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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.

Review of ÌÇÐÄvlog¹ÙÍø¹Û¿´â€™s Data Analyst Course: The ÌÇÐÄvlog¹ÙÍø¹Û¿´ Data Analyst course offers a comprehensive introduction to data analysis fundamentals, including data cleaning, visualization, and interpretation. It effectively balances theory with hands-on projects, especially through platforms like Kaggle, which enhance practical skills. The course materials are well-structured and accessible for beginners, with clear explanations and useful real-world datasets. One of the strengths of this course is the community aspect, allowing learners to collaborate and learn from each other’s notebooks and blog posts. However, some sections could benefit from deeper dives into advanced tools or more industry-specific case studies. Overall, it’s an excellent starting point for aspiring data analysts looking to build a solid foundation and showcase their work online

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.