Overview, Review and Study Tips - Google Data Analytics Professional Certificate (condensed version)

Veröffentlicht am: 20 März 2021
auf dem Kanal: Tina Huang
345,247
11k

Edited TLDR version -
Live session where we'll go over the Google Data Analytics Professional Certificate. I'll give you my thoughts on the certificate (spoiler alert: I think this is such a great program) but I'll go into specifics on why it's such a great program and give you my tips on how to get the most out of this program and set yourself up for success so you don't just give up after a month :P

🔗Affiliates
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Google Data Analytics Certificate:
https://coursera.pxf.io/5bD1vL

My SQL for data science interviews course (10 full interviews):
https://365datascience.com/learn-sql-...

365 Data Science:
https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)

Check out StrataScratch for data science interview prep:
https://stratascratch.com/?via=tina

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Timestamps:

00:00 Agenda
01:07 Certificate Overview
02:42 Course Breakdowns + Reviews
13:28 Capstone project and why you should definitely do it
15:53 Can you really get a job after completion?
18:58 How to stand out
20:46 How to set yourself up for success (especially if you have laziness problems)
30:02 Who benefits the most
31:22 Who is it not for

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Other videos you might be interested in

How to learn data science in 2021:
   • How to learn data science in 2022 (th...  
The resume that got me into FAANG as a data scientist:
   • The data science resume that got me m...  

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Subscribe:    / @tinahuang1  
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Real SQL interview question walkthrough series:
   • Real Data Science SQL Interview Quest...  

Check out StrataScratch for SQL interview prep:
https://stratascratch.com/?via=tina
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About me

Hi, my name is Tina and I'm a data scientist at a FAANG company. I was pre-med studying pharmacology at the University of Toronto until I finally accepted that I would make a terrible doctor. I didn't know what to do with myself so I worked for a year as a research assistant for a bioinformatics lab where I learned how to code and became interested in data science. I then did a masters in computer science (MCIT) at the University of Pennsylvania before ending up at my current job in tech :)

I have accepted that I will forever be a lazy person so have since decided to embrace that. My motto is to always minimize effort and maximize outcome!
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Contact

youtube: youtube comments are by far the best way to get a response from me!
linkedin:   / tinaw-h  
email for business inquiries only: [email protected]

If you're reaching out through linkedin, please leave a youtube comment just letting me know that you reached out :)
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Links marked with * are affiliate links which I may receive a small portion of the sales price at no cost to you. I really appreciate your support in helping improve this channel! :)

#Google #DataAnalytics #DataScience #TinaHuang


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