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Have you subscribed to my YouTube Channel?

If you give me a minute to train you on Microsoft Excel, you will be good, an hour, you will be great.

And in two days, you will become unbeatable on Excel data analytics

Do you want to be good on Microsoft Excel like Akerele Oluwasogo, GLMP (MR EXCEL)

Subscribe to my YouTube Channel to watch all my exciting Excel videos

Click on the link below 👇👇👇

Akerele Oluwasogo (Mr Excel) - YouTube As a full-time Data Analytics Consultant and Excel instructor, I cut my teeth using Excel to solve real-world business problems and develop award-winning ana...

New Excel Video Alert

How To Use 3-D Reference for Data Consolidation

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Excel Video: How To Use 3-D Reference in Excel: Excel Video: How To Use 3-D Reference in Excel:One of Excel's greatest cell reference features is a 3D reference, or dimensional reference as it is also know...

The Baby was brought to my Excel class yesterday by her mother, who had been unable to find a babysitter.

I held the child for some minutes so the mother can practice the Exce lessons on her Laptop and take good notes during the training.

I was worried that he would start crying but it actually went perfectly.

He was extremely well behaved.

This serves as a reminder of what parents have to do every day and how important it is to support them

I bounced the baby boy up and down during the class and joked about sending him to sleep with Vlookup 😂😂😂

When he started falling asleep, I told the class ''I guess Mr Excel just discovered new talent in babysitting"😂😂

Should I learn MS Excel before Power BI for data analysis and visualization?

This is a great question.

Even though there are many data analysis and data visualization tools out there that are entirely online, you can rarely avoid having to work with Excel at some point or another.

Examples of tasks that often happen in a spreadsheet format:

👉Cleaning data

👉Preparing data for import to your data visualization and analysis tool (Unfortunately you can’t always connect via API)

👉Transferring data from one system to another. (Data is often exported in a CSV file format)

👉Perform additional calculations before visualizing your data.

👉Combining data sets.
In fact, it is estimated that 80% of data scientists’ time is spent cleaning and preparing data

You won’t need to be an expert in Excel, but it does come in handy to be proficient in Excel.

Forget about learning how to visualize data in Excel, nobody does that anymore if they can avoid it.

Instead focus on learning how to clean data in Excel, transform layouts, and combine data sets.

From my experience, Excel proficiency will allow you skip the cleaning and preparation stage faster and spend more time on the fun stuff—analyzing and visualizing data.

If you need to brush up on Excel, take Excel first and then the Power BI course.

Do you agree?