The Capstone project will allow you to continue to apply and refine the data analytic techniques learned from the previous courses in the Specialization to address an important issue in society. You will use real world data to complete a project with our industry and academic partners. For example, you can work with our industry partner, DRIVENDATA, to help them solve some of the world's biggest social challenges! DRIVENDATA at www.drivendata.org, is committed to bringing cutting-edge practices in data science and crowdsourcing to some of the world's biggest social challenges and the organizations taking them on.
This course is part of the Data Analysis and Interpretation Specialization
Data Analysis and Interpretation Capstone
Offered By
About this Course
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Learner Career Outcomes
50%
started a new career after completing these courses
33%
got a tangible career benefit from this course
Learner Career Outcomes
50%
started a new career after completing these courses
33%
got a tangible career benefit from this course
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Start instantly and learn at your own schedule.
Course 5 of 5 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 9 hours to complete
Suggested: 2 hours/week
English
Subtitles: English, German
Offered by
Wesleyan University
At Wesleyan, distinguished scholar-teachers work closely with students, taking advantage of fluidity among disciplines to explore the world with a variety of tools. The university seeks to build a diverse, energetic community of students, faculty, and staff who think critically and creatively and who value independence of mind and generosity of spirit.
Syllabus - What you will learn from this course
4 hours to complete
Module 1. Identify Your Data and Research Question
In this Module, your goal is to review the lectures and readings in the Overview of the Capstone Project, and 1) decide which data set you will use to complete your capstone project. In addition 2) identify your research question, 3) propose a title for your final report, and 4) complete Milestone Assignment 1 as described in the assignment. By the end of this Module you will have drafted a final report Title and Introduction to the Research Question. Your Introduction to the Research Question should include a statement of your research question, your motivation or rationale for testing the research question, and some potential implications of answering your research question.
4 hours to complete
5 videos (Total 17 min), 9 readings, 1 quiz
5 videos
Overview of Each Module and Assignments3m
Your Capstone Project3m
Writing Your Report: Title and Introduction5m
Writing Your Report: What to Avoid2m
9 readings
Read Me First10m
Industry Partner: DRIVENDATA10m
Industry Partner: The Connection10m
About the Assignments10m
Data Sets and Codebooks10m
Creating a Final Report10m
SAS and python code for sample final report10m
SAS Data Sets10m
Sample Final Report Data Set10m
2 hours to complete
Module 2. Data Management
In this Module, your goals are to 1) complete the majority of your data management so that you are ready to begin your preliminary statistical analyses; and 2) complete Milestone Assignment 2 as described in the assignment. By the end of this Module you will have drafted a final report Methods section. Your Methods section should include a description of your sample, measures, and the analyses you plan to use to test your research question.
2 hours to complete
1 video (Total 8 min)
1 video
2 hours to complete
Module 3. Exploratory Data Analysis
In this Module, your goals are to 1) explore your data more extensively through descriptive and basic statistical analyses and data visualization; and 2) complete Milestone Assignment 3 as described in the Assignment. By the end of this module, you will have begun to draft your final report Results section, including some figures.
2 hours to complete
1 video (Total 9 min)
1 video
2 hours to complete
Complete Your Final Report
In this Module, you 1) will complete your analyses; 2) finish writing your final report, and 3) submit your completed Final Report as the fourth and final assignment. A complete description of what is required for your final report and a detailed grading rubric can be found with the assignment; a sample final report is provided with the materials in the first module.
2 hours to complete
1 video (Total 6 min), 1 reading, 1 quiz
1 reading
Final Assignment Grading Rubric10m
Reviews
4.6
TOP REVIEWS FROM DATA ANALYSIS AND INTERPRETATION CAPSTONE
by YSJun 4, 2016
Great capstone course.\n\nThe instructor was always available for help and guidance throughout the course; she also held many Q&A live video conferences.\n\nI highly recommend taking the course.
by NOJun 18, 2017
Data Analysis and Interpretation Specialization is one of best courses on Coursera.
by YCDec 15, 2017
It really helped me applying what I've learned in the specialization.
About the Data Analysis and Interpretation Specialization
Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.
The 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.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
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