If you want to get more confident working with data, Excel formulas, data cleaning, and visualization, come learn with us.
Registration link: fusevarsity.com/cohorts/data-a…
Use my coupon code: FUSEXVICTORIA
Feel free to send me a message if you'd like to know more!
Have you ever looked at a spreadsheet full of data and wondered how people turn all that into useful information? That's part of what data analysis helps you do.
I'll be facilitating the Data Analysis in Excel stack for @FUSEVarsity Cohort 10, starting October 24.
Everyone thinks Excel is "basic" until they need to clean 10,000 messy rows or build an automated dashboard in 10 minutes. Excel isn't old; it's the foundation of business intelligence. If you can master Excel, every other data tool becomes easy.
So, instead of one long block of code, you get: 👉a clear calculation step, and 👉a clear filtering step.
This makes SQL easier to read, understand, and maintain as queries get longer.
CTEs are not about replacing simple SQL but they are about making complex SQL readable.
Excel data cleaning tip:
Hide the columns you think you may not need instead of deleting them.
Even if you have the raw data saved, hiding makes it easy to restore them later if needed. This will save you from cleaning the data all over.
Delete only when you’re completely sure.
Data cleaning tip:
Make a copy of your raw data before touching anything in it.
Name it something like "data_raw.csv" and just let it sit there. safe. untouched. ready to save you...
@RuthChika12 This is a solid piece of work
@RuthChika12
. From the professional colour scheme, good use of space, and a clear structure. You should add a legend to the "The Avg Deal Value by Industry chart " so we know what the three colours represent. Well done!
@OlasunkanmiIsa6 R was the first programming language I learnt before python. I felt R was easier to comprehend. (I still think so). So you will definitely find it easy to learn with the time frame you have.
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