Applied Data Science with Python
About this Specialization
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.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.Created by: University of Michigan
Related Online Courses
This is a self-paced lab that takes place in the Google Cloud console. This lab will teach you how to use the Pipeline Studio in Cloud Data Fusion to build an ETL pipeline. Pipeline Studio exposes... more
If you are relatively new to the world of cloud computing, you might have come across a term JSON and not know what it is exactly. JSON stands for JavaScript Object Notation and is widely used to... more
What are people most afraid of? What do our dreams mean? Are we natural-born racists? What makes us happy? What are the causes and cures of mental illness? This course tries to answer these... more
This course will introduce age hardening and how to use a phase diagram to identify an alloy that is eligible for age hardening. The key factors that affect nucleation and crystal growth will be... more
Welcome to the \"Cross-Functional Collaboration\" course! This course focuses on the principles and strategies for collaborating effectively with colleagues from different functional areas. Through... more
Powered by
