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Who is here because of Google analytics course 6 ,week1❤️✌️

@amrghabbour1207

2 жыл бұрын

me

@Zaid_Mir

2 жыл бұрын

@@amrghabbour1207 me

@shaanukohli917

2 жыл бұрын

me too🙋‍♀

@Arqade8

2 жыл бұрын

mee 😀

@brendamg7298

2 жыл бұрын

🙋‍♀

Here because of Google Certificate Course 6 Week 1! If you are currently enrolled in this course as well let's keep going! We are almost there we can see the finish line in the distance! You got this!

@vedantagrawal3292

10 ай бұрын

Telling myself over and over thee same thing

@davidwangonjo2041

4 ай бұрын

We are almost there

@UchechukwuAnyika

Ай бұрын

looking at the date for your post, you must be done with the course. Congratulations! But I want to know, how has the field been for you? Any tip for learners like myself? Hoping to hear from you soon.

@majaziz

11 күн бұрын

hi , I am from google data analytics as well, almost there. How did the certificate help you?

Yeah! I'm here because of Module 6 of the Google Analytics Course and because this is the part of the course I'm most interested in learning more about: Data Visualization!

@Moiez101

Жыл бұрын

same here! I'm enjoying this part of the whole course the most; course 5 was definitely the toughest so far.

@RosaK37

Жыл бұрын

@@Moiez101 yes, it was. Now, I’m happy with the module 6 and I believe module 7 will be cool, as well. But the capstone will need to wait. I will have to learn SQL aside because this course skipped “intermediate level”. It jumped from beginner to advanced 🥴😣

@7Earthsky

Жыл бұрын

@@RosaK37 SQL in the google analytics course was pure ass....Especially in Course 5....Definitely learn it elsewhere.

@TheSilentdarkmuse

9 ай бұрын

@@7Earthsky why learn it elsewhere? the way we are complaining it as complex is infact basic practices, you can't win a job or perform a major analysis limiting with basic practices, needs a lot of practice that way we can actually do something better.

Data = a set of information. Examples: corporate revenue, book sales, books that exist, Dimension = ways to parse the data. Examples: by year, by company name, by rating - by genre, by author, Measure = numerical quantification of a dimension. Examples: Must be numeric. Can be a sum, average, count, A Bar Chart is an absolute measure of attributes of a dimension of data, an absolute comparison. -Annual comparisons are common examples of bar charts. Best with only one dimension of data. -When displaying two dimensions of data, a bar chart showing more than two attributes of the second dimension, looks cluttered. Example: Book sales data, by two dimensions 1) year (5 years, so five attributes in the dimension, 2006, 2007, 2008, 2009, 2010) and 2) genre (which the dimension has 5 attributes, YA, Classic, Sci/Fantasy, Mystery, Romance) Limiting either dimension to 2 attributes would declutter the graph. A PI Chart is a relative measure of attributes of a dimension of data, as a whole, as a percentage, as a relative comparison. Without an absolute reference. (As a concept?) PI chart never involve time, the linear absolute. Donut Chart - Same as a PI Chart Line Chart - similar to bar charts but better with more dimensions of data. Also Stacked Line Chart. Or 100% line chart Area Charts - (bad) basic, stacked, and 100% stacked. Needs more than one dimension. Without multiple years, it is bad. Good for two dimensions. Data is information about a concept; objects and measures are both concepts. A dimension identifies the essence of a concept. Nominal data (named or concept based information). Whole set. Ordinal data (so info does have ordering and potential names, but the interval of value between the ordered information is not defined - very satisfied, satisfied, unsatisfied, active mad about the customer service and will complain forever to everyone). First subset. Interval data = Numerical data. Another embedded subset.

Here for the 6th course in Google analytics. It's been a smooth ride so far.. Thank you for this informative video 🚀💯

@watsonosunde9839

5 ай бұрын

yea..Same here

Yeap, another Google Data Analytics learner here :D Thanks for a great video!

Sometimes the most simple explanations are the best ones. Great work!

Google Data Analytics course sent me here!

@ehimareokosun384

3 жыл бұрын

Google Data Studio sent me here!

Great presentation and clean slides. THANKS!

Properly explained and the relevant examples made the concepts of different types of charts absolutely clear. Thanks for the informative presentation.

Im here because of course 6 in google data analytics. Great job!

Thank you, very good presentation

Terrific. Thank you. 💝

Thank you for such easy understanding overview.

@365DataScience

5 жыл бұрын

So happy you found this video helpful! :) Best. 365 Data Science Team

Very captivating!

Google D.A Course 6 Wk 1, 2023 🎉🎉.. Lets keep going guys, it definitely worth it!!

Google Data Analytics Professional Certificate brought me here :D

Thanks for teaching

Thank you so much! I have been trying to find this kind of video for days now 😊

@rajarammeena448

3 жыл бұрын

Same here

Google data analytics sent me here!

Very Insightful...also here because of course 6 work in Data Analytics course

I liked the video, but I think you should have shown us a line chart for the fiction book data, as you stated that it would be better suited than the bar chart. Showing this improved viz would have helped my understanding, instead of just telling me.

Simply brilliant - have subscribed and will watch the other videos. May I suggest you have a cheat sheet to remind us of the types of charts to use.

saved my life on simple homework 10/10

thank you sir, from future

Here for the six course of google analytics - Quite informative for data anlytics

I'm here because of Google Data Analytics 6th course for this informative video. We move 🚀🚀.

If the fiction book bar chart is not a good fit, what would be a good chart? Line?

what is the best alternative chart to bar chart in representing fiction book sale example. please help urgent! Thankyou.

I am here after the suggested learning in Course 6 (Share data through the art of Visualization) of Google's Data Analytics professional certificate. Can someone suggest additional learning resources for the practice of SQL in various Databases other than BigQuery? SQL seems inadequate in this course except for the theoretical knowledge. Please suggest.

so a 100% stacled area chart basicly multiple pie charts over a duration of time?

I am also here because of Google analytics Course N°6.

You introduce Pie charts with a 20 20 10 15 30 chart? 95%?

Look at this graph. -Nickelback

@johnnybecrafting9286

4 жыл бұрын

how did our eyes get so red

but the video is good

👍

❤️✌️

would have been better if you have shown also an improvement on bad examples.

wish this would have addressed how to handle charts with 10+ variables like they showed in the 'charts to avoid' section kzread.info/dash/bejne/dWRrzZKepaXWops.html

How many of you got job offer after completion of google analytics course?

Like if you’re studying Google Data Analytics!

Yes google sent me here.

the bar chart which you are saying is not crystal clear it is not that hard to understand it

Who’s watching this form Yodas?

@nathaniango524

4 жыл бұрын

Gamer129 Uoo, yoda as in mrs Hensleys class?

@grinderdev

4 жыл бұрын

Nathania Ngo yep

@grinderdev

4 жыл бұрын

I’m J btw

@grinderdev

4 жыл бұрын

Or I should say someone starting with J

@nathaniango524

4 жыл бұрын

Gamer129 Uoo jerry? Idk

Perhaps the transcript would be good. This is slow and repetitive.

you could have introduced better video, too much talks without real or series explanation!!!!