<prompt> Saense ea data e fapane joang le mananeo a akaretsang?nan  <response>: Instruction in English: How is data science different from general programming? . Response in English: Data science and general programming are two distinct disciplines, even though they often overlap in their use of certain techniques, tools, and methods.Data science involves the use of statistical and machine learning techniques to extract insights and knowledge from data. It requires an understanding of mathematics, statistics, and domain-specific knowledge to design experiments, collect, manipulate and analyze complex data, and draw meaningful conclusions in the pursuit of finding actionable insights that can help support critical decisions.General programming, on the other hand, involves writing code to instruct a computer to perform specific tasks, often in the development of software applications. This discipline concerns itself with designing, coding, and testing algorithms, data structures, and user interfaces that can scale and perform efficiently for the applications intended use.In summary, data science focuses on deriving intelligence from data while general programming focuses on building software systems. Data scientists use programming to help automate data collection, data processing, and analysis, while general programmers may use data analysis techniques to help inform their design and implementation of algorithms, data structures, and other components of software systems. . Response in Sesotho: Mahlale a data le mananeo a akaretsang ke mekhoa e meli e fapaneng, leha hangata e sebelisana le mekhoa, lisebelisoa le mekhoa e itseng. Saense ea data e kenyelletsa tsebeliso ea lipalo le mekhoa ea ho ithuta ka mochini ho ntša lintlha le tsebo ho tsoa ho data. E hloka kutloisiso ea lipalo, lipalo-palo, le tsebo e ikhethileng ea domain ho rala liteko, ho bokella, ho laola le ho sekaseka lintlha tse rarahaneng, le ho etsa liqeto tse nang le moelelo molemong oa ho fumana lintlha tse ka tšeptjoang tse ka thusang ho tsehetsa liqeto tsa bohlokoa. Lenaneo le akaretsang, ka lehlakoreng le leng, le kenyelletsa ho ngola khoutu ho laela komporo ho etsa mesebetsi e itseng, hangata ho ntsetsopele ea litsebetso tsa software. Taeo ena e amana le ho rala, ho khouta, le li-algorithms tsa liteko, libopeho tsa data, le lihokelo tsa basebelisi tse ka holang le ho sebetsa hantle bakeng sa litsebetso tse reriloeng ho li sebelisa. Ka bokhutšoanyane, mahlale a data a shebane le ho fumana bohlale ho tsoa ho data ha mananeo a akaretsang a shebile ho aha litsamaiso tsa software. Bo-ramahlale ba data ba sebelisa mananeo ho thusa ho bokella data ka boitsoaro, tsebetso ea data le tlhahlobo, athe baetsi ba mananeo ka kakaretso ba ka sebelisa mekhoa ea tlhahlobo ea data ho thusa ho tsebisa moralo oa bona le tsebetsong ea li-algorithms, sebopeho sa data le likarolo tse ling tsa sistimi ea software. 