6.16) Stata vs Python

[@tellmesomethingsweet434]

I didn't know that Stata used to be the dominant software. When I completed my masters and applied for jobs, ALL of the positions in finance required Python (or SAS / Tableau) knowledge. That's why I was very excited to know that we got to learn Python for this class. Also, I love the fact that Python is free!

[@causaldeeplearning4738]

Stata is still the dominant statistical package in the Econ department. It was never dominant in the private sector. SAS used to be the King. Then R, and now it is Python!! Tableau is the dominant software for business analytics. I taught Tableau in ECO 5100 - Introductory Statistics: kzbin.info/aero/PLjGOAHAfqvl0tf9SBAGelxwFFNWqDwvQP

[@kayleighjames1284]

As someone with a Computer Engineering and Data Science background, I am very happy we'll be using Python over Stata! One of the many reasons Python is my preferred programming language is all of the resources available online for it. The Python community is great at answering any questions you have while troubleshooting.

[@causaldeeplearning4738]

In the past, all my students from technical background or experience in the private sector asked me to use Python rather than Stata. In my first year, I taught Stata, but then I decided to move to Python because of Machine Learning.

[@yahiaabdelbar]

Can you please recommend a Stata training platform? Apparently, it is a lot across business and finance research and I need to develop my skills on it

[@causaldeeplearning4738]

As far as I know there is no platform like DataCamp and Dataquest for Stata. In the Stata website, you can see many learning resources: www.stata.com/learn/

[@fayezsalame7134]

During my Masters, I remember working using Stata. It was the dominant program to use and although it was helpful and useful, it doesn't compare to Phython. This includes the fact that it is free. I remember having to come to the Computer Lab on Campus every time I wanted to use it. Learning about Phython was also very relaxing and fun as well.

[@causaldeeplearning4738]

I forgot to mention in this video, but the main advantage of Python is the job market. Pretty much all data science positions assume primarily Python and secondarily R. Stata is very restricted to the academic sector (Econ, Health, etc). The industry clearly moved to open-source software. It is convenient for Profs to teach Stata, but it is not very helpful to get a job.

[@federicopena8327]

What do you think about Julia Programming?

[@causaldeeplearning4738]

I thought to teach Julia. The main advantage is that Julia is much faster than Python. However, Julia is not diffused as Python. Outside of academic and scientific computation, nobody uses Julia. If you know Python, it is not a big deal to learn Julia, as the syntax of both languages is very similar. I wish Julia could replace C++ and Java, but I don't think it will help.