good.

Great

good

good

good

good

Good

Good

good

good

good

good

Nice

Nice

cool

good

good

yes

ok

0

C

E

g

The last course in this specialization had me second guessing myself on whether or not I could do this (based on how difficult the quizzes/course project was). I spent tons of time researching, looking at the forums, and programming documentation. Going into this course, I was surprised about how much I knew when it came to the quizzes and how my time looking at all the resources above decreased and I actually knew where to begin! The course project was still VERY difficult for this beginning specialization compared to what information is given in the lectures (spent over 16 hours on it and still didn't meet ALL criteria). However, it does challenge you to think and reflect on your knowledge. You probably won't understand 100% of what is in the course (especially the project) but you will LEARN especially if you are totally NEW to programming like me! My knowledge has increased and that is what I was hoping for. If you have those same hopes and do not mind not getting 100%'s on all quizzes/projects this course is for you. Do be mindful that I personally feel that this course requires more than 4-6 hours per week especially for beginners. I spent more than 24 hours on week 4 alone.

Aunque el curso es muy bueno y lo recomiendo a cualquiera que quiera hacer una carrera como Data Scientist, tiene algunos problemas completamente solucionables, por ejemplo en algunas de las clases que muestran el uso de paquetes problemáticos y que son completamente prescindibles para el 99% de los casos. Además no hay orientación para los sistemas Linux, y siendo un curso sobre una herramienta open-source me parece una triste omisión. Dicho esto, el curso es muy bueno, y te va a enseñar a lidiar con datos desordenados y con distintos formatos de datos. No lo recomendaría para alguien que no tiene experiencia previa en R.

Although the course is very good and I recommend it to anyone who wants to pursue a career as a Data Scientist, it has some completely solvable problems, i.e. some of the classes that show the use of problematic packages and that are completely expendable for 99% of cases. Also there is no guidance for Linux systems, and being a course on an open-source tool seems to me a sad omission. That said, the course is very good, and it will teach you how to deal with messy data and different data formats. I would not recommend it for someone who has no previous experience in R.