Intermediate Spreadsheets
Expand your spreadsheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
- 4 hours
- 12 Videos
- 48 Exercises
- 16,259 Participants
- 4,150 XP
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Course Description
This course will expand your Google Sheets vocabulary. You'll dive deeper into data types, practice manipulating numeric and logical data, explore missing data and error types, and calculate some summary statistics. As you go, you'll explore datasets on 100m sprint world records, asteroid close encounters, benefit claims, and butterflies.
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1
What's in a cell?
FreeIn which you learn to interrogate cells to determine the data type of their contents, and to convert between data types.
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Logic & Errors
In which you learn how to work with logical data consisting of TRUE and FALSE values, and how to handle missing values and errors.
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Working with numbers
In which you learn to apply log and square root transformations to numbers, round them up and down, and generate random numbers.
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Positional Matching
In which you learn about cell addresses, advanced matching, sorting and filtering, and simple imputation.
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1
What's in a cell?
FreeIn which you learn to interrogate cells to determine the data type of their contents, and to convert between data types.
-
Working with numbers
In which you learn to apply log and square root transformations to numbers, round them up and down, and generate random numbers.
-
Logic & Errors
In which you learn how to work with logical data consisting of TRUE and FALSE values, and how to handle missing values and errors.
-
Positional Matching
In which you learn about cell addresses, advanced matching, sorting and filtering, and simple imputation.
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Richie Cotton
Curriculum Architect at DataCamp
Richie runs the Content Quality team at DataCamp. He has been using R since 2004, in the fields of proteomics, debt collection, and chemical health and safety. He has released almost 30 R packages on CRAN and Bioconductor – most famously the assertive suite of packages – as well as creating and contributing to many others. He also has written two books on R programming, Learning R and Testing R Code.
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