I talked w/ my boss' boss in a 1-on-1 and she now knows that I was actively looking earlier in the year and that I don't see a future with the company. She's a G tho and she told me to use my current role to pad my resume, even if that means tackling work-related tasks that might end up more beneficial to my resume than the company's bottom line.
Ironically, I am now in a place where I really like my job... or at least my current typical workday. My employer hasn't done anything differently, but I've restructured my typical workday around gaining knowledge via online courses, and/or apply my new skills to real-life problems to be more confident with my next employer. There is a three-headed demand for my time that I am still working on balancing overall. I am juggling the learning of new skills, with completing outstanding tickets (ideally using new skills), and with automating existing reports to free up more time.
A lot of work days, I have to choose whether to use an hour to automate or use an hour to learn. This will continue indefinitely but ideally I can set up a plan to stay on top of things.
Speaking on staying on top of things, with the Advanced SQL Course, it took my 14 hours to completed a course with 7 hours worth of videos. If I keep the same clip, the next two Python courses are 9 hours of video which I estimate will take 18 hours each. Best case scenario, I do an hour a day and finish both courses in a month and a half which takes me to late-August. This lines up with my plan to either quit or begin applying to new jobs after Labor Day.
Lastly, I added a new course to my learning path (see below). I came across a Python course on Data Visualization from an instructor that I really fukk with (His prior course taught me HTML, CSS, and beginner JavaScript). I think this course will really hit me in stride because it fits nicely into my Reporting Analyst role, my desire to be more skilled at Data Viz, and by the time I start the course, it will nourish my newfound Python skills.
Ironically, I am now in a place where I really like my job... or at least my current typical workday. My employer hasn't done anything differently, but I've restructured my typical workday around gaining knowledge via online courses, and/or apply my new skills to real-life problems to be more confident with my next employer. There is a three-headed demand for my time that I am still working on balancing overall. I am juggling the learning of new skills, with completing outstanding tickets (ideally using new skills), and with automating existing reports to free up more time.
A lot of work days, I have to choose whether to use an hour to automate or use an hour to learn. This will continue indefinitely but ideally I can set up a plan to stay on top of things.
Speaking on staying on top of things, with the Advanced SQL Course, it took my 14 hours to completed a course with 7 hours worth of videos. If I keep the same clip, the next two Python courses are 9 hours of video which I estimate will take 18 hours each. Best case scenario, I do an hour a day and finish both courses in a month and a half which takes me to late-August. This lines up with my plan to either quit or begin applying to new jobs after Labor Day.
Lastly, I added a new course to my learning path (see below). I came across a Python course on Data Visualization from an instructor that I really fukk with (His prior course taught me HTML, CSS, and beginner JavaScript). I think this course will really hit me in stride because it fits nicely into my Reporting Analyst role, my desire to be more skilled at Data Viz, and by the time I start the course, it will nourish my newfound Python skills.
Complete Advanced SQL Server Course - Work on automating queries and scheduling recurring jobs within SQL Server Management Studio. There will likely be overlap between this course and course #3, but my guess is that this course is more in-depth potentially.- Completed
- Complete Git Course - [27% completed] This course is so that I know WTF I'm doing when I start publicly documenting my code for prospective employers.
- Complete Mind Mapping Course - [40% Complete] Create structure to learn more efficiently. A more recreational slant to this course but it could improve my learning across the board
- Complete General Python Course - A more fundamental understanding of Python from an instructor I enjoy. Could be redundant though.
- Complete Python Course on Automation - A course introing automation via Python. Should free up more time for studying/over-employment.
- NEW - 2022 Python Data Analysis and Visualization Course - Big fan of Colt Steele and this course is exactly the type of data viz I want to add to my repertoire. I should be more proficient in Python after completing the first two course
Improve my data visualization skills- This will be addressed with the Data Analysis & Viz Course
- Improve my data analysis skills - Will cross this bridge when I get there.
- This might be partially covered by the final Python course but I think I will need additional resources
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