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re: Any OTers working in Data Analytics?
Posted on 6/12/22 at 3:02 pm to Pedro
Posted on 6/12/22 at 3:02 pm to Pedro
Yes, I manage our BI/Analytics practice. Like others have said, you can either go the data scientist route and learn Python, R, and SQL, or go more BI Architect and study SQL, DAX, and learn data modeling/best practices/BI software suites.
It can be a lot of fun and is an ever-growing need for every company in every industry.
It can be a lot of fun and is an ever-growing need for every company in every industry.
This post was edited on 6/12/22 at 3:04 pm
1
Posted on 6/12/22 at 3:02 pm to bubbaprohn
quote:
I work in Business Intelligence for my company (support the BI platforms all our companies use). If you want to get into Data Analytics (and make good money) there are two paths you can take. Data Science or Data Engineering. Data science is front end data analysis (use the data available to build dashboards/reports for your consumers). A field that is growing and there is a big need for this. Data engineering is the back end side of data analytics: building data warehouses, data workflows, etc. to help get the data into the hands of the data scientists so-to-speak. Really depends on what you would prefer, both career paths are pretty lucrative. Let me know if you have any other questions!
Could you shoot me an email? ssmithysmith18@gmail.com
Posted on 6/12/22 at 3:04 pm to Sev09
So as of right now I’m learning python and planning on doing a 6 month data analytics certificate program. Would that be enough to get me in with my other background? I’m more inclined to lean to the data science side of things.
Posted on 6/12/22 at 3:07 pm to Mr Personality
quote:nah I’m too laid back to piss anyone off that much. It’s just the general apathy from students that’s getting to me. I liked teaching because of the interactions and getting to connect with the kids. Since Covid trying to get any interaction at all that’s not centered on fricking TikTok is like pulling teeth.
Any students ever tried to check your knuckles?
Plus economically I feel like I have a big enough skill set/personality to build on that I should be making more than what I am right now.
Posted on 6/12/22 at 3:16 pm to Pedro
Data Anlysis comes in many forms. I work for a big landscape company and I'm a data analyst. Lots of decisions are made from the data I study/present.
Posted on 6/12/22 at 3:35 pm to Pedro
just do a few analytics certs on coursera. if you have a math undergrad, even education, you'll be fine. google and ibm are good places to start. one in python, one in r.
Posted on 6/12/22 at 3:36 pm to Irish Knuckles
We’ll I don’t necessarily have a math degree but tBoat can attest the degree I do have comes with a butt ton of it.
Posted on 6/12/22 at 3:40 pm to Pedro
300/400 lvl probability and a 300/400 lvl stats class are more than enough for an entry level gig. either will probably do. you just need to be able to do it. if you have the prereqs, georgia tech has an outstanding stats/data science/analytics degree online for 10k. no career support, but everyone i know that's done it has a good job. you'll start out around 6 figures with that degree. entry level analytics won't pay you much more than a teacher.
Posted on 6/12/22 at 3:45 pm to Pedro
quote:
I’m more inclined to lean to the data science side of things.
smart move.
Posted on 6/12/22 at 4:11 pm to bubbaprohn
quote:
I work in Business Intelligence for my company (support the BI platforms all our companies use). If you want to get into Data Analytics (and make good money) there are two paths you can take. Data Science or Data Engineering. Data science is front end data analysis (use the data available to build dashboards/reports for your consumers). A field that is growing and there is a big need for this. Data engineering is the back end side of data analytics: building data warehouses, data workflows, etc. to help get the data into the hands of the data scientists so-to-speak.
Similarly to bubbaprohn, I work in consulting primarily helping our clients with BI and Data Warehousing (Engineering). It can be pretty tough work at times but if you have a passion for numbers, coding, modeling, etc. then you will fit right in. Very stable career path and it will only grow with the increase in technology.
Posted on 6/12/22 at 5:08 pm to ElRoos
So what I’m gathering is just having some upper level math background and coding background (python or Java) should be enough to at least get me into the field? From there something like a data science masters at GT would be what I would want to really make good money?
