【主讲人】Daniel Qu(DQ)； 大师级的数据分析老师DQ，美国名校毕业，具有近20年的资深行业经验，历任多家著名企业的Resource Manager, Delivery Director, Head of PMO，也曾任北美上市公司VP，目前从事independent  consultant   & staffing (recruiting)工作，客户包括世界500强公司，加拿大五大银行等。仅2015年，培训的数据分析学生50多名学员成功就业，50%的学员一次性拿下面试。

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2007年以来我做职业规划，已经有10年了，接触好多来咨询的朋友，见证了很多成功，也看到很多失败。在这里我总结一下对大家找工作有帮助的经验供大家参考。首先回答几个我最经常回答的问题， 然后是一些有针对性的问题。

 

A: 这是一个完全没有营养的问题，这就象是在中国问 “我普通话讲不好，我可以申请这份工作嘛？” 。有这么多地方可以学英文，希望您把英文基本提高到一定程度然后再学习专业。可以这样说，你今天学任何专业都可能学错，钱都可能白花。唯有在英文方面的投资，每一分钱都值得。

 

 

A: 外面的就业市场其实和您是否能够找到工作关系不是很大。你需要的是尽快充实自己，积极的准备简历及面试。外面工作机会再少也是有的，问题是有一个机会给你，你能否抓住。一个准备好的candidate，一次性拿下面试的例子太多了。

 

A: 这要看你自己的学习刻苦程度。知识点就那么多，掌握了之后，就是简历和面试了。我所接触的大部分没有找到工作的朋友们，要么知识掌握的不到位，要么简历面试毫无章法。真正准备好但没有找到工作是不可能的。所以这是一个唯有你自己可以回答的问题。

 

A: 有没有经验其实并不重要，重要的是你要有足够的心理和经济上的准备。我见过学英文的，学旅游的，学新闻的都找到工作。共同点是这些人都是狠角色，对自己的要求严格毫不手软。

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- Report Analyst

 

- Pricing Analyst

 

- Sales / Operation Analyst

 

- Junior Business / Financial Analyst

 

 

1)    短平快的课, 白天集中强化, 从技术实战到简历面试，3个星期完成， 而其它课通常周末上需3个月。

 

2)    培训所对应的数据分析师职位工作稳定，年薪4万以上，职位符合留学生办移民要求。

 

3)    课程时间灵活，随时入学训练，每个季度一期，全年至少四次。

 

4)    课上包含3个配套projects，真实项目活学活用, 文档正规背景完善, 应对面试游刃有余。

 

5)    有专业的简历面试跟进，三周可投简历，保证100%面试机会，这是其它课无法保证的。

 

Intermediate Data Analysis with MS-Excel and SQL

Objective: As a matter of the fact, MS-Excel is the most popular tool in data analysis and SQL is the most standard language to be used across all databases. The course tries to demonstrate the power of combining MS-Excel and SQL to perform an intermediate level data analysis regarding to different business purposes. This course is the foundation for all the other Data Analysis courses.

 

Introduction to Data Mining in Marketing 

Objective: Marketing as a function unit exists in every organization regardless its' operational size, the type of business nor the industry it sits. Among the marketing activities, the core is to identify customer, forecast/estimate customer value, earn customer return business...... To be more efficiently achieve above goals, a set of data mining skills/methods are applied; and this is where a data analyst normally starts his/her career. The course serves an introduction and guidance for entry level data analyst.

Data Analysis Hands-on Practice

Objective: By knowing the knowledge and theory, you get familiar with Data Analysis domain; but you are still not sure how to demonstrate a project during the interview - the missing puzzles are  where, when and how to work on a real world case. Within this course, we will start from setting up working environment, knowing most common tools, and working on some real cases.  By the end of the course, you will have several project summary reports in hands for both learning and interview purpose

 

Objective:

In Canada,leading companies in the financial, healthcare, telecom and retail industriesall have become increasingly engaged with data driven decision making over thepast 3-5 years. In the data analysis job market, SAS programming is the most sought-aftertechnical skills. As a high-level programming language, it is relatively easyto learn for students without programming experience. This 80-hour trainingcourse will help students:

 

Objective: By knowing the knowledge and theory, you get familiar with DataAnalysis domain; but you are still not sure how to demonstrate a project duringthe interview - the missing puzzles are  where, when and how to work on a real world case. Within thiscourse, we will start from setting up working environment, knowing most commontools, and working on some real cases. By the end of the course, you will have several project summary reportsin hands for both learning and interview purpose。

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