视频简介
Deloitte senior analysts answered questions online to discuss employment issues in the field of data analysis in Australia. According to the introduction of guest speaker Nate, as a senior consultant of Deloitte, he has rich experience in data analysis, supplemented by a master's degree in statistics and a doctorate in behavioral economics. He answered the following questions in detail: 1. Can I work in a full-time and a part-time data analysis job at the same time? 2. What are the selection criteria for data analysis tools, such as when to choose Excel and when is it more appropriate to use Python? 3. How to prepare for the transition to the data analysis industry without a data analysis background? 4. Which field is easier to find a job in Australia, data analysis or full-stack web development? 5. As a consultant, how to get promotion opportunities through performance review? 6. Will the data analysis profession be replaced by AI technologies such as ChatGPT in the future? How do you view the impact of AI on the industry? 7. Does data analysis work pay more attention to the educational background of job seekers? 8. What does the GP indicator of data analysis projects represent, and are there any actual cases? 德勤高级分析师在线答疑，探讨澳洲数据分析领域就业问题。通过演讲嘉宾Nate的介绍，他作为德勤的高级顾问，拥有丰富的数据分析经验，并辅以统计学硕士及行为经济学博士学位，详细解答了以下问题： 1.是否可以同时从事一份全职和一份兼职的数据分析工作？ 2. 数据分析工具的选择标准，例如在什么情况下选择Excel，什么时候更适合使用Python？ 3. 在没有数据分析背景的情况下，如何准备转型进入数据分析行业？ 4. 数据分析和Web全栈开发哪个领域在澳洲更容易找到工作？ 5. 作为一名咨询顾问，如何通过表现评估（performance review）获得晋升机会？ 6. 数据分析职业未来是否会被ChatGPT等AI技术取代？如何看待AI对行业的影响？ 7. 数据分析工作是否更注重求职者的学历背景？ 8. 数据分析项目的GP指标代表什么，是否有实际案例？
