April 16, 2019 at 12:12 pm #4464BellaParticipant
I think some of the most useful programming languages that I have learned are Excel and Python. A lot of companies can use Excel for a multitude of different reasons or projects so being able to at least understand the basics and a few advanced functions/techniques can get you pretty far. In addition, a lot of the courses I am in now and the companies I have talked to stress how beneficial Python is. Python is a great way to start programming and it can also have many uses across an organization.April 19, 2019 at 9:51 am #4480Ben RazidloParticipant
It depends on career field, but learning any of them makes learning the next thing that much easier. People who will be doing R&D should be getting familiar with Python.
I’m old enough now where each new “must learn” language is getting wearisome, but this is one.April 23, 2019 at 10:20 am #4548Alec BernsteinParticipant
I wish I had learned more Python and R at UW. As an IE I took CS 301, which was taught in Python, and CS 310(MATLAB and Maple). Instead of 310, I would have liked to take a more intermediate Python course to build upon the introduction skills taught in 301. I think had I taken one more course, I would have been able to use Python for my internship as well as later in my career.May 1, 2019 at 9:12 pm #4775Zachary YonishParticipant
I think Excel has been one of the most useful programs I’ve used and I wish I learned more of the advanced functions in college. I have also found SPSS and other statistical software such as Tableau very useful in analyzing qualitative and quantitative data.May 2, 2019 at 1:38 pm #4794Stephen BosakParticipant
I have found that through my jobs and work in the data science community that python has been the best language to learn and use. I worked at IBM for two years creating data models to predict and prescribe business issues and python is by far the most well known and widely used language. I started by learning Java my sophomore year at UW but haven’t used it since.Python has a plethora of resources for you to use for any application and it is very easy to learn. Also python is very easy to connect to databases and other things you might have to do in data science or analytics.May 3, 2019 at 11:19 am #4829Ethan YoungParticipant
I am an IE and CS major, so I am quite enamored with using programming languages for Industrial Engineering problems. During a manufacturing internship, I mainly used Python to do data-processing and simulation for my projects. Although Python takes longer to learn, I think it is more powerful than using Excel. Excel restricts you to use the table interface constraints, while Python lets you do virtually anything you want to do. Additionally, Python allows you to make generic scripts to automate away many tedious tasks, freeing up your time to do other things. The one downside of python is that quick visualizations are more difficult to do because it requires reading in the data and processing it, while excel lets you do so with a few clicks of the mouse. Overall, I would recommend adding Python to your toolkit.May 3, 2019 at 12:38 pm #4840Joshua FernandezParticipant
As a Economics and Industrial Engineer double major I have found that the most useful langue I have learned is python. I have also used STATA for my econometric class and I found it highly intuitive and easy readable. STATA is a statistical software package that makes is really easy to run regression. As for python I think learning python helped me gain knowledge about how cs languages work in general and helped me understand what is going on within programs. Also if need be I can code something up that is relatively simple with ease.December 10, 2019 at 1:01 pm #6934AjayParticipant
From my experience, the programs I have used the most on the job is Microsoft Excel. However, in interviews I have been able to take a lot about my experience with R. Many engineering companies are moving toward using R for statistical analysis so it is an important language to know.December 10, 2019 at 9:34 pm #6982Alexander HallquistParticipant
Excel, Python, and R are the Trio today with Tableau starting to make a rise. Excel because everyone knows how to use it and it’s easy for people to collaborate on. Python and R for bigger datasets and included packages that allow for more complex operations and models.
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