Python Programming for Data Science - Part 1

Data science is a discipline that uses scientific methods, processes and algorithms to extract meaningful information, knowledge and insights from structured and unstructured data.The aim of this course is to provide an introduction to programming for data science, using the Python programming language. The course seeks to introduce the basics of the data science process, from collecting data, pre-processing it (cleaning/correcting it), performing exploratory data analyses, visualizing data, and sharing analysis results.In order to complete the assignment (and in order to get the full benefit from the course), students will need access to a computer capable of running the open-source software used in the course and access to the Internet. A limited amount of class time will be allocated to working on the class assignment, so students should ensure that they have access to a computer outside of class.The course will rely on Jupyter Notebooks for interactive Python programming as they are widely used in Data Science.Before attending this course, prospective students will know:the fundamentals of linear algebra: what is a matrix and how matrix addition and multiplication are performed;the following fundamental concepts of statistics: mean, median, variance and standard deviation, interquartile range; the fundamentals of algebra: real and complex numbers, exponential and logarithm, and trigonometric functions.