[Training Benefits]

• Cultivate data analysis thinking and improve data sensitivity. In the past work, I have a certain data awareness and use data to deal with problems, but it is difficult to find laws and key elements from data, and it is impossible to make data a useful assistant for analyzing problems.
• Establish a systematic analysis framework. How to solve difficult problems is often based on experience, there are problems of omissions and unclear analysis, and there is a lack of a clear and effective analysis system and framework.
• Master common data analysis methods. In the process of daily data processing, it is often difficult to dig out the intrinsic value of data, and to provide business with effective insights and decision-making through data.

Speakers

Mr. Yao Xu

易迪思中国 金牌讲师

Mr. Yao Xu

易迪思中国 金牌讲师

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● 企业数字化转型&数据运营专家
● 工银瑞信商业分析经理，止观科技首席顾问，先后在网易、阿里担任数据分析专家
● 首创“数据思维力模型”、“数据驱动业务的六脉神剑”，畅销课《商业分析实战》课程讲师
● 对互联网行业数据驱动业务、金融行业数据思维打造、传统行业数字化转型有丰富实操经验
● 拥有多行业全套的数字化转型案例实操和数据驱动业务的工作经验，擅长提供B端&C端企业数据分析问题的全套解决方案。

快手、360、 四维图新、宝洁、欧莱雅、美的集团、同程艺龙、智联招聘、 广联达、一汽大众、Shopee、新氧等各行业客户。

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