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 Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark,... more
Imagine having a rental company, in this case bike rental company, and having problems with managing the company\'s data. We can help you with that! You can make your life easier with no-code or... more
To reach your goal of becoming a Career Coach or Navigator, you have learned about relationship management and human-centered career coaching in course 1 and gained skills to recruit and work with... more
In this project you will draw a wireframe for an internal news and communications business app in Wireframe.cc, define user personas, drawing elements, menus, icons, using color coding... more
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you perform basic configuration tasks within a Chronicle environment instance.Created by: Google Cloud more