What you will learn in this course?
• Introduction to Data Science in Python
• Applied Plotting, Charting & Data Representation in Python
• Applied Machine Learning in Python
• Applied Text Mining in Python
• Applied Social Network Analysis in Python
About this course
These courses introduce data science through the Python programming language to learners at the University of Michigan. This is for them who have basic skills in Python or another programming background. Courses1,2 and 3 should be taken in order and prior to any other course in the specialization. After completing those three courses, courses 4 and 5 can be taken in any order. To earn a certificate all 5 courses are required to be completed.
Introduction to Data Science in Python(Course1)-This course will introduce the learner to the basics of the Python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating CSV files, and the Numpy library.
Applied Plotting, Charting & Data Representation in Python(Course2)-This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the Matplotlib library.
Applied Machine Learning in Python(Course3)-This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods.
Applied Text Mining in Python(Course4)-This course will introduce the learner to text mining and text manipulation basics; an overview of the NLTK framework for manipulating text.
Applied Social Network Analysis in Python(Course5)-This course will introduce the learner to network analysis through tutorials using the NetworkX library.
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