解析数据分析的行业要求！了解澳洲数据分析市场，如何进行数据建模---澳洲四大银行之一主讲人：Ke HU，Westpac高级模型分析师

Dr. Ke Hu is a senior model analyst at Westpac, one of Australia's four largest banks, and holds a PhD in Communication and Data Analytics from the University of New South Wales (UNSW). The video details the current state of the Australian data analytics market, including the core skills required by companies for data analysts, such as data modeling, Python, SQL, and statistical analysis. It analyzes the specific needs and job requirements for data analytics talents in financial institutions, technology companies, and other fields. Ke Hu shares the basic steps of data modeling, including data cleaning, feature selection, model building, and result evaluation, and combines practical cases to demonstrate its important role in business decision-making. He particularly emphasizes how accurate modeling affects risk control, market analysis, and customer behavior prediction in the financial industry. For those who are considering entering the field of data analytics, Ke Hu provides practical advice, including how to master core skills through systematic learning, write an excellent resume, and prepare for interviews. He also encourages viewers to pay attention to industry trends and cultivate communication and cross-domain collaboration skills to adapt to changing market needs. This video provides valuable reference and learning resources for viewers who are considering entering the data analytics industry or want to improve their skills. Dr. Ke Hu's professional insights not only reveal industry needs and trends, but also point out the direction of career development for job seekers. At the same time, the data analysis course of the Artisan Academy, as an auxiliary tool for learning, further lowers the threshold for beginners to enter this field. This is a high-quality video with both theoretical depth and practicality, which is very suitable for viewers who are interested in the data analysis industry to watch and learn. Ke Hu 博士是澳大利亚四大银行之一 Westpac 的高级模型分析师，同时拥有新南威尔士大学（UNSW）的传播与数据分析博士学位。视频详细介绍了澳洲数据分析市场的现状，包括企业对数据分析师的核心技能需求，例如数据建模、Python、SQL 和统计分析能力。分析了金融机构、科技公司和其他领域对数据分析人才的具体需求和岗位要求。Ke Hu 分享了数据建模的基本步骤，包括数据清洗、特征选择、模型构建和结果评估，并结合实际案例展示其在商业决策中的重要作用。他特别强调了在金融行业中，精准的建模如何影响风险控制、市场分析和客户行为预测。 对于正在考虑进入数据分析领域的人士，Ke Hu 提供了实用建议，包括如何通过系统学习掌握核心技能、撰写优秀的简历以及准备面试。他还鼓励观众关注行业动态，培养沟通和跨领域协作能力，以适应不断变化的市场需求。 本视频为正在考虑进入数据分析行业或希望提升技能的观众提供了宝贵的参考和学习资源。Ke Hu 博士的专业见解不仅揭示了行业需求和趋势，也为求职者指明了职业发展的方向。同时，匠人学院的数据分析课程作为学习的辅助工具，进一步降低了初学者进入该领域的门槛。这是一部兼具理论深度与实用性的高质量视频，非常适合对数据分析行业感兴趣的观众观看学习。