I am learning Python from Youtube till now l am done with basics like logical operators,if-else,Time, Maths, Dictionary, Random, Indexing,Loops, Collections, Functions, Arguments and return.

Should I move to Numpy or there are still things left if I am preparing for Data analyst job.

Hello everyone, hope you're doing well.

I don't have a problem with the technical stuff, I'm still learning but I know I can be good at it, my problem is after I collect,clean and analyze the data and visualize it, Idk what I should write for example in the README on GitHub? How can I explain why the sells dropped on March for example ? It just dropped, how can I know why ? And how can I help in decision making and give advice ??

I only see tutorials on how to use the tools not on how to think and understanding the findings..

Any advice ?

The company I work for distributes products.

We created our item numbers based off of theirs but with our own identifiers.

Example : ABC-1234 (ABC = Identifier and 1234 = manufacturer part number)

The manufacturer has recently renumbered their products and now we have to add the new numbers to the existing descriptions so that they match up to the old ones.

I have an excel sheet with one column (A) showing our part number and the one next to it (B) showing their new number for the same product.

I have a different file that I exported all of our numbers and descriptions to and now I need to take our part number, and their new one, and add it to the export so I can upload to our system.

What is the most efficient way to get this done?

Thank you!!!

I need a new trending tool or solution in business intelligence and data analysis. I'm planning a brown bag session on that.