ÌÇÐÄvlog¹ÙÍø¹Û¿´

0

.

.

5

.

,

.

d

.

n

.

i

i

Z

c

.

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