The Course provides basics of data analytics. It is for beginners to learn about a big picture of the industry and skills needed for data analysts. The course is helpful for me to learn about where to start with data analysis.

Como introducción es muy bueno, ya que explica las bases y el significado de conceptos relacionados con el análisis de datos. Sin embargo, esperaba por lo menos 1 u 2 ejemplos de alguien haciendo un análisis de datos sencillo.

I liked it. Very complete! What I would like to have seen was more visual examples of some tools (how they are, how is their interface) like R, excel, or other visualization tools, in order to get acquainted with them.

Introduction to Data Analytics is a very thorough in troduction to data analytics. This course is designed to be beginner friendly. So, it is highly recommended for people entering the field of data science/analytics.

It would be better to explain things gradually and take more time in each part as I felt I was being introduced to a lot of information that made things a little difficult to tell differentiate between certain things.

Considero que los ejemplos en los videos deben hacerse con las herramientas adecuadas, por ejemplo, cuando se habla de data wrangling, hacer el proceso con Power Query y subirlo como ejemplo mientras corre el video.

The only disadvantage of this course was having to review peers' assignments to move forward to the next courses. It took a long time for an ungraded assignment to appear so that I couldg grade it and move on.

Was a quick overview of the types of tools, software and approach needed in the field of data analytics. not so much a "hands on physically teaching skills" course as an "awareness of what is out there" course.

Overall it was great for me as a complete beginner. I liked the method. However some questions in the final tests were really bad (in Module 1 remember which example MrX give about data analytics?) So stupid!

The information and terminology is good, but the limited interaction in this course makes it hard to stay focused. It might help if there was a midpoint activity or something to help keep students engaged.

The course was very useful and ease to learn it would much better if there were more practical examples (real life examples) that explore all the process of Data analysis till the visitation and publishing

This is a good course for those students who don't have any knowledge about data analytics , and ya 25%-30% course is really indepth knowledge about DA which you will get only by reading multiple books .

Good starting point, however this is not so much an intro course as there is limited information such as terminology. Without the experience I have, I would not have been able to do this as a "newbie."

I don't know if it would be complicated legal wise, but it would be helpful to see examples of how the data can ve visualized or organized in the different softwares mentioned. But pretty solid course.

when I try to submit my weekly quiz they ask me to upgrade to submit my assignment even though I am currently enrolled. Is there someone who faced the same issue? If yes how were you able to fix it?

As a introduction course that is a wonderful course where we deal with basics of analytics. I expected lot more from this course . But then also it is wonderful course as a basic introduction.

In addition to the text file of the video transcript, I would be good to have a powerpoint of the slides in the video. This would capture the visual organization of the informtion provided.

Good informative course, could be a little more interactive. While each section had quick test at the end, it would've been nice to have had more engaging questions and activities throughout.

Very beginner friendly course. Which enables one to take decisions on whether or not to pursue Data Analytics and also helps in deciding which career track in Data Analytics is right for you.

This course is really a great start and the experts give amazing motivations. However, I suggest you include examples during the teaching so that we can relate well to what we have learned.

En un video el audio era muy malo y en la transcripción de la presentación aparecía una leyenda que decía algo como "inaudible" en lugar de lo que mencionó la persona que daba su opinión.

It was interactive, the video was concise and easy to understand. I was able to not only know more about data analysis but also became a critical thinker especially when troubleshooting.

Great course to get the overall idea about what analytics is, where will it be used, various tools. Best part of this course is it has real life data analysts sharing their view points.

It was a good introduction to Data Analytics. The only downside was that the recorded videos were to fast for an amateur like me that was not conversant with the foundational concepts.

The design of the course is very interactive and a person without any knowledge specific to Data Analytics can understand and execute the program effectively. Thank you IBM & Cousera!