Skip to main content

Learnings from Excel Skills For Business: Essentials by Macquarie University, Coursera Certificate

 



 

Eyes are a great gift of God to humankind. We should not subject them to unnecessary strain by looking at dirty data. Instead, we should focus on cleaning up any dirty data we may have.

I have recently finished Excel Skills For Business: Essentials by Macquarie University certificate course from Coursera. Best way to check your learnings is to implement them in real life.

This is the snapshot of a dataset, that I have taken from Kaggle. It represents the details of laptops of different companies with their prices, memory, GPU and operating systems.


Snapshot of uncleaned dataset

 

LEARNINGS 

  • Use of Fill Handle

A plus sign is used as a fill handle; Excel's fill handle is a strong tool that lets you swiftly insert formulas or data into cells. It is shown as a little square in the selected cell or range's lower-right corner.


 

  •   Adjusted Column Width

It helps in making the data more presentable and less of an eye sore.


  • Use of Cell Styles

We use cell styles to quickly change the appearance of an excel sheet. It helps us in applying the same formatting to a group of cells quickly.


  •   Insertion of a row

I have inserted a row for the heading, that will describe what the data is about. Whenever we are presenting the data or sharing excel sheet with someone it will help in better understanding.                    

          

  • Use of merge and center

Merge and center is used to merge the selected cells and centralize the contents of first cell. 



  • Use of Filter

Go to the Data tab and select filters. It helps us in sorting large datasets based on certain criteria.


 

How this filter option is useful?

Click on the dropdown symbol in each column header. Tick on the check box in front of 14. We can display only those laptops that have screen size of 14 inches.


NOTE- In our data we had some blank rows. First we will delete those rows, otherwise our filter won’t work properly. Following are the steps to highlight blank rows only.

Home > Editing group > Find and select > Go to special > Select Blanks

You will be able to see that all the blank rows are highlighted.

                  

             
Then delete the rows, a dialog box will appear.



Delete the entire blank row.

Yay! We have dealt with the blank rows.

Now your Filter will work and show all the 14 inches’ laptops.


  • Using Functions in Excel

To find out the average price of 14 inches’ laptops I used AVERAGE function on the price column.

 

RESULTS

This is the cleaned dataset that we get after performing the above mentioned operations.


 

 

 

 

 

 



Comments

Popular posts from this blog

The Mysterious Case of the 35% Dal Makhni

When Harry met Sally...oops  When Laziness Meets Data There comes a day in your life where you glance at your expenses and you realize that you have spent  more on food delivery than on groceries or even savings. It happened to me when I did the math and found that my total monthly spending was being utilized by 35% of feeding laziness. Yes, more than one-third of my money went to ordering food online. If my Swiggy account had a loyalty program, I’d be its Platinum Ambassador by now. Armed with this alarming realization, I dived into the data hoping for some clarity—or at least a good laugh at my own expense. What I found was a budgetary roast hotter than the dal makhni I paid a premium for.  The Pie Chart of Poor Decisions When I sorted through my expenses, I was shocked to see food delivery as the absolute winner, consuming 35% of my budget. Rent and bills comprised 18%, and then came those impulsive buys from Nykaa that tallied at 15%. Everything else added up to 32%...

The Loan Detective: Identifying Risks and Anomalies in Financial Data

1. Introduction ·          The " The Loan Detective: Identifying Risks and Anomalies in Financial Data " aims to evaluate the risk associated with loan applicants using a comprehensive dataset containing customer and loan details. In the financial industry, accurately assessing loan risk is crucial for minimizing potential losses and ensuring the stability of lending institutions. This project leverages SQL to explore and analyze key risk factors, providing insights into customer profiles, creditworthiness, and potential default risks. The dataset used in this project includes a range of attributes such as customer demographics, loan amounts, credit scores, and repayment history. By examining these factors, we aim to identify high-risk customers, understand the characteristics of defaulted loans, and propose strategies for improving loan approval processes. The project not only focuses on the technical aspects of data analysis but also incorporat...

Exploring IBM Data Analytics: A Comprehensive Review

Data Analytics is a skill that is becoming a need in every profession. A skill so common that you'll find multiple courses on multiple websites guaranteeing you success. Choosing the best fit from such a huge lot is not an easy task. It needs thorough research about the course, the instructors and the platform. One such course is  IBM Data Analytics with Excel and R  on Coursera.   This professional certificate is a 9 course series including  1.      Introduction to Data Analytics  2.      Excel basics for Data Analysis 3.      Data visualization and Dashboards with Excel and Cognos 4.      Assessment for Data Analysis and Visualization Foundation 5.      Introduction to R programming for Data science 6.      SQL for Data Science with R 7.      Data analysis with R 8.      Data visu...