Engineering and Technology
Learn how to pull character strings apart, put them back together and use the stringr package.
Character strings are a common occurrence in various stages of a data science project. It is often necessary to preprocess and clean string inputs before conducting analysis, extract relevant information embedded within text, or convert numeric results into coherent sentences for inclusion in reports. In some cases, the strings themselves may be the primary focus, requiring the detection and matching of patterns within them. This course aims to equip you with the skills to effectively handle these tasks by teaching you techniques to deconstruct and reconstruct strings, as well as utilizing stringr, a powerful tool for detecting, extracting, matching, and splitting strings using regular expressions. By mastering these techniques, you will enhance your ability to work with character strings in a data science context.
by DataCamp
Learn how to pull character strings apart, put them back together and use the stringr package.
by DataCamp
Learn about string manipulation and become a master at using regular expressions.
by DataCamp
Get ready to categorize! In this course, you will work with non-numerical data, such as job titles o...
by DataCamp
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi...
by DataCamp
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulatio...
by DataCamp
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R...
by DataCamp
Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
by DataCamp
Develop the skills you need to clean raw data and transform it into accurate insights.
by DataCamp
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply t...
by DataCamp
Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.