Programming skills are necessary for data manipulation from "summary" of Data Science For Dummies by Lillian Pierson
To effectively manipulate data, one must possess programming skills. This is because data manipulation involves tasks such as cleaning, transforming, and analyzing data, all of which require the use of programming languages. Without the ability to write code, it would be challenging to perform these tasks efficiently and accurately. Programming skills allow data scientists to automate repetitive tasks, handle large datasets, and create complex data transformations. By using programming languages like Python, R, or SQL, data scientists can write scripts or programs to clean and preprocess data. These scripts can be used to remove missing values, standardize data formats, or merge multiple datasets. Programming skills also enable data scientists to perform advanced data analysis techniques, such as statistical modeling, machine learning, or data visualization. These techniques help extract insights and patterns from data that can be used to make informed decisions. In addition to data cleaning and analysis, programming skills are essential for data manipulation because they provide a way to interact with databases and APIs. Data scientists often need to query databases, extract data from web APIs, or connect to external data sources. Programming skills allow them to write code that can retrieve, store, and manipulate data from various sources.- Programming skills enable data scientists to work with different data formats, such as CSV, JSON, XML, or databases. They can write code to read, write, and transform data in these formats, making it easier to handle diverse data sources. Overall, programming skills are a fundamental requirement for data manipulation because they empower data scientists to work with data effectively and efficiently.
