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DATA SCIENCE AND APPLICATION

PROGRAM DESCRIPTION

This Data Science training program, offered in Greater Toronto Area, Ontario, Canada, provides students with knowledge of data analytics and statistics and the skills as a data analyst /data scientist. In other words, they will learn the in-depth statistics knowledge and how to use SQL, SAS, R and Python in data science/data analysis projects. This data science program also covers big data and Hadoop, machine learning, data mining and advanced statistical modeling. The mini projects and the final project in this data analysis course will offer students a great opportunity to apply their statistical knowledge and data analysis skills to resolve practical problems. Instructors have successful work experience in this field and excellent teaching experience as well. Upon successful completion of this data analysis course, students will be awarded an advanced diploma. Therefore they will be competent in many data science and data analysis positions such as data scientist, data analyst, data engineer…

DATA SCIENCE COURSE MODULES

Introduction to Data Science
SQL Programming
Fundamentals of SAS Programming
Advanced SAS Programming
Fundamentals of Data Analytics and Statistics
R for Data Analytics
Data Mining- Advanced Statistical Modeling

Python for Data Analytics
Big Data Analysis and Application
Machine Learning
Business Analytics
Data Science Projects
Professional Development

CAREER PROSPECTS UPON GRADUATION AFTER DATA SCIENCE TRAINING

Data Scientist
Data Analyst
Credit Risk Analyst
Business Analyst
Campaign Analyst
Customer Segmentation Analyst
Pharmaceutical Data Analyst
Public Health Data Analyst
And more

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Provincial Funding

Looking for student aid options offered by your local province? Choose your province of residence below to check out provincial funding options such as grants, loans, scholarships, and bursaries.

* All student funding, whether made available privately or through various government branches, is only approved to those who qualify, by the original source of funding. There are many criteria that each candidate must meet to be approved. Schools can only inform you of what may be available.