<prompt> Thathamisa lisebelisoa tse nè tsa bohlokoa bakeng sa saense ea data.nan  <response>: Instruction in English: List four essential tools for data science. . Response in English: 1. Statistical Analysis Software: Tools that provide statistical analysis capabilities, such as R, SAS, or SPSS, are essential for data scientists to manipulate and analyze data.2. Data visualization tools: Data visualization tools, such as Tableau or Power BI, help to create powerful graphics and visualizations that help in communicating insights and patterns derived from data.3. Programming languages: Programming languages, such as Python, Java, or Scala, are essential for data scientists to work with big data, perform complex analyses, and build powerful predictive models.4. Machine Learning Frameworks: Machine learning frameworks such as TensorFlow, Keras or Pytorch, provide data scientists with the ability to design, train and deploy Machine learning and neural network models that can predict, classify or cluster data. . Response in Sesotho: 1. Statistical Analysis Software: Lisebelisoa tse fanang ka bokhoni ba tlhahlobo ea lipalo-palo, tse kang R, SAS, kapa SPSS, li bohlokoa bakeng sa bo-rasaense ba data ho laola le ho hlahloba lintlha. 2. Lisebelisoa tsa ho bona lintlha: Lisebelisoa tsa pono ea data, joalo ka Tableau kapa Power BI, li thusa ho theha litšoantšo tse matla le lipono tse thusang ho fetisa maikutlo le lipaterone tse nkiloeng ho data. 3. Lipuo tsa ho hlophisa: Lipuo tsa ho hlophisa, tse kang Python, Java, kapa Scala, li bohlokoa hore bo-rasaense ba data ba sebetse ka boitsebiso bo boholo, ba etse litlhahlobo tse rarahaneng, le ho etsa mehlala e matla ea ho bolela esale pele. 4. Mekhahlelo ea ho Ithuta ka Mochini: Mekhahlelo ea ho ithuta ka mochini e kang TensorFlow, Keras kapa Pytorch, e fana ka bo-rasaense ba data bokhoni ba ho rala, ho koetlisa le ho tsamaisa thuto ea Mochini le mefuta ea marang-rang ea methapo e ka lepang, ho arola kapa ho kopanya data. 