Tell me the plot of Monster Inc story.In the Monster Inc story, the action takes place in Monstropolis. Monsters like Sulley and Mike work at Monsters, Inc. which is all about getting screams from human children. Sulley is the top scarer. One day, a door malfunctions and a human girl Boo enters their world. At first, they are scared because humans are considered toxic in their world. But Sulley grows to care for Boo. Randall, who is jealous of Sulley, tries to use Boo in a bad way. Mike and Sulley go through a lot of adventures to protect Boo and in the process, they discover that laughter is a better source of energy than screams. So, they change the whole business model of Monsters, Inc.
Cda data analystCDA (Certified Data analyst) was a new type of data analysis talent who specialized in data collection, cleaning, processing, analysis, business reports, and decision-making in the Internet, retail, finance, communications, medicine, tourism, and other industries.
CDA data analysts faced data analysis in the business workplace and were divided into three levels. In China, the certification examination was hosted by the Home of Management (formerly the People's Congress economic forum). Those who passed the examination could obtain the CDA data analyst certification certificate, which could be used as a reference for enterprises and institutions to select and hire professionals. Their jobs included managing data assets and other content, covering all the skills required by domestic companies to recruit data analysts, such as probability and statistics knowledge, software applications, data mining, database, data reporting, business applications, etc.
CDA stats analysts were divided into three levels:
- CD ALevel I: Business data analyst. It is suitable for front-end business personnel in the government, finance, communications, retail, and other industries, business personnel engaged in marketing, management, finance, supply, consulting, etc., and non-statistics, computer professional background, zero basic entry and transfer employment. Must master the theoretical basis of probability theory and statistics, be proficient in using professional analysis software such as Excel, SPSS, sos, etc., have good business understanding ability, be able to use common data analysis methods to process and analyze data according to business problem indicators, and draw a logical business report.
- CD ALevel II: Including modeling analysts and big data analysts. Requires at least one year of data analysis work experience, or at least half a year of CD A Level I certification. It specifically referred to people who specialized in data analysis and data mining or cloud big data in the government, finance, communications, retail, internet, e-commerce, medicine, and other industries. On the basis of Level I, it is required to master more theoretical knowledge, such as theoretical knowledge of multi-statistics, time series, data mining, etc., master advanced data analysis methods and data mining algorithms, be proficient in using at least one professional analysis software such as SPSS, acs, Matlab, R, etc., be familiar with the application of SQL to access enterprise database, extract relevant information from massive data in combination with business, and perform modeling analysis from different dimensions to form a data analysis report with strict logic that reflects the overall data mining process.
The CDA data analyst certification had certain advantages. For example, the difficulty was relatively low, and it could be passed in 2 - 3 months of review for college degree or above. It was suitable for self-study. The salary was relatively good. The salary during the internship trial period was about 8k-9k, and the monthly salary of 2 - 3 years of experience in first-tier cities was more than 20k. There was no mid-life crisis. The more you understood the business, the more opportunities you had to participate in decision-making. It was irreplaceable. The employment prospects were good. In the era of big data, corporate scientific decision-making was based on data mining and analysis, and its development depended on this.
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