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Data Research
·
Module 4
Data Cleaning and Preparation
1
Advanced Data Filtering for Cleaning
Use advanced filtering techniques to isolate data for cleaning.
2
Find & Replace for Data Entry Errors
Identify and correct data entry errors using Find & Replace.
Deduplicating Datasets
Remove duplicate rows from a dataset.
4
Splitting Columns: First & Last Names
Split data from one column into multiple columns (e.g., 'Full Name' into 'First' and 'Last').
5
Standardizing Data Formats
Standardize data formats for consistency (e.g., dates, phone numbers).
6
Missing Value Imputation
Identify and handle missing values in a dataset.
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Web Research and Data Collection
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Market Research Application