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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.

The course "Prepare Data for Exploration" is designed to teach learners how to clean, manipulate, and preprocess data using Python libraries such as Pandas and NumPy. The course covers data wrangling techniques such as merging, reshaping, and aggregating data, as well as handling missing and inconsistent data.

The course is suitable for individuals with basic knowledge of Python and data analysis. It provides a practical approach to data cleaning and preprocessing, using real-world datasets. The course is also taught by experienced instructors who provide clear explanations and examples throughout the lessons.

Overall, the course "Prepare Data for Exploration" is highly recommended for individuals who want to improve their data cleaning and preprocessing skills in preparation for data exploration and analysis.

Course was quite Informative. I do feel that more time should have been giving to teaching the technical parts; SQL because I had to do alot of back and forth with external research to be able to thoroughly follow through.

The Bigquery Interface has since changed alot since the time these lessons were prepped to now, and so, the screenshots were confising at some point. I do understand troubleshooting is a good skill to practice, given the scenario, which I was able to pull through, but it wasn't same for a lot of folks at the discussion forums. Some even unenrolled due to this. I don't know what Cousera and google can do but that needs to be fixed.

Every other week from there was faily okay. I am looking foward to more hand-on technical practices with subsequent courses.

Every thing was almost good. Especially the instructor. She was very professional regarding eye contact and being natural in delivering concepts. But, the previous instructor was almost reading from monitor and was not natural and was distracting for me as a learner.

The reason that I did not go for 5 star is that in BigQuery, I had some difficulties at first and it was not described straightforward and also the fact that the course was not updated with new features on BigQuery, make it a bit confusing to get the hang of it.

But, the overall experience was great. I also appreciate for the valuable lessons about networking opportunities that was provided for learners. They are really helpful to join the real world's data analysts and scientists.

The course was great and it was delivered very by the instructor. The practise exercises with hands on activity was very well delivered. The course covered topics related to preparing data for the Data analysis process and it covered topics ranging from data ethics to data handling on spreadsheets and BigQuery. Hallie was great in delivering the contents of the course so well and I thank her a lot for making this course very interesting. I would definitely recommend this course to anyone who is starting their data analytics journey to go with this course. But sometimes the course felt a little stretched and this course might just be a revision for people who are already familiar with the data analysis process.