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There is a lot of great info and guidance here. Discussion of various types of data (some still a bit confusing to me), quantitative, qualitative, structured and unstructured, internal and external, etc. Discussion of data bias, data ethics, data protection, good vs bad data, open data etc. Discussion of importing data, spreadsheets and databases, sorting and filtering, creating datasets and tables, discussion of Boolean logic and SQL syntax, file naming conventions and staying organized. Creating a Kaggle account, a BigQuery account, a LinkedIn account; links to various helpful websites, dealing with Social Media; mentors/sponsors (for the future). All very very useful. Again, I very much like the format of these courses, where you have a few minutes of video, a few minutes of reading, some exercises and quizzes, so a lot of variety, you don't get bored. The "teachers" are enjoyable to listen to, and they have occasional "guest" appearances to throw in some personal perspectives. I end up sitting here at 10 PM thinking "OK, I'll watch just ONE MORE VIDEO..." and before you know it it's 6 AM...

I feel fantastic, like it to know until now this tools to growth in knowledge, until now i think that i have a glance of the universe of DATA analysis, the courses have a lot of theoretical minutes and good references of data driven communities;

Any of those I watched hard to start to use, because i need to learn a lot of stuff to find out how manage (ex. KAGGEL), but i appreciated that let me know this values WEBS, i could enjoy shorts practices minutes and so far i could have barely work in the course with spreadsheets and run simple queries, i hopefully have in advances more practices and knowledge of the tools like spreadsheets and SQL.

I Know that to improve is on me, researching the references that give me but i feel that’s i spend time surfing in other references videos with other formats that could have in these courses. Thanks in advance by open and show me a little the data universe.