Специализация Data Analysis and Interpretation

Начинается May 28

Специализация Data Analysis and Interpretation

Learn Data Science Fundamentals. Drive real world impact with a four-course introduction to data science.

Об этой специализации

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.

Автор:

Партнеры курса:

courses
5 courses

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projects
Проекты

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certificates
Сертификаты

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Курсы
Beginner Specialization.
No prior experience required.
  1. 1-Й КУРС

    Data Management and Visualization

    Upcoming session: May 28
    Выполнение
    4 weeks of study, 4-5 hours/week
    Субтитры
    English

    О курсе

    Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the question
  2. 2-Й КУРС

    Data Analysis Tools

    Upcoming session: May 28
    Субтитры
    English

    О курсе

    In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two po
  3. 3-Й КУРС

    Regression Modeling in Practice

    Выполнение
    4 weeks, 4 - 5 hours per week
    Субтитры
    English

    О курсе

    This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear
  4. 4-Й КУРС

    Machine Learning for Data Analysis

    Субтитры
    English

    О курсе

    Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yoursel
  5. 5-Й КУРС

    Data Analysis and Interpretation Capstone

    Current session: May 14
    Субтитры
    English, German

    О дипломном проекте

    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 wi

Авторы

  • Wesleyan University

    Wesleyan University is dedicated to providing an education in the liberal arts that is characterized by boldness, rigor, and practical idealism.

    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.

  • Lisa Dierker

    Lisa Dierker

    Professor
  • Jen Rose

    Jen Rose

    Research Professor

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