Upon completing the course, you will be able to:
Be familiar with the entire procedure of conducting a data analysis project
Confidently perform exploratory data analysis using Python's Scipy/Numpy libraries as well visualization tools
Prepare data for complex statistical analysis by working with SQL databases, complex joins/merging using Python's Pandas library
Build statistical inference models with regression, bayesian methods as well as clustering techniques
Data visualization and presentations with Python's matplotlib, Bokeh, Plotly libraries
Gain enough statistical foundations to move on to more advanced courses such as Machine Learning
It is hard, but you can make it. Plus, we're here to help.
Data Scientist, the Globe and Mail
Rex Liu has years of experience as data engineer/data scientist at BlackBerry and The Globe and Mail. He is experienced with big data analytics by working with substantial amounts of unstructured, heterogeneous data in research-driven and business-driven projects. He builds machine learning and statistical analysis models that become crucial parts of business decision making. Rex has earned a master of science degree in computer science, focusing on machine learning and natural language processing (NLP) from the University of Ottawa. During his study, he published research papers in international academic conferences, covering such fields as language modelling, deep learning, and social media data mining.