从金融会计到数据分析师 ——澳洲商科背景的职业新视角 以及如何学习Python

本视频是一场内容丰富、实用性强的职业发展讲座，特别为希望转型进入数据领域的商科背景人士设计。两位资深讲师分享了从零基础开始学习Python到实际应用的完整路径，以及如何通过合理规划提升职业竞争力。 核心内容： 1. 职业迷思与突破：讲解商科学生常见的职业困惑，如如何选择Data Analyst或Business Analyst方向，并分析它们的核心技能要求。 2. 学习路径与资源： 系统化介绍Python作为入门语言的优势与适用场景，包括数据分析、Web开发、自动化等。 分享了丰富的学习资源，如官方教程、Python 100天项目、开源学习资料。 3. 行业需求与薪资解读：结合澳洲市场数据，展示Full Stack Developer、Data Scientist、Data Engineer等职位的薪资水平及就业前景，帮助观众了解行业趋势。 4. 实际应用案例：通过行业实例，展示如何使用Python进行数据分析和可视化，强调从简单到复杂逐步掌握技能的重要性。 5. 课程推荐与行动计划：详细介绍“Python入门班”的课程模块，包括Python基础、数据处理、Jupyter Notebook及实战项目，为学习者提供实用的学习计划。 适合人群： 无论你是刚毕业的商科学生，还是希望转型数据领域的职场人士，这场讲座都将为你提供清晰的学习方向与实操指导，让你在澳洲职场中脱颖而出。 This practical career lecture is tailored for business graduates looking to transition into data-driven roles. Two experienced instructors provide a comprehensive roadmap from learning Python basics to applying it in real-world scenarios, helping participants enhance their competitiveness in the job market. Key Highlights: Career Paths and Skills: Address common career dilemmas, comparing Data Analyst and Business Analyst roles, and outlining required core skills. Learning Resources: Highlight Python’s advantages for beginners in data analysis, web development, and automation, sharing resources like Python 100 Days projects and open-source materials. Industry Insights: Analyze Australian job market trends, including salaries and demand for roles like Full Stack Developer, Data Scientist, and Data Engineer. Practical Applications: Demonstrate Python use cases in data analysis and visualization, emphasizing incremental skill-building. Course and Plan Recommendations: Introduce the "Python Beginner Class," covering Python fundamentals, data processing, Jupyter Notebook, and hands-on projects to guide learners effectively. Who It’s For: Perfect for recent business graduates or professionals aiming to pivot into data roles, this lecture offers actionable insights and a clear roadmap to stand out in the Australian job market.