Excel for Data Science and Machine Learning (Udemy.com)

Excelente curso, un poco desactualizado en la nueva versión de Azure studio, pero da las herramientas para hacerlo por nuestra cuenta.

The explanations are clear. I'd just prefer if everything were done from scratch, in the sense of editing and writing stuff, before we put in regression results and all that. Although I figured it out, it would be much easier. But that's not anything major, it just makes me more hardworking and more attentive, and it also saves unnecessary time for the instructors. But that is by the way. The lessons were superb

This course met my expectations. It is worth taking and I learned some tips. I haven't used Excel for machine learning due to its limitations regarding file size. I am amazed at doing some machine learning algorithms in Excel.

"Excel for Data Science and Machine Learning" on Udemy is an exceptional course! I'm thoroughly enjoying my journey through the world of data science and machine learning. The content is comprehensive, the instruction is clear, and the hands-on practice is invaluable. Whether you're new to Excel or looking to advance your skills, this course is a must. The structured curriculum and continuous support make learning a breeze. Highly recommended for anyone seeking a solid foundation in these fields! 5/5 stars.

Extremely helpful in learning how to apply my preexisting knowledge in data science to new field (machine learning). I'm able to learn a new skill from building on my existing ones seamlessly. Helpful videos, graphs, and illustrations improved the learning process.

A very good introduction for someone with a background in Microsoft Excel, (but no programming skills).

I was having high expectation from the course and it does cover the key concepts well. The course is full of statistical formulas and insight for solving machine learning problems. Lot of exercises as well. All of which are very good. The missing part for me was the written study material containing the all the details mostly cover as voice over. And practically it is very difficult to remember all of them and apply. So my rating follows. I did like the section 9 which is really very good.

This is still early in the course to fully raté the course. All I can say is that based on the quality of the information and the structure of the course I believe the course will be great. I am really happy with what ways taught so far it’s clear, easy to follow and understand though still at the introduction level

I'd like more exercises to do myself. Maybe provide the datasets and require a certain answer before progression. Additionally, it'd be great to get a closeup of the formula bar at crucial stages instead of having to pause and zoom in every time I want to figure out what the instructor is doing.

I love this course! The instructor goes deeper into the theory, rather than just showing technical points. I'm enjoying it so far. Thank you!