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RITx: Data Processing and Analysis with Excel

3.6 stars
17 ratings

Learn to use Excel to organize and clean data so it can be manipulated and analyzed.

Data Processing and Analysis with Excel
4 weeks
6–8 hours per week
Self-paced
Progress at your own speed
This course is archived

About this course

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In this course, you will learn how to organize your data within the Microsoft Office Excel software tool. Once organized, we will discuss data cleaning. You will learn how to identify outliers and anomalies in the data, and how to identify and change data-types. Together we will develop a data analysis plan, after which we will apply analysis methods and tools, including exploratory analysis, evaluation of results, and comparison with other findings.

In this robust Excel course, you will gain a solid foundation in using advanced Excel functions such as pivot tables and vlookup to organize and analyze data sets. You will be able to create an Excel chart in a variety of chart types including scatter plot, pie charts, and more. We’ll discuss various techniques such as descriptive statistics, and review the variety of Excel add-ins available to use this powerful tool to organize, analyze, and transform your data into actionable insights. All course activities are designed and demonstrated using Windows OS and Microsoft Excel 2016.

At a glance

  • Language: English
  • Video Transcript: English
  • Associated programs:
  • Associated skills:Scatter Plots, Descriptive Statistics, Data Processing, Data Analysis, Outliers, Data Cleansing, Pivot Tables And Charts, Lookup Tables, Vlookups, Microsoft Excel

What you'll learn

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After completing this course, learners will be able to use Microsoft Excel to:

● Perform basic data organization

● Clean data

● Develop a data analysis plan

● Perform analysis methods and tools

This course is part of Data Analysis for Decision-Making Professional Certificate Program

Learn more 
Expert instruction
3 skill-building courses
Self-paced
Progress at your own speed
3 months
6 - 8 hours per week

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