This Data Science and Application program equips students with knowledge in data analytics, statistics, and the skills needed as a data analyst or data scientist.
Since 2003, Metro College of Technology has trained and produced thousands of data analysts and data scientists in Canada through this Data Science and Application program.
This Data Science and Application program equips students with knowledge in data analytics, statistics, and the skills needed as a data analyst or data scientist. In essence, they will delve into in-depth statistics and learn how to utilize SQL, VBA Programming, SAS, R, and Python for data science and data analysis projects.
The program also covers data mining, advanced statistical modeling, big data analytics, and machine learning and deep learning. Additionally, students will gain expertise in organizing and presenting data analytics insights using Tableau.
The mini- and capstone projects within this data analysis course provide an excellent opportunity for students to apply their statistical knowledge and data analysis skills to solve practical problems. We are proud of our instructors. They have a strong educational background, successful work experience in this field, and excellent teaching expertise.
Upon successful completion of this data analysis course, students will be awarded an advanced diploma, making them competent candidates for various data science and data analysis positions such as data scientist, data analyst, and data engineer.
Our instructors are not only qualified professionals but also industry-specific experts. Every one of our programs is designed with input from industry leaders to prepare you with the industry know-how.
This program prepares you for a modern data scientist role. It covers the essential cloud computing and big data skills that a modern data scientist needs to grasp. It consists of courses designed with comprehensive lab activities and hands-on mini-projects.
The Data Science with Python course provides a complete overview of Data Analytics tools and techniques using Python. Learning Python is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlock your career as a Data Scientist.
The big data course teaches aspiring data engineers how to scale ETL pipelines using Spark in the Azure cloud. According to the job market report published by WeCloudData, engineers with big data skills earn higher average salary.
The Deep Learning Overview course is designed to give you a high-level understanding of what sort of problems deep learning can address and how deep learning can be practically integrated into products and businesses.
The main focus of the Big Data Analytics course is to assist individuals to gain crucial skills that can help in analyzing, processing, and storing large amounts of data so that relevant business decisions could be performed.
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