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Data Analysis and Interpretation Capstone

Utilize advanced data analysis techniques to tackle real-world social challenges in collaboration with industry partners for impactful solutions.

Utilize advanced data analysis techniques to tackle real-world social challenges in collaboration with industry partners for impactful solutions.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Analysis and Interpretation Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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پښتو, বাংলা, اردو, 2 more

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Data Analysis and Interpretation Capstone

This course includes

8 Hours

Of Self-paced video lessons

Advanced Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Formulate research questions for real-world data analysis

  • Develop professional-quality data analysis reports

  • Apply comprehensive statistical analysis techniques

  • Create compelling data visualizations

  • Communicate findings effectively to stakeholders

Skills you'll gain

Data Analysis
Research Methods
Statistical Analysis
Report Writing
Data Visualization
Project Management
Professional Communication
Data Interpretation
Social Impact Analysis
Research Design

This course includes:

0.65 Hours PreRecorded video

1 peer review per milestone

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This capstone project offers students the opportunity to apply comprehensive data analysis skills to address real-world social challenges. Working with industry partners like DRIVENDATA or The Connection, learners develop a complete research project from question formulation through final analysis. The course emphasizes professional reporting and storytelling with data, culminating in a professional-quality report that demonstrates mastery of data analysis techniques and communication skills.

Module 1. Identify Your Data and Research Question

Module 1 · 2 Hours to complete

Module 2. Data Management

Module 2 · 2 Hours to complete

Module 3. Exploratory Data Analysis

Module 3 · 1 Hours to complete

Complete Your Final Report

Module 4 · 2 Hours to complete

Instructors

Jen Rose
Jen Rose

4.8 rating

6 Reviews

92,317 Students

4 Courses

Statistics Education Innovator Advancing Data-Driven Research Method

Jennifer Rose serves as Director of the Center for Pedagogical Innovation and Professor of the Practice at Wesleyan University's Quantitative Analysis Center. Along with colleague Lisa Dierker, she co-developed the "Passion-Driven Statistics" curriculum, which has transformed statistics education through project-based learning approaches. Her innovative teaching methods have earned multiple National Science Foundation grants to disseminate their educational model nationwide. As Director of the Institutional Review Board and Professor of the Practice in the Center for Pedagogical Innovation, she has significantly influenced how statistics is taught to undergraduate students. Her course "Intro to Statistical Consulting" provides students with real-world experience by connecting them with nonprofits for data analysis projects. Her work has extended the reach of this innovative teaching approach to thousands of students globally through online platforms and institutional partnerships.

Lisa Dierker
Lisa Dierker

4.8 rating

6 Reviews

92,317 Students

5 Courses

Pioneering Statistician Revolutionizing Undergraduate Data Science Education

Lisa Dierker, Professor of Psychology at Wesleyan University, has transformed statistical education through her innovative "Passion Driven Statistics" curriculum. Her expertise spans chronic disease epidemiology and advanced statistical methods, leading to significant National Science Foundation funding for developing accessible, project-based teaching approaches. Her collaborative work across disciplines including public health, medicine, engineering, and neuroscience has produced groundbreaking research while making statistics more engaging for diverse student populations. Through her leadership in curriculum development and cross-disciplinary research, she has significantly influenced how quantitative methods are taught at the undergraduate level, while maintaining active research in epidemiology and public health.

Data Analysis and Interpretation Capstone

This course includes

8 Hours

Of Self-paced video lessons

Advanced Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.