Leao2005

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The R & Tableau were the main areas of interest for me since I'm well-versed in the SQL/Spreadsheets so you definitely saved me going down a pointless path with your review. Repped and appreciate you for sharing @tunes757.

Congrats on the new gig!
thanks bro. nikkas was clowning me on the coli when I said I was making 15 with a bachelors lol. I had to grind up
 

Mashal88

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Google Data Analytic Certification Review

Overview: Good if you have no experience, not prior job knowledge. Not useful as an IT cert. Need further studying for a job

Job opportunities: Close to none. Google states companies are willing to hire post cert. This is a lie, even the Secret job board Google has is relatively poor. The job board does not have a lot of remote opps (I believe less than 20 off top). If you don't care moving, you could prob get a job, however, most opps are in High Living areas however.

Companies in general are not aware of this cert as well, and does not hold real cert weight compared to lets say C++ or COMPTIA++ or even a Tableau Cert
  • To this point, in the data field, projects>certs. And Experience>projects. Make sure do the capstone project
Personally, post cert, I have went from a 15$ data job to just this month of May accepting a job just under 70k. The google cert DID NOT HELP DIRECTLY (you will see many people call it useless) however indirectly, it gave me a lot terminology that I could use on interviews. Please keep in mind when take the cert. And questions, ask me.

Good to know. I somewhat felt that was gonna be the case looking at the board the past few days. Finished the course last week after taking more time than expected. Supplementing studying on DataCamp. Just trying to prepare myself mentally for these opportunities. I find myself more attracted to R but have been brushing up more on SQL lately. I have no experience in the field so applying is daunting right now tbh.
 

Leao2005

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Good to know. I somewhat felt that was gonna be the case looking at the board the past few days. Finished the course last week after taking more time than expected. Supplementing studying on DataCamp. Just trying to prepare myself mentally for these opportunities. I find myself more attracted to R but have been brushing up more on SQL lately. I have no experience in the field so applying is daunting right now tbh.
I would focus on SQL
 

Macallik86

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Answering my own question here:
On a related note, do yall know any resources to show proof of skills to prospective employers? Right now the only thing that comes to mind is going hamburger on the AdventureWorks dataset... Build some reports and answer some data questions and then buy the premium version of Software that allows for shareable links and throw it on a website. I really don't want to deal with all the website bullshyt tbh so let me know if I'm overlooking anything.

It's not primarily used for SQL but I'll connect my SSMS to GitHub ().
 

Macallik86

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Finally started learning the basics of Stored Procedures and wondering what the hell I've been doing for the last +7 years of working with SQL :damn:

I plan on automating as much as possible and using the extra time to study or fukk off and do my own thing without feeling guilty.

One concern I have is that I think I will need to schedule jobs inside SQL in order to fully automate everything and I don't think my department has those permissions, so I might tip my hand or my boss might get looped into the convo :lupe:
 

Macallik86

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About a third through this course and strongly recommend it. Definitely bridging the gap with a lot of SQL techniques that I was not familiar with previously. The one downside is that it gives me too many options to find a solution. I started applying it to my job today and was overwhelmed with the 3-4 different directions I could take a complex query, whereas previously, there was only one convoluted route to get the right answer. Right now I have like five additional tools that are more efficient under the right circumstances but I don't know 100% when that is. Over time I will get better fwiw.

He has another in-depth VBA course I might take since I like how he teaches but it is on a different website that costs more so I'm in no rush
 

null

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About a third through this course and strongly recommend it. Definitely bridging the gap with a lot of SQL techniques that I was not familiar with previously. The one downside is that it gives me too many options to find a solution. I started applying it to my job today and was overwhelmed with the 3-4 different directions I could take a complex query,

can you bullet point / TL;DR that?
 

null

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Finally started learning the basics of Stored Procedures and wondering what the hell I've been doing for the last +7 years of working with SQL :damn:

I plan on automating as much as possible and using the extra time to study or fukk off and do my own thing without feeling guilty.

One concern I have is that I think I will need to schedule jobs inside SQL in order to fully automate everything and I don't think my department has those permissions, so I might tip my hand or my boss might get looped into the convo :lupe:

if you use linux/unix and you have sql client command line connectivity to your target you could just use cron on your local machine.


Use something like sqsh (if possble) to pipeline scripts
 

Macallik86

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can you bullet point / TL;DR that?
The request was to compare a consistent cohort members' data over time (pre-pandemic versus post-pandemic)

Unique MemberIDID for the question answered Most recent result pre-pandemicMost recent result post-pandemic

Typically I'd do an inner join on the same table twice and break things down via the unique criteria.

Based on what I learned, I could've went down the following rabbit holes:
  • Use EXIST( ) in the WHERE clause to limit to members that have both pre/post pandemic records, and then build the query out as normal
  • Create a base table for the first two columns and then use unique correlated queries for the final two columns
  • Using scalar sub-queries I could move my criteria around policy year into the WHERE clause and otherwise build the query out as normal
  • Using LEAD( ) and/or Row_Number( ) I could sort the data and sequentially grab records that match up with the pre/post requirements
  • Using XML & STUFF( ) I could have just exported all results per member into a single, csv-delimited column and then exported to Excel and split it up for based on calendar year
There were some additional complexities to account for around custom client program years among other things, but basically, there are a lot of solutions that are more efficient/easier-to-read than my typical method but I need more practice with all of them to pick a fav
 

Secure Da Bag

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About a third through this course and strongly recommend it. Definitely bridging the gap with a lot of SQL techniques that I was not familiar with previously. The one downside is that it gives me too many options to find a solution. I started applying it to my job today and was overwhelmed with the 3-4 different directions I could take a complex query, whereas previously, there was only one convoluted route to get the right answer. Right now I have like five additional tools that are more efficient under the right circumstances but I don't know 100% when that is. Over time I will get better fwiw.

He has another in-depth VBA course I might take since I like how he teaches but it is on a different website that costs more so I'm in no rush

Just remember temp tables should be the very 1st tool you reach for.


The request was to compare a consistent cohort members' data over time (pre-pandemic versus post-pandemic)

Unique MemberIDID for the question answeredMost recent result pre-pandemicMost recent result post-pandemic

Typically I'd do an inner join on the same table twice and break things down via the unique criteria.

Based on what I learned, I could've went down the following rabbit holes:
  • Use EXIST( ) in the WHERE clause to limit to members that have both pre/post pandemic records, and then build the query out as normal
  • Create a base table for the first two columns and then use unique correlated queries for the final two columns
  • Using scalar sub-queries I could move my criteria around policy year into the WHERE clause and otherwise build the query out as normal
  • Using LEAD( ) and/or Row_Number( ) I could sort the data and sequentially grab records that match up with the pre/post requirements
  • Using XML & STUFF( ) I could have just exported all results per member into a single, csv-delimited column and then exported to Excel and split it up for based on calendar year
There were some additional complexities to account for around custom client program years among other things, but basically, there are a lot of solutions that are more efficient/easier-to-read than my typical method but I need more practice with all of them to pick a fav

You should be able to use temp tables for the 1st 3 bullet points.
 
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