Week 4-11:课程的重点部分主要学习数学和数据相关的知识,包括数据分析监督式学习的基础常用模型和概念 (线性回归,逻辑回归,模型选择);其中Week 4深入浅出讲解数据库和SQL,是入门SQL语言的好机会;Week 8会讲到NLP(自然语言处理,处理文本信息),拓宽技术视角;Week 11探讨“大数据”的计算方法,面对巨量数据我们该如何应...
期末考试考察整学期内容,会涉及部分Python的知识点。根据六个学期的期末考题搜集,考试的不算超纲,但是要求对每个知识点深入掌握。 拿分情况 这门课成绩分布较为均衡,拿65-75难度并不是很大,主要因为assignment占比较高 (原因你懂的),但是75分以上的同学不是特别多,也就是好过但难拿很高的分数。 推荐总结 从一...
Combining Python and SQL for Database Design & Analytics When combining Python and SQL, most data science professionals will use the two with a SQL database that is compatible with both. SQLite and MySQL are commonly used to work with both Python and SQL. Acting as a database engine, SQLit...
You will work in an international team with some of the brightest minds on analyzing air quality data that matters for the corporate customers and millions of users around the world. The job consists of: - Data analytics from AirVisual air quality big data system ...
Understand data & analytics challenge faced by business to identify digital-enabled opportunities Work with key business stakeholders, BG digital head and other relevant digital/IT staff to co-define data & analytics strategy (e.g. prioritized value cases, data governance framework, analytic...
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Excel in Every Aspect of Data Analytics Boost Your Career with Data Analytics Explore Program 20. What is time series analysis? Time series analysis, or TSA, is a widely used statistical technique when working with trend analysis and time-series data in particular. The time-series data invol...
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• 1+ years experience relating to Python (R programming is a plus)• Proficient in and working experience with at least one visualization tool (such as Alteryx, Tableau, Power BI)• Data analytics experience with VBA, SQL is preferred• Knowledge in process mining is a plus• Strong...