Artificial intelligence (AI) has the potential to automate certain tasks that are performed by data analysts, such as data cleaning, feature selection, and model selection. However, data analysts also perform other tasks that are difficult to automate, such as interpreting results, identifying patterns, and communicating findings to stakeholders. As AI technology continues to advance, it may be able to perform some of these tasks more effectively, but it is unlikely to completely replace data analysts. Instead, it is more likely that AI will augment the work of data analysts by assisting with the more repetitive and time-consuming tasks, allowing data analysts to focus on more complex and high-level tasks. Additionally, the field of data analytics is constantly evolving, new techniques and technologies are emerging, and data analytics are required to stay current and continuously learn new skills, which an AI model can't replicate. So, while AI may be able to automate certain asp...