<prompt> Hlalosa bothata bo atileng boo bo-ramahlale ba data ba tobanang le bonanan  <response>: Instruction in English: Describe a common problem that data scientists face . Response in English: One common problem that data scientists face is dealing with imperfect or incomplete data. This could occur in several ways - either there are missing values, errors, or inconsistencies present within the data itself, or the data may be biased or not representative of the population being studied. This can lead to inaccurate or misleading findings and requires data scientists to dedicate a significant amount of time to cleaning, preprocessing and validating the data before they can begin their analysis. The process can be time-consuming and challenging, but is critical to ensuring the reliability of results and making informed data-driven decisions. . Response in Sesotho: Bothata bo bong bo tloaelehileng boo bo-rasaense ba data ba tobanang le bona ke ho sebetsana le data e sa phethahalang kapa e sa phethahalang. Sena se ka etsahala ka litsela tse maloa - ebang ho na le litekanyetso tse sieo, liphoso, kapa ho se lumellane ho teng ka hara data ka boeona, kapa data e ka ba leeme kapa e se moemeli oa sechaba se ithutoang. Sena se ka lebisa ho liphuputso tse fosahetseng kapa tse khelosang me se hloka hore bo-rasaense ba data ba fane ka nako e ngata ea ho hloekisa, ho lokisa le ho netefatsa lintlha pele ba ka qala tlhahlobo ea bona. Tsebetso e ka nka nako ebile e thata, empa e bohlokoa ho netefatsa ho tsepahala ha sephetho le ho etsa liqeto tse tsamaellanang le data. 