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Here is a simple way to use Microsoft Excel for data analysis

Here is a simple way to use Microsoft Excel for data analysis

by | May 2, 2023 | app, General, How-tos, Microsoft 365, Office, Other News

Microsoft Excel is a powerful tool that can help you perform various types of data analysis, such as descriptive statistics, data visualization, data cleaning, data transformation, and data modeling. In this short blog post, we will show you some basic steps and tips on how to use Excel for data analysis.

Step 1: Import your data into Excel

The first step is to import your data into Excel. You can do this by opening Excel and clicking on the File tab, then selecting Open. Browse to the location of your data file and click on it. Excel will try to detect the format of your data and display a preview of it. You can adjust some settings, such as the delimiter, the header row, and the data type of each column, before clicking on Load.

Alternatively, you can also import your data from other sources, such as a web page, a text file, a database, or another workbook. To do this, click on the Data tab, then select Get Data. Choose the source of your data and follow the instructions on the screen.

an excel sheet showing the dta tab for Excel for data analysis with MCGH details written in the sheets

Step 2: Explore your data in Excel

The next step is to explore your data in Excel. You can do this by using various features and tools that Excel provides, such as:

  • The Quick Analysis tool: This tool allows you to quickly apply some common analysis tasks to your selected data range, such as formatting, charts, tables, sparklines, and formulas. To use this tool, select your data range and click on the Quick Analysis icon that appears at the bottom right corner of your selection. Then choose the category and option that you want to apply.
  • The Filter and Sort options: These options allow you to filter and sort your data based on certain criteria or values. To use these options, select your data range and click on the Filter icon or the Sort icon on the Home tab. Then choose the column and condition that you want to filter or sort by.
  • The PivotTable and PivotChart tools: These tools allow you to summarize and visualize your data in a dynamic and interactive way. To use these tools, select your data range and click on the PivotTable or PivotChart icon on the Insert tab. Then drag and drop the fields that you want to analyze into the appropriate areas of the PivotTable or PivotChart.

Step 3: Analyze your data in Excel

The final step is to analyze your data in Excel. You can do this by using various functions and formulas that Excel provides, such as:

  • The Statistical functions: These functions allow you to perform various statistical calculations on your data, such as mean, median, mode, standard deviation, correlation, regression, and hypothesis testing. To use these functions, enter them in a cell with the appropriate arguments and press Enter.
  • The Data Analysis ToolPak: This is an add-in that allows you to perform more advanced data analysis techniques on your data, such as ANOVA, t-test, chi-square test, Fourier analysis, histogram, and random number generation. To use this add-in, you need to enable it first by clicking on the File tab, then selecting Options. Click on Add-Ins on the left pane, then select Excel Add-Ins from the Manage drop-down list at the bottom. Click on Go and check the box next to Analysis ToolPak. Click on OK and restart Excel.

Once you have enabled the add-in, you can access it by clicking on the Data tab, then selecting Data Analysis. Choose the analysis technique that you want to perform and fill in the required parameters.

In this blog post, we have shown you some basic steps and tips on how to use Microsoft Excel for data analysis. We hope that this post has helped you learn more about Excel’s capabilities and features for data analysis. If you have any questions or feedback, please feel free to leave a comment below.

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Data Analyst, Microsoft Leap program cohort is launching in Lagos

Data Analyst, Microsoft Leap program cohort is launching in Lagos

by | Jan 17, 2021 | General, Microsoft LEAP, Microsoft Nigeria

Data Analyst Microsoft Leap Lagos Nigeria

The Microsoft Leap program is announcing a Data Analyst apprenticeship cohort scheduled to take place in Lagos, Nigeria.

Application portal for registration opens from Monday 18th to the 25th of January 2020. With selected candidates scheduled to start the 16 weeks training on the 8th of March 2020.

The Data Analyst pathway is the latest addition to the previously held cohorts on software engineer, customer service engineer and software support engineer.

Microsoft will host a webinar for anyone interested in learning more about the Leap apprenticeship program. On the 18th at 1200 Noon +1UTC, kindly find webinar link here. Kindly note the link will be live prior to the start of the event.

The webinar event will also throw light on if this is going to be only virtual, physical or mixed training. So don’t miss the webinar and come with your questions.

This is a Female-only cohort. The selected ladies will undergo four weeks of skills training, followed by twelve weeks of hands-on project sessions. With Wragby Business Solutions & Technologies, 2020 Microsoft Country Partner Nigeria award winner.

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Data Analyst Microsoft Leap Lagos Nigeria

Here are some of things a candidate must possess to know if they are eligible for the program. Don’t forget to click the link to find out more details that aren’t covered here about the program.

Data Analyst Cohort eligibility requirements

  • A flair for numbers or basic mathematics skills.
  • Basic knowledge of any of Microsoft Excel, Power BI or Tableau, etc.
  • Accuracy and attention to detail.
  • Written and verbal communication skills.
  • Must have completed the National Youth Service Corps obligation or are exempt.
  • Completed a tertiary degree in a numerate field.

If you meet the eligibility requirements, kindly click here to apply for the program.

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