<prompt> Hlahisa lenane la litsebo tse 5 tseo rasaense oa data a lokelang ho ba le tsona.nan  <response>: Instruction in English: Generate a list of 5 skills that a data scientist should have. . Response in English: 1. Proficiency in Mathematics and Statistics: A data scientist must have strong foundation on probability, calculus, and other mathematical concepts to understand the algorithms and data models used in data science.2. Advanced Programming Skills: In order to manipulate and analyze large data sets, a data scientist should know at least one programming language such as Python, R, or MATLAB.3. Data Visualization and Communication: Being able to effectively communicate the findings from data analysis is important for a data scientist. Knowledge of data visualization tools and techniques can help in presenting the data effectively.4. Machine Learning: Machine learning is at the heart of many data-driven decisions. A data scientist should have a good understanding of the principles of machine learning, including supervised and unsupervised learning, and the ability to implement these concepts.5. Domain Knowledge: A data scientist should have a strong understanding of the business or the specific field that they are working in. This knowledge will help them in asking the right questions and finding the most relevant data to analyze. . Response in Sesotho: 1. Tsebo ea Lipalo le Lipalo-palo: Setsebi sa tlhahisoleseling se tlameha ho ba le motheo o tiileng mabapi le monyetla, lipalo, le mehopolo e meng ea lipalo ho utloisisa algorithms le mehlala ea data e sebelisoang ho mahlale a data. 2. Tsebo e Tsoetseng Pele ea Lenaneo: E le ho laola le ho hlahloba lisebelisoa tse kholo tsa data, setsebi sa data se lokela ho tseba bonyane puo e le ngoe ea lenaneo e kang Python, R, kapa MATLAB. 3. Ponahalo ea Boitsebiso le Puisano: Ho khona ho buisana ka katleho ka liphuputso ho tsoa ho tlhahlobo ea data ke habohlokoa ho setsebi sa data. Tsebo ea lisebelisoa tsa pono ea data le mekhoa e ka thusa ho hlahisa data ka katleho. 4. Ho Ithuta ka Mochini: Ho ithuta ka mochini ke khubu ea liqeto tse ngata tse tsamaisoang ke data. Setsebi sa data se lokela ho ba le kutloisiso e ntle ea melao-motheo ea ho ithuta ka mochini, ho kenyeletsoa thuto e hlokometsoeng le e sa laoleheng, le bokhoni ba ho kenya tšebetsong mehopolo ena. 5. Tsebo ea Domain: Setsebi sa data se lokela ho ba le kutloisiso e matla ea khoebo kapa tšimo e itseng eo ba sebetsang ho eona. Tsebo ena e tla ba thusa ho botsa lipotso tse nepahetseng le ho fumana lintlha tse nepahetseng ka ho fetisisa tseo ba ka li hlahlobang. 