Practical Data Science and Machine Learning

Applied data science, data analytics, big data, machine learning, and predictive analytics are recognized by employers across all industries and professions as having significant and growing societal importance to evidenced-based decision making and organizational performance.

The Certificate in Practical Data Science and Machine Learning is a four-course, fully online certificate that builds on the quantitative background from completing the Certificate in Data Analytics, Big Data and Predictive Analytics or acquiring previous industry experience (or equivalent).

The certificate will cover practical applications rather than theoretical knowledge, and will not overlap with the existing Master of Science (MSc) in Data Science and Analytics at Ryerson University.

You will learn to program queries in Python, and use machine learning and artificial intelligence (AI) platforms to implement the most up-to-date technical and analytic approaches, applications, big data tools, and software for querying big data, unstructured data, visual data, social media data, semi-structured data, and disparate data sets.

What You’ll Learn

• Construct big data analytics algorithms for solving real-world problems
• Infer the cause-and-effect of a set of features, other than ensuring the statistical correlation among them
• Support the processing of aggregate analytical queries in data warehouses
• Investigate the core components of neural networks and visualize their interaction
• Design evaluation strategies to generalize the power of a machine learning model and to overcome overfitting issues
• Map the statistical structure of natural language documents sufficient for applications including document classification, sentiment analysis, or question-answering