This course delves into sophisticated analytical methods, including predictive modeling, time-series forecasting, and anomaly detection. You'll learn to harness the power of AI to uncover hidden patterns and trends in complex datasets. The course covers text data analysis, enabling you to extract valuable insights from unstructured data sources.


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24 项作业
了解顶级公司的员工如何掌握热门技能

积累 Data Analysis 领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 通过 Microsoft 获得可共享的职业证书

该课程共有5个模块
Establish a structured data analysis workflow and harness the power of generative AI tools to streamline documentation, enhance efficiency, and make informed decisions throughout the process.
涵盖的内容
12个视频8篇阅读材料5个作业
Leverage generative AI models to analyze historical data, identify patterns, and generate accurate predictions for future trends and outcomes.
涵盖的内容
12个视频5篇阅读材料5个作业
Analyze sequential data to identify patterns and Predict future trends
涵盖的内容
9个视频5篇阅读材料4个作业1个讨论话题
Harness generative AI technologies to extract valuable insights from unstructured text data, including sentiment analysis and automated content generation.
涵盖的内容
6个视频5篇阅读材料5个作业
Apply generative AI algorithms to detect and analyze anomalies and outliers in datasets, enhancing data quality and uncovering potential issues
涵盖的内容
9个视频7篇阅读材料5个作业
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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