The University of Texas at Austin McCombs School of Business

I learned plenty of new skills to take back to my job, and appreciate most of the professors. I learned best from Dr. Dan and Dr. Kumar, but the other professors required more self teaching on my end because I couldn't understand them as well. I also... Read More would've preferred some on campus opportunities because the biggest thing it was missing was a networking component.

This was a very great heart warming experience for me. I am very honored to have taken this course and to continue my career in tech, as I grew my skills taking courses in data science & business analytics. I am excited to use all the knowledge and skills... Read More that I’ve gained to use this for my next position and would encourage anybody who is thinking about switching careers, to take this course. It’s very beneficial, and a lot of helpful information that will help succeed in the workplace. I couldn’t thank my mentor enough for all of the support, and care that was given to me.

The program is convenient, fast paced and effective. The projects were very challenging and educational. I enjoyed learning about the inner workings of AI/ML and all of the concepts. The learning material is current. The mentor learning sessions were... Read More key to me understanding the material. And I felt supported by my program managers.

Having recently completed the Data Science and Business Analytics postgraduate degree from the University of Texas through GreatLearning, I wanted to share my unfiltered thoughts on the experience. The program does a commendable job of delving into what... Read More it takes to be a Data Scientist in the professional live. The mix of videos, assessments, live sessions, and hands-on projects gives students a solid understanding of the concepts and their real-world applications through tangible examples. One notable aspect is the program's emphasis on practicality. The incorporation of real-world examples and projects provides a bridge between theory and application, enhancing the overall learning journey. GreatLearning employs a variety of teaching methods, including videos, assessments, live sessions, and project work. This diversity caters to different learning preferences, ensuring that students can engage with the material in ways that resonate with them. On the flip side, the program's six-month duration might feel a bit ambitious considering the vast array of topics it covers. While it does well in providing a broad overview, some students might find themselves wishing for a bit more depth in certain areas. Another point worth noting is that the program introduces a multitude of topics, leaving it up to the individual to decide where to specialize. While this approach offers a broad understanding of each subject, students need to take the initiative to explore specific areas further. In a nutshell, the program is a solid choice for those seeking a thorough grasp of data science concepts. The blend of teaching methods and practical applications provides a holistic learning experience. However, the relatively short duration and the need for self-directed specialization are aspects to consider. Despite this, it's a worthwhile investment for anyone looking to kickstart or advance their career in data science.

For the program Artificial Intelligence and Machine Learning program at the University of Texas at Austin, I have the following feedback: Pros: - The program is very well organized - The teachers are excellent - I had two project managers, and both of... Read More them resolved the issues quickly and efficiently - The recording of the classes helps a lot when you do not have time to attend. Also, after the course ends, they give you access to the recordings for some time - The platform, Olympus, where you receive materials, exams, etc., works very well. - The content of the classes is up-to-date even when the topics change constantly. - The price of the course is very reasonable. Cons: - You need to plan to spend at least 15 hours per week besides the session to obtain good grades I am very grateful to this school for accepting me and for all the support. Regards

I had a fantastic learning experience with the course. It was highly beneficial for me! The hands-on projects at the end of each segment were particularly valuable in grasping practical use cases. My mentor was exceptionally helpful, providing extensive... Read More examples beyond the course content.

Overall, this is a great program. The video classes are excellent, the length is appropriate, and quizzes after sections are a perfect way to check comprehension of the material. The program managers have been a great help; Joseph Jose and Aparna were... Read More there for me to guide me through the program. My mentor, Mr. Kausthab Dutta Phukan, was prepared, informative, and professional. His sessions always made me feel like I could handle the projects. He brought some real-world experiences to help convey the strategies discussed. Overall, I would recommend this program, especially if you do not have a demanding full-time career. Those with some background in this field seemed to have an easier time with the program than someone like myself with limited experience. Still, I learned a lot, and some of these tools I have already started putting to use at my workplace. I am not ready to join this workforce yet, but with some practice, I can get there. I believe that if you can focus and practice the tools in this course, you can transition to a career in data science from this program.

I super enjoyed the program overall! Great learning materials with awesome weekly mentor support for the entire class. I enjoyed learning and collaborating with my fellow classmates too! The concepts and lessons discussed are backed up by relevant projects... Read More and deep dives which makes the overall experience meaningful and grounded on reality.

I’m David De Benedictis, retired Sr. Risk Analyst for Chevron. I am currently doing business and exploring opportunities in a limited range of areas. I am researching how AI can lead, make decisions, and how it uses data to make predictions without human... Read More intervention. UT’s AI program was the learning experience I needed because it exposes the student to the relevant material in the field. The class is challenging and helps students gain knowledge and experience in a structured and sequential manner. The Great Learning application is useful and easy to use. The support provided by the Program Manager was outstanding, a combination of rigor and gentle handling of issues and people. I am very satisfied with how I was treated, and my problems resolved. There is an understanding that people work but also of maintaining a high-level instruction. The Professors are very knowledgeable and highly qualified instructors who are part of UT’s exceptional program. I learned a high-level conceptual understanding of AI, how it’s structured, and how it works. The Introduction to Python was very relevant to me, I was able to understand the power of this language and how useful it can be. The importance of data and managing prediction as a separate element. The statistical bases underneath the theory and practice and the creation of AI models based on reality and on testing and training the model against that reality. The classes were organized in self-learning mode, with material for visual and auditory learners with direct contact with teachers and fellow students to expand the material and/or answer any questions. If still in doubt, I could always contact Program Support for assistance and a solution. I recommend UT’s extraordinary AI Program because it teaches you the immense power AI can offer. It is worth it if we need to stay relevant in today’s highly evolving technology landscape.

I highly recommend this program to anyone looking to learn data & business analytics. The program starts off teaching you the fundamentals and quickly advances to several different analytics tools that have great real-life application. The learning method... Read More suits those with a busy schedule, with video lectures and notes being made available for students to watch at their own pace, and live sessions taking place during the weekends. Overall, this is amazing program!