<prompt> Etsa lethathamo la lipotso tsa lipuisano bakeng sa boemo ba Data Scientistnan  <response>: Instruction in English: Create a set of interview questions for a Data Scientist position . Response in English: 1. Can you tell us about your experience working with large datasets and how did you handle, process and analyze them? 2. Can you walk us through a recent data science project you worked on? How did you approach the problem and what was the outcome? 3. What experience do you have with data visualization and software tools such as Tableau, Plotly, or Seaborn? 4. Could you tell us how you handle missing data and address data quality issues? 5. Can you explain a complex machine learning algorithm to someone without a technical background? Please give an example.6. Have you worked with deep learning techniques before? Could you tell us about a project or task where you implemented them? 7. What is your approach to evaluating the performance of predictive models?8. Can you describe your experience implementing and deploying data science models into production?9. What is your experience with big data tools such as Hadoop, Spark or AWS? 10. How do you stay up to date with the latest technologies and techniques within the data science field? . Response in Sesotho: 1. Na u ka re bolella ka phihlelo ea hau ea ho sebetsa le li-dataset tse kholo le hore na u li sebetsa joang, ua li sebetsa le ho li hlahloba joang? 2. Na u ka re tsamaisa ka morero oa morao-rao oa saense oa data oo u o sebelitseng? U ile ua sebetsana le bothata joang, me phello e bile efe? 3. U na le boiphihlelo bofe ka pono ea data le lisebelisoa tsa software tse kang Tableau, Plotly, kapa Seaborn? 4. Na u ka re bolella kamoo u sebetsanang le litaba tse sieo le ho rarolla mathata a boleng ba data? 5. Na u ka hlalosetsa motho ea se nang semelo sa theknoloji ka mokhoa o rarahaneng oa ho ithuta mochine? Ke kopa o fane ka mohlala. 6. Na u kile ua sebetsa ka mekhoa e tebileng ea ho ithuta pele? Na u ka re bolella ka morero kapa mosebetsi oo u o kentseng tšebetsong? 7. Mokhoa oa hau oa ho lekola tsebetso ea mehlala e boletsoeng esale pele ke ofe? 8. Na u ka hlalosa phihlelo ea hau ea ho kenya tsebetsong le ho tsamaisa mehlala ea saense ea data tlhahisong? 9. Boiphihlelo ba hau ke bofe ka lisebelisoa tse kholo tsa data tse kang Hadoop, Spark kapa AWS? 10. U lula u le haufi le theknoloji le mekhoa ea morao-rao joang lefapheng la saense ea data? 