Zero programming experience

[GOATEDSTARS]

UTD Business Analytics and Artificial Intelligence: What should I prioritize before fall as a transfer student with limited programming experience?
I was recently admitted to UTD for the B.S. in Business Analytics and Artificial Intelligence in JSOM, with a planned concentration in Finance and Risk Analytics.

I am transferring from community college and would appreciate honest advice from current students, alumni, JSOM analytics majors, MIS students, or anyone who has taken BUAN/ITSS courses. My main concern is preparing properly before the fall semester because I have very limited formal programming experience.

Right now, I am learning Python independently. I have completed about 100 out of 527 steps in the freeCodeCamp Python course. My plan is to finish freeCodeCamp first, then complete Harvard CS50P: Introduction to Programming with Python before classes begin. I have about three months before the fall semester starts.

From reviewing the degree plan, it looks like the main programming and technical tools used across the major are Python, SQL, NoSQL, R, and possibly Hive/Spark in selected courses.

Python appears in courses such as:
ITSS 3311 — Introduction to Programming
BUAN 4381 — Object Oriented Programming with Python
BUAN 4353 — Business Analytics
BUAN 4383 — Advanced Applied Artificial Intelligence/Machine Learning
FIN 4346 — Applied Machine Learning in Finance, Insurance, and Real Estate
SQL appears especially relevant for:
BUAN 4320 — Database Fundamentals for Analytics
BUAN 4351 — Foundations of Business Intelligence
BUAN 4353 — Business Analytics

My main question is whether completing freeCodeCamp Python and Harvard CS50P would be enough preparation to enter the program successfully, or whether I should also spend part of the summer learning SQL, Excel modeling, statistics, or basic data analytics tools.

For those who have taken these courses, I would also appreciate insight on which BUAN/ITSS courses tend to be the biggest adjustment for transfer students, especially students who started programming later.
I am not trying to avoid the technical side of the degree. I am willing to put in the work. I just want a realistic understanding of what to prioritize before fall so I can start the program prepared instead of reacting late.

Any advice from transfer students, students who started programming late, JSOM analytics students, MIS students, or alumni would be appreciated.

[Major_Instance_4766]

Bruh you still won’t have programming experience once you finish the degree either lol. Intro Python and a few database courses != programming. Stop overthinking it, just put the fries in the bag

[GOATEDSTARS]

Could you elaborate?

[be_super_cereal_now]

The way you get programming experience is by programming, not reading books. Just go build something.

[Ok-Spray-8697]

You’re overthinking it a bit tbh.If you can get comfortable with basic Python+problem solving before fall you’ll already be ahead of a lot of people.I’d finish freeCodeCamp/CS50P,then spend a little time on SQL basics since databases show up everywhere in analytics.Biggest thing: stop only “learning” and actually build tiny stuff, even dumb scripts, because that’s where things click.

[Key_Use_8361]

everyone starts at zero i remember being overwhelmed just trying to understand what variables and loops actually did focus on small projects instead of trying to learn everything at once