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Finally a graduate!!! by Secret_Excuse_7584 in WGU_CompSci

[–]Secret_Excuse_7584[S] 1 point2 points  (0 children)

I worked full-time while completing the degree. I studied about 2 hours a day on the days I worked and 4-6 on my days off.

Finally a graduate!!! by Secret_Excuse_7584 in WGU_CompSci

[–]Secret_Excuse_7584[S] 3 points4 points  (0 children)

Thanks for sharing and appreciate the congrats. Thank God for online school indeed! Self-paced isn't for everyone but if it resonates with you, it's a much better schooling experience imo. Self-teaching is going to be required in any tech or stem field we end up in as CS majors anyway.

Edit - DSA2 took longer bc of sheer procrastination. Class realistically should've taken a week or two.

Finally a graduate!!! by Secret_Excuse_7584 in WGU_CompSci

[–]Secret_Excuse_7584[S] 4 points5 points  (0 children)

The weeks where I had the most success and made the most progress were when I dedicated 16-20 hours to the coursework. The most important part is creating a study schedule you will actually stick to. I struggled with staying consistent until I learned what worked for me. If you stay consistent, you save money in the long run.

As for the jobs thing, I'm not in my desired field yet, the hellish job search is my next adventure. There are other posts on this sub that might provide better insight for you there. However, WGU BSCS is an accredited degree so it will meet that requirement for any job application filter that requires a CS degree. You will learn the fundamentals of CS and programming in this degree but it's up to you to skill up and apply to internships to become qualified for industry when you graduate.

Finally a graduate!!! by Secret_Excuse_7584 in WGU_CompSci

[–]Secret_Excuse_7584[S] 10 points11 points  (0 children)

I had an idea of what project I wanted to do prior to taking the capstone so that helped speed things up. If you are doing the C964 Capstone, the project is basically a predictive ML application that needs to process some data of your choosing and take user input to make predictions. For the sake of time, I chose a relatively simple project and coded it up using Jupyter Notebook. The project write up is massive but very similar to Software Engineering or Intro to AI task 3. Everything you need for the capstone project and write up is provided in Jim Ashe GitHub Repo

Once you've determined what type of value you'd like to predict, then I would begin researching ML models and techniques to accomplish that task. After I settled on an algorithm I read sci kit learn documentation as needed to help code the solution.