The University of Texas at Austin McCombs School of Business

Pros
- Flexible schedule for online sessions.
- Great examples are provided and are easy to follow.
Cons
- I think it is a lot of material to cover in such a short timeframe.
- It would have been great to have students try to develop the algorithms on their... Read More own, before using predefined libraries. This would help in the undertanding of the algorithms internals.

Suggestion
- In my opinion, certain sections of Ensemble Tuning (which talks about Hyperparameter tuning) should be discusses at the beginning of the course.

Pro’s: I’ve had a great learning experience! I initially struggled and did not have the confidence that I could successfully complete my projects. I soon found out how valuable the mentoring piece of the program was when Joseph stepped in to help me get... Read More over my doubts. I was thankful for his encouragement. After my meeting with him, I discovered that I could actually connect my learning with producing meaningful content in my projects and I soon found out that all my doubt went away. My learning increased and I was fully engaged in the process. The videos were valuable and the in person mentored sessions were very helpful in gathering a better understanding of the material.
Con’s: Not many! I would say that I wish there were more time to absorb the content and really dive into each topic. Having a busy schedule and personal challenges made it difficult to do this.

The course has quality video instruction from exceptional instructors. The coursework is also very challenging and requires a time commitment and a level of self-reliance that I was not sure I could do after the first few weeks, especially while also... Read More working full-time. My advisor, Joseph, was very kind and encouraging and helped me early on to frame my struggle as part of the journey, which is what I needed to hear. I am not only doing well and learning a lot, I also have become more focused and disciplined about difficult tasks which has spilled over to my approach at work.

This course is a very good introductory course, but continued practice will be required because you are introduced to new concepts and exercises each week that you don't have enough time to put in to practice before the next concepts are introduced. This course will give you a realistic view of data science and practice using Python. Curriculum can sometimes seem disconnected from video to project to live sessions, but overall the course will provide a solid basic understanding of data science and business analytics.

I selected this online program due to the university's strong ranking, reputation, and comprehensive curriculum. What truly stands out is the exceptional support system, including live program management and weekly mentoring sessions. My mentor, Paolo,... Read More has been invaluable in guiding me through projects, and my Project Manager, Kanchan has consistently provided encouragement and timely technical support and any other assistance I may need. This level of assistance exceeds my expectations for an online course. Additionally, the inclusion of an AI mentor specific for each project is a great feature.

The program is rigorous and fast-paced, but it is packed with valuable information. While challenging, the intensity adds to its worth. I prefer the accelerated pace, which allows me to review content as needed rather than extending the program’s duration. Despite the challenges, I have found the experience rewarding and enjoyable, and I have no regrets about enrolling. I am confident that it will prove invaluable in my future endeavors.

I am attending the UT data science program ! I found it challenging but incredibly rewarding. The instructors were knowledgeable, and the hands-on projects helped solidify my skills. This program has gave me tools to advance in my data science career.... Read More Highly recommended.

I started this course just to learn computer programming and ended up receiving a great breath of knowledge in Data Science as well!
The layout of the program is great to fit your schedule especially if you are fully employed. The support team is very... Read More helpful in any issues you may experience as everyone runs into issues while programming regardless of experience.
Tying in Data Science makes it very helpful as well.
Overall great experience and highly recommended for a novice or someone looking to tune up their skills.

It has been a great experience so far. Sometimes the course pace is too fast but it is great because you never stop learning. There is a great support team that will guide you through. The classes are recorded and live but you learn different thing in... Read More each. Such a great course!

As a working mom of two small kids looking for a new job and wanting to enhance my current skillset but not go through a full MBA, this course was the perfect choice! It focused on I specifically wanted to learn, business analytics, and where I wanted... Read More to grow and how it could easily translate into the real world.
I was so pleased to find this program and proudly can say after 8 month, I have completed it with all A’s. It’s demanding both time wise and mentally but it was very interesting to learn, and worth all the late evenings and weekend classes. The instructor, program manager, and classmates were all very invested in the understanding and success of the program. It has enabled me to find a new job using my new analytic skills and I would highly recommend it to anyone looking to dive deeper into the world of data!

It is a highly recommended experience for people who has a little time, the coachs are very willing to help, they use to respond quickly and apologize if something didn´t go well. The material (videos, lectures) are prepared carefully and the teachers... Read More are top.

My work schedule is extremely tight, but I somehow still manage to squeeze in the modules and the live classes. So the “con”would be my own crazy schedule, and the best “pro” are the great instructors, coordinators, and overall learning materials. I feel... Read More that I will be coming out of this course with a more authoritative sense of my future in data science.