Rutgers Classifieds>Rutgers Online Courses>Data Analysis and Interpretation

Data Analysis and Interpretation

About this Specialization

Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.\\n\\nThe Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world\'s biggest social challenges by joining one of their competitions, or help The Connection better understand recidivism risk for people on parole in substance use treatment. Regular feedback from peers will provide you a chance to reshape your question. This Specialization is designed to help you whether you are considering a career in data, work in a context where supervisors are looking to you for data insights, or you just have some burning questions you want to explore. No prior experience is required. By the end you will have mastered statistical methods to conduct original research to inform complex decisions.

Created by: Wesleyan University


Related Online Courses

This is an application-oriented course explaining the various aspects of power distribution, indoor and outdoor equipment up to 33kV. The course adopts a cross-disciplinary approach to ensure that... more
In this guided project we will learn about cross-functional work management and RACI charts. We will use Asana managing tasks, subtasks and assignees to implement RACI charts and practices in work... more
How did life emerge on Earth? How have life and Earth co-evolved through geological time? Is life elsewhere in the universe? Take a look through the 4-billion-year history of life on Earth through... more
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to connect Google Data Studio to Google BigQuery data tables, create charts, and explore the... more
How much can we know of the physical world? Can we know everything? Or are there fundamental limits to how much we can explain? If there are limits, to what extent can we explain the nature of... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL