Finished my second project DataWars on how to replace missing values

This can be true but it’s better to be prepared. My advice? Learn enough of each skill to get what you need done. You don’t have to be an expert at everything long as you can figure it out. Not every job will use each of these skills so just be fluent enough to talk about these skills and to get a project done.

MY JOURNEY OF BEING A DATA ANALYST DAY6 Today was all about the operators in R i.e. the arithmetic operators, relational operators ,conditional operators which will be useful when we start analysis fully.

Under the initiation of Data Logger

🚀 Just wrapped up an exciting journey into Abstract Data Types (ADT) in C! 🎉 Here's a peek at my latest project where I created a dynamic array using structs. This experience has deepened my understanding of memory management and data structures. 💡 Key functions: `createArray` for initializing the array `insertElement` for populating it with data `showArray` to display the elements `insertElementByIndex` and `getElementByindex` for accessing and modifying elements Check out the code snippet below! 👇

For your 1st data project, you don’t have to work with complex, messy data. In my opinion, the 1st project is meant for you to learn the proper steps while gaining some confidence. I’ve seen too many people burn themselves out from the beginning because they want to create the craziest projects ever. You have to allow your skills to develop before those intermediate/advanced projects can happen. Start with baby steps and see how much better your 2nd, 3rd, and 4th ones will be!

🚀 Achieved 97.97% Efficiency on the "Two Sum" Problem! 🚀 I'm excited to share that I've successfully solved the "Two Sum" problem with a solution that ranks in the top 97.97%! This achievement highlights the power of efficient algorithm design and the use of data structures.

Admission: Even a #data Dork like me detests: ☢️ Dirty Data and 🤷 Missing Data Those 2 things can make even the most ardent Data Cathedral Architects pull their hair out. If you don't believe me you need only watch the opening introduction for my latest Dork Cast guest, Susan Walsh, the Classification Guru. Although we bring humor to the subject, #DataQuality is no joke. She recommends putting a COAT on your data. One that ensures: ✅ Consistency ✅ Organization ✅ Accuracy ✅ Trustworthiness https://lnkd.in/gt6g6wxm

Hello everyone TASK-10 Today we were assigned a task by our mentor Deepak Maurya to learn how to fetch data from the RAM of a system. To know how I figured it out, check-out the link below: https://lnkd.in/gGVyAhFi

🔄 ShelterDb: Organizing Data with First Normal Form (1NF) (Part 2) 🔄 Hey everyone! Thanks for following along with my ShelterDb journey. If you missed Part 1, we talked about why Normal Form 0 (NF0) can create inefficiencies and the importance of moving to a more structured database. I'll put a link to NF0 into the comments. Today, we’re diving into First Normal Form (1NF)—the first step toward cleaning up your data!