Applied Data Science with Python

University of Michigan via Coursera Specialization

Coursera Specialization based on 26 ratings

Likes

Overview

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting &...

Syllabus

Course 1: Introduction to Data Science in Python- Offered by University of Michigan. This course will introduce the learner to the basics of the python programming environment, including ... Enroll for free.Course 2: Applied Plotting, Charting & Data Representation in Python- Offered by University of Michigan. This course will introduce the learner to information visualization basics, with a focus on reporting and ... Enroll for free.Course 3: Applied Machine Learning in Python- Offered by University of Michigan. This course will introduce the learner to applied machine learning, focusing more on the techniques and ... Enroll for free.Course 4: Applied Text Mining in Python- Offered by University of Michigan. This course will introduce the learner to text mining and text manipulation basics. The course begins ... Enroll for free.Course 5: Applied Social Network Analysis in Python- Offered by University of Michigan. This course will introduce the learner to network analysis through tutorials using the NetworkX library. ... Enroll for free.