From what I’m seeing from open jobs around here (Wichita, Ks.) just a normal data analysis job would get me enough of a bump to make me comfortable for now and buy me some time to get the masters in data sciences.
From what I’m seeing from open jobs around here (Wichita, Ks.) just a normal data analysis job would get me enough of a bump to make me comfortable for now and buy me some time to get the masters in data sciences.
Posted on 6/12/22 at 5:16 pm to Pedro
Teachers knew everything, you should have seen this coming.
Posted on 6/12/22 at 5:22 pm to momentoftruth87
Yea never been one to think that 
Posted on 6/12/22 at 5:30 pm to bubbaprohn
quote:
I work in Business Intelligence for my company (support the BI platforms all our companies use). If you want to get into Data Analytics (and make good money) there are two paths you can take. Data Science or Data Engineering. Data science is front end data analysis (use the data available to build dashboards/reports for your consumers). A field that is growing and there is a big need for this. Data engineering is the back end side of data analytics: building data warehouses, data workflows, etc. to help get the data into the hands of the data scientists so-to-speak.
Really depends on what you would prefer, both career paths are pretty lucrative. Let me know if you have any other questions!
What he said, and I would add...
Data Analytics/Science is in demand and is actually easier than engineering/development.
It's a blend of Data Analyst/Programmer.
Need to know enough SQL, SAS to roll up data and perform analysis (and often involves creating dashboards so that management can easily view and understand the data).
Learn SQL (SQL Server and/or Oracle) to start, then SAS.
Posted on 6/12/22 at 5:42 pm to viv1d
quote:This !!
Lots of decisions are made from the data I study/present.
I'm in the Data Analytics field and a lot of the Data used in Our Reports/Dashboards help our organization determine budgets, staffing and future projects. In these challenging times Companies/Organizations are looking to get the best bang for their buck and looking to make the right decisions based on what we give them. Data Analytics is the Future. If you are experienced and can turnover reports/dashboards quickly then you are a Hot commodity these days.
Just Some Recommendations for Learning as stated above:
1)SQL, ORACLE -Database side
2)SAS,SSIS,TABLEU, POWER BI,SAP and Excel -Software Side
This post was edited on 6/12/22 at 5:52 pm
Posted on 6/12/22 at 6:53 pm to FLObserver
quote:what are some good tools to learn those?
1)SQL, ORACLE -Database side 2)SAS,SSIS,TABLEU, POWER BI,SAP and Excel -Software Side
Posted on 6/12/22 at 6:58 pm to Pedro
Hey I emailed you.
Also:
udemy.com is the website I use. They have a lot of Data Analytics courses on there. I am working through a Python course right now. Pretty cheap for the content you get and you can go at your own pace.
Also:
quote:
what are some good tools to learn those?
udemy.com is the website I use. They have a lot of Data Analytics courses on there. I am working through a Python course right now. Pretty cheap for the content you get and you can go at your own pace.
Posted on 6/12/22 at 6:59 pm to Pedro
quote:
bubbaprohn
Yes perfect recommendation
Udemy has tons of Classes cheap and some free.
This post was edited on 6/12/22 at 7:03 pm
Posted on 6/12/22 at 7:08 pm to Pedro
Udemy or coursera.
I work as a data engineer and it is more difficult than data science. At the end of the day data scientist are report builders. You won't get to work on interesting things until you get some experience and will deal with lots of bad data.
I would recommend learning whatever flavor of sql, Tableau, and anaconda. Also become familiar with a cloud based stack (AWS, Google, azure - ordered best to worst)
I work as a data engineer and it is more difficult than data science. At the end of the day data scientist are report builders. You won't get to work on interesting things until you get some experience and will deal with lots of bad data.
I would recommend learning whatever flavor of sql, Tableau, and anaconda. Also become familiar with a cloud based stack (AWS, Google, azure - ordered best to worst)
Posted on 6/12/22 at 7:10 pm to gaetti15
quote:
pick a programming language and run with it. typically python or c++.
You don’t need front end programming. Learn sql (ms sql server) and pl/sql (oracle). You can go anywhere with those
This post was edited on 6/12/22 at 7:13 pm
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