<prompt> Etsa lenane la litsebo tse hlokahalang bakeng sa rasaense ea data.nan  <response>: Instruction in English: Create a list of competencies necessary for a data scientist. . Response in English: A data scientist must possess a combination of skills and competencies across different domains, including but not limited to:1. Advanced knowledge of mathematics and statistics: A strong understanding of statistics is vital for cleaning and analyzing data, testing hypotheses, and interpreting results.2. Proficiency in programming languages: A data scientist must be proficient in languages such as R, Python, SQL, and SAS, for managing and analyzing large datasets, building models and visualizations.3. Machine learning: An understanding of machine learning techniques such as regression, classification, clustering, and neural networks is crucial for building predictive models.4. Data manipulation and cleaning: A data scientist must know how to manipulate and clean data to derive insights and ensure data quality.5. Data visualization skills: The ability to clearly and effectively communicate complex data insights through visual presentations is essential for data scientists.6. Big data platforms and tools: Familiarity with big data platforms like Hadoop and Spark, as well as cloud computing, can help data scientists manage and analyze large datasets.7. Business acumen: A data scientist must have an understanding of the industry and the business problem at hand, and be able to translate data insights into actionable business decisions.8. Communication and collaboration: The ability to communicate effectively with both technical and non-technical stakeholders, and to work collaboratively as part of a team is critical for data scientists.9. Problem-solving and critical thinking: A data scientist must possess strong problem-solving abilities and a critical thinking mindset to tackle complex, real-world data problems.10. Continuous learning: The field of data science is constantly evolving, and a good data scientist must be willing to continuously learn and stay up to date with new techniques, technologies, and best practices. . Response in Sesotho: Setsebi sa saense sa data se tlameha ho ba le motswako oa litsebo le bokhoni libakeng tse fapaneng, ho kenyeletsoa, empa ho sa felle feela ho: 1. Tsebo e tsoetseng pele ea lipalo le lipalo: Kutloisiso e matla ea lipalo-palo e bohlokoa bakeng sa ho hloekisa le ho sekaseka lintlha, ho etsa liteko tse inahaneloang, le ho hlalosa sephetho. 2. Tsebo ea lipuo tsa lenaneo: Setsebi sa data se tlameha ho ba le tsebo ea lipuo tse kang R, Python, SQL, le SAS, bakeng sa ho laola le ho hlahloba li-dataset tse kholo, mehlala ea mohaho le litšoantšo. 3. Ho ithuta ka mochini: Kutloisiso ea mekhoa ea ho ithuta ka mochini joalo ka ho khutlisa, ho hlopha, ho kopanya, le marang-rang a methapo ea kutlo ho bohlokoa bakeng sa ho aha mefuta e boletsoeng esale pele. 4. Ho qhekella le ho hloekisa data: Setsebi sa data se tlameha ho tseba ho laola le ho hloekisa data ho fumana lintlha le ho netefatsa boleng ba data. 5. Tsebo ea ho bontsa lintlha: Bokhoni ba ho buisana ka mokhoa o hlakileng le ka katleho lintlha tse rarahaneng tsa data ka liphatlalatso tsa pono ke tsa bohlokoa ho bo-rasaense ba data. 6. Lisebelisoa tse kholo tsa data le lisebelisoa: Ho tloaelana le lisebelisoa tse kholo tsa data tse kang Hadoop le Spark, hammoho le cloud computing, li ka thusa bo-rasaense ba data ho laola le ho hlahloba li-dataset tse kholo. 7. Tsebo ea khoebo: Setsebi sa data se tlameha ho ba le kutloisiso ea indasteri le bothata ba khoebo bo teng, mme a khone ho fetolela lintlha tsa data liqetong tsa khoebo tse ka etsoang. 8. Puisano le tšebelisano-moho: Bokhoni ba ho buisana ka katleho le ba amehang ka bobeli ba theknoloji le bao e seng ba thekenoloji, le ho sebetsa moho e le karolo ea sehlopha ke habohlokoa ho bo-rasaense ba data. 9. Ho rarolla mathata le ho nahana ka ho teba: Setsebi sa data se tlameha ho ba le bokhoni bo matla ba ho rarolla mathata le mohopolo o tebileng oa ho nahana ho sebetsana le mathata a rarahaneng, a sebele a lefatse. 10. Thuto e tsoelang pele: Lekala la saense ea data le lula le fetoha, me setsebi se setle sa rasaense se tlameha ho ikemisetsa ho tsoela pele ho ithuta le ho lula se le morao ka mekhoa e mecha, theknoloji le mekhoa e metle. 