Desafio Latam

• La dinámica de la clase es bastante interesante, comenzando con un repaso de la clase anterior, revisando la materia de la clase actual y cerrando con un desafío que te permite aplicar los conceptos aprendidos de manera que te permite retener la información.
• El contenido para estudiar es muy completo, este se complementa con videos y pdf con resúmenes de la materia directo al grano.
• Los profesores tienen un background tanto educativo como laboral bastante interesante. 
• La exigencia es la suficiente como para sentirse comprometido con el bootcamp. 
• El precio es bastante bueno en relación al beneficio reflejado en el salario.

me gusto mucho la metodologia activa con la que realizan las clases

I am currently on the 20th/30 week of the FullStack bootcamp course, and as someone who had close to zero practical knowledge previous to it, this place was a huge step to just start learning.

The course starts with just the basics, nevertheless the division of contents lets you start building things from the first week, so you can see and check the progress you'd been making in not just tests or quizzes, but in actual creations.

Overall, the course is well designed, there are constantly new challenges to test your learning through the week, and the e-learning videos fulfill their purpose: they teach. Also, the difficulty increases each week, so it keeps you from getting bored or unchallenged.

At the end of the course, each student has to present their final project, consisting on a web app which has to include most of the teachings you've learnt, and this should let you have the fundamental skills to start a coding career. 

In my opinion, once you graduate this course will not leave you prepared to have a developer job, but it lets you have the tools to keep going, so you know where to go next. 

Some considerations that might come in handy:

• The course is designed to make you work on what you learn, and if you don't have time to spend working on the challenges or don't watch the videos, it's gonna be tough to see the value on this course.
• The classes are adapted to the students needs, so if there are no questions regarding challenges or previous lessons, the teachers will probably just stick to the current class exercise. It's up to each student to check if their work has been made properly.
• There is no quick independant feedback to what challenges you have uploaded, but I've heard there are some upcoming changes that will authomatically check if what you've coded is correct.
• The academy encourages meetups and additional events to network, so it's up to everyone to go there and have a good time out of class.
• Finally, Ruby is not be the most used language (along with Rails as framework) nowadays in the industry, so it might feel outdated when compared to learning Python or Javascript. Nevertheless, compared to some universities and other institutions, the program doesn't feel too old. Ruby on Rails has its market and the job opportunities are vast.

• Cómo usar python  y los distintos comandos/librerías que éste tiene, principalmente dentro de Jupyter Notebook.
• Gráficos en python con matplotlib y seaborn, junto con estadística.
• Machine Learning, principalmente modelos de regresión y clasificación con scikit-learn.
• PostgreSQL, utilizando DBeaver como programa.
• Big Data, utilizando clusters manejados por el Docente, donde se pudo usar Hue, Spark y Jupyter, con máquinas de Amazon.