Introduction to Data Science with Python

This course will introduce the student to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and working with csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library, and introduce the Series and DataFrame abstraction as central data structures for data analysis, along with tutorials on how to effectively use functions such as groupby, merge, and pivot tables. By the end of the course, students will be able to take tabular data, clean it, manipulate it, and perform basic inferential statistical analysis. This course should be taken before taking any of the other Applied Data Science with Python courses: Applied Graphing, Charting, and Presentation with Python, Applied Machine Learning with Python, Applied Text Analytics with Python, Applied Social Media Analytics with Python.