- Report Analyst

- Pricing Analyst

- Sales / Operation Analyst

- Junior Business / Financial Analyst

1) 短平快的課, 白天集中強化, 從技術實戰到簡歷面試，3個星期完成， 而其它課通常周末上需3個月。

2) 培訓所對應的數據分析師職位工作穩定，年薪4萬以上，職位符合留學生辦移民要求。

3) 課程時間靈活，隨時入學訓練，每個季度一期，全年至少四次。

4) 課上包含3個配套projects，真實項目活學活用, 文檔正規背景完善, 應對面試游刃有余。

5) 有專業的簡歷面試跟進，三周可投簡歷，保證100%面試機會，這是其它課無法保證的。

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。