terms of what they do. Data analytics is the noun and data analysis is the verb. For beginners, the Google data analytics course is good. A free resource that teaches you a lot and takes you to a good point
