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Excel Tricks: Data Cleaning - Must for further data analysis (2016)

Excel Tricks: Data Cleaning - Must for further data analysis
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | Lec: 27 | 489 MB
Genre: eLearning | Language: English

Learn Beginner to Advanced tricks on Data Cleaning - Go To, Date correction, Replace using wildcards, Text to Columns
We get data from various sources like ERP, SAP and in different formats. In order to make it useful to analyse, we have to clean this and put them in a structured format. It's a pure time-consuming activity. In order to save time and effort on cleaning and put the structure in place, We need few important data cleaning techniques as mentioned below which are part of this course. Check the list of Topics being covered in this course on Data Cleaning in Excel:

Go To (Special) with Errors
Go To (Special) without Errors
Go To (Special) with Ctrl + Enter
Go To (Special) - Fill Intermittent Black Cells
Go To (Special) -Visible Cells vs Shortcuts
Text Formulas - Change Case using UPPER(), PROPER() & LOWER()
Text Formulas - Remove Leading, Trailing & excess Intermittent spaces using TRIM()
Text Formulas - Using LEN() & TRIM() together
Text Formulas - T(), N() & VALUE()
Text Formulas - REPT() for artificial Column Chart in a Cell
Text Formulas - REPT() & LEN() for adding leading zero before incomplete Cheque Nos.
Find & Replace - Using Wildcard character ( )
Find & Replace - Neutralising Wildcard characters to remove them from data
Find & Replace - Word vs. Excel
Find & Replace - Cell Format
Text to Columns - Basics (Delimited)
Text to Columns - Basics (Fixed Width) + Hidden Trick
Text to Columns - Cleaning up numbers w. trailing minus sign
Text to Columns - Cleaning up numbers w. leading DrCr text
Text to Columns - Correcting invalid Dates (DMY)
Text to Columns - Correcting invalid Dates (YMD)
Text Formulas - LEFT(), RIGHT() & SEARCH()
Text Formulas - MID() & LEN()
We have 26 videos of duration 1.5 hrs. Through practical examples, they start from the foundation and take you to the Ninja level application.

Excel Tricks: Data Cleaning - Must for further data analysis (2016)



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