Applied Data Analytics and Business Intelligence
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Applied data analytics and business Intelligence can benefit organizations to make better business decisions including more accurate reporting and analysis, reducing operation costs, increasing revenue and improving employee and customer satisfaction.   Starting with relational database foundation and data tools such as Excel, SAS, Python, Tableau, Power BI and statistics, students will discover best industry practices, apply analytical techniques to mine big data, and respond to an increasing demand for insightful and actionable information to support faster and improved decision-making upon the certificate program completion.

Curriculum
Good teachers are the foundation of education
Introduction to RDBMS and Basic SQL Operations
Excel for Data Analytics
Python Programming for Data Analysis
Statistics Fundamentals by Python
Tableau/Power BI Visualization
Introduction to Data analysis in Marketing
System Security
Wireless Networks
Microsoft Active
Directory Services
Virtualisation
and Cloud
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Class Schedule

Total duration

10 weeks

Class

Weekend 6 hours

Total class hours:total 60 hours

Delivery Methods:Online,Onsite

Instructors
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Lily Wang
Data Scientist
- Expert in Artificial Intelligence with PhD in Bioinformatics and more than 15 years of experience developing machine learning methods in various fields across medical research, marketing and wealth management.  
- Have a passion for converting data into business value and an open mind to keep learning.
2
Teresa Wang
—10+ years expert in analytics function (Data Analytics, Data Science, Business Analytics, business Consulting) in banking,   clinical trails and academic research.
— Manager of Data Analytics and Insight in banking, working on machine learning modelling, data analysis for marketing, digital channel, and directing investment.
— Mathematics Master degree from top university in China and Statistical Master degree in Canada.
Manager In Data Analytics and Insight
3
Monica Zhang
- 10+ years High-tech and Banking industry knowledge and experience in data management and engineering
- Manager of Data Engineering in Banking Big data processing and Cloud migration
- Two Master degrees from top universities in both Computer Software and Computer Networking
- IEEE (Institute of Electrical and Electronics Engineers) Big Data Confluence Speaker
Data Engineer
3
Data Scientist
• Two master degrees in both of international finance and data mining from Canadian top universities
• Work as data scientist in in Canadian major banks with 15+ years of project management and hands-on experience in data analytics, data visualization and machine learning
•  Rich experience in various departments and industries, including financial securities, wealth management, target marketing and retail consultancy
Adam Liu
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4
Data Scientist
Henry Wang
PhD in Electrical and Computer Engineering with research focus on machine learning and optimization theory. 15-year research and development experience with 10+ publications in top IEEE journals and conferences.
Lead data scientist in Canadian major banks. Lead a team of data scientits and analytics experts on large scale data analytics projects including model development, automation data pipeline design, analtytis and insights deliverable, etc.
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