Class Data Science

Learn the main Python programming techniques and methods used by Data Scientists through practice Get a solid introduction to information visualisation theory, approaches and implementation techniques Understand the nature of data from a Data Science perspective Perform exploratory data analyses with implementation in Python Perform statistical inference through hypothesis testing Learn the most common mistakes and fallacies in statistics and how to avoid them Understand how a statistician or decision scientist thinks about solving problems with data Understand what is Machine Learning, Supervised vs. Unsupervised methods Understand and implement regression and classification methods in Data Science Learn the basics of information retrieval metrics for evaluating the performance of a classifier Understand and implement various methods of dimensionality reduction with various applications