I am applying for a data analyst position with a company, and I was given an assignment with six questions to solve in SQL and Excel. While I know SQL, I am not familiar with Excel. I tried to solve the questions in SQL using my own logic and ChatGPT. Today was the submission date, and I tried using Excel, but I couldn't solve a single question. I have been working from 12 PM to 8 PM, and I only managed to solve two questions, but the answers didn't match those I got from SQL. I then called my friend and asked for help.
He said, "Okay, I will help you."
He helped me with one question but got tired and went to sleep. I continued working and managed to get some answers (e.g., SQL: 70.27, Excel: 79.32), then I submitted the assignment.
While working on the SQL queries and solving questions, I thought I was right, but the answers turned out to be all wrong
I have a question that I find the most challenging and don't know how to solve. I want to improve but feel stuck. .🥲🥲
Try doing this coursera course on excel. One aussie university has a great walkthrough with dummy data and clear concise lessons.
Thank you ❤🙏 For the suggestion it will help me
The only solution to this is.. keep going 🤷🏻♂️
Yes
Blud excel is bread and butter for analytics. It's ok if you failed this one time but learn from it and get yourself prepared for the future interviews
Yes
I have to do some projects and learn from them
you're a fighter man! keep fighting
Yaa i am fighting but it seems no results🥲
What kind of questions were these firstly.Guesstimate ones?
I was selected by Swiggy to give Hackerrank test for BA role after more than a month of applying. Can anyone please let me know how long the hiring process goes? And how many rounds of interviews are there?
Today I messed up my interview and a good opportunity for career and future. Ahhh 😫
Ever tried. Ever failed. No matter. Try Again. Fail again. Fail better.
I have learnt Python, SQL, Tableu and Powerbi, what would be the right path to approach recruiters despite all the rejections because of being from non tech background
