Focus on a Specific Technique (30-40 minutes):
Regular Expressions (Regex): Learn the basics for pattern matching and extraction. Practice extracting specific pieces of information (e.g., dates, names, numbers) from a sample text list.
Delimited Text Parsing: If your list items are separated by commas, tabs, or other delimiters brother cell phone list practice using text-to-columns functions in spreadsheets or split() functions in programming.
If your "list" is structured but needs reformatting:
Spreadsheet Functions:
VLOOKUP/XLOOKUP: To bring in related data from other lists/tables.
TEXT TO COLUMNS: To split data into separate columns.
CONCATENATE or &: To combine data from multiple columns.
SORT, FILTER: To organize and narrow down your data.
COUNTIF/SUMIF: To summarize data based on criteria.
Python/Pandas (if you have basic coding knowledge):
Practice loading a list into a Pandas DataFrame.
Use .loc, .iloc to select data.
Use apply() to transform data in a column.
Use groupby() to aggregate data.
If you need to identify patterns or outliers:
Conditional Formatting (Spreadsheets): Quickly highlight data based on rules.
Sorting/Filtering: Identify extreme values or common occurrences.
Practice with a Small, Relevant Dataset (all 60 minutes).