Murtaza Haider is a professor of Data Science and Real Estate Management at Ryerson University. He also serves as the research director of the Urban Analytics Institute. Professor Haider holds an adjunct professorship of Engineering at McGill University. In addition, he is a Director of Regionomics Inc., a boutique consulting firm specializing in the economics of cities and regions. Dr. Haider is the author of Real Estate Markets: An Introduction (2020) and Getting Started with Data Science: Making Sense of Data with Analytics (2016). Professor Haider’s research interests include business analytics, data science, housing market dynamics, transport/infrastructure/urban planning, and human development in Canada and South Asia. Professor Haider is a syndicated columnist with Post Media. His weekly column on real estate markets appears nationally in The Financial Post and local newspapers including Ottawa Citizen, Vancouver Sun, Calgary Herald, Edmonton Sun, and Montreal Gazette. He also writes occasionally for The Globe and Mail and The Toronto Star. Murtaza Haider holds a Masters in transport engineering and a Ph.D. in Civil Engineering from the University of Toronto.
Coursera
Dive into the world of data analysis with our 'Statistics for Data Science with Python' course. Gain a solid understanding of statistical methods and their application in real-world scenarios. This hands-on course will teach you how to gather, summarize, visualize, and analyze data using Python and Jupyter Notebooks, essential skills for any aspiring data scientist.
Coursera
Dive into the world of data analysis with our Statistical Analysis Fundamentals using Excel course. Whether you're a business professional or a data enthusiast, this course will equip you with essential statistical tools to make informed decisions based on data. Learn how to analyze, visualize, and interpret data effectively using Microsoft Excel.
EdX
Discover the essential principles of statistics and apply them to real-world data analysis scenarios with our Introduction to Statistics for Data Science course. Gain practical knowledge in gathering, summarizing, visualizing, and interpreting data using Python as your toolset. Perfect for beginners looking to build a strong foundation in statistical methods crucial for data science.