Data Analysis and Interpretation Specialization

Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

Dive deep into the world of data with the Data Analysis and Interpretation Specialization, brought to you by Wesleyan University. This comprehensive program empowers you to unlock the secrets hidden within data, transforming you from a data novice to a skilled analyst in just four project-based courses.

Completely Free, this specialization offers you the flexibility to choose your preferred data science tools. Master the art of data management, visualization, modeling, and machine learning using either SAS or Python (including Pandas and Scikit-learn).

Throughout the specialization, you’ll embark on a journey of discovery, analyzing a research question of your choosing and summarizing your insights. Your skills will be put to the test in a compelling Capstone Project, where you’ll use real data to tackle a pressing societal issue and present your findings in a professional report.

Collaborate with industry partners like DRIVENDATA and The Connection, contributing to their impactful initiatives. Participate in DRIVENDATA contests to help solve global social challenges or assist The Connection in understanding recidivism risks for individuals in substance abuse treatment.

This specialization is ideal for anyone interested in a data-driven career, professionals seeking to enhance their data insights, or individuals with burning questions waiting to be explored. No prior experience is required, as you’ll gain mastery over statistical methods for conducting original research and making informed decisions.

This course is available on platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more.

Show More

What Will You Learn?

  • Learn the required skills from university and industry experts
  • Master a topic or tool with hands-on projects
  • Develop a deep understanding of key concepts

Course Content

01. data-visualization

  • A Message from the Professor
  • 003 01_welcome-video.mp4
    00:00
  • 006 02_video-lesson-steps-in-data-analysis.mp4
    00:00
  • 009 01_video-lesson-what-do-we-mean-by-data.mp4
    00:00
  • 024 02_course-data-sets_instructions.html
    00:00
  • 028 03_getting-set-up-for-the-assignments_instructions.html
    00:00
  • 029 04_tumblr-instructions_instructions.html
    00:00
  • 030 05_getting-your-research-project-started_peer_assignment_instructions.html
    00:00
  • 031 06_troubleshooting-your-tumblr-assignment-blog-link_instructions.html
    00:00
  • 033 01_choosing-sas-or-python_instructions.html
    00:00
  • 036 02_getting-started-with-sas_instructions.html
    00:00
  • 038 03_getting-started-with-python_instructions.html
    00:00
  • 040 04_codebook-for-video-examples_instructions.html
    00:00
  • 041 05_sas-program-for-video-examples_instructions.html
    00:00
  • 043 06_python-program-for-video-examples_instructions.html
    00:00
  • 046 07_uploading-your-own-data-to-sas_instructions.html
    00:00
  • 050 01_sas-lesson-1-defining-exploratory-data-analysis.mp4
    00:00
  • 053 02_sas-lesson-2-sas-coding-conventions.mp4
    00:00
  • 056 03_sas-lesson-3-running-your-program-and-examining-frequency-distribution.mp4
    00:00
  • 059 04_sas-lesson-4-refining-your-research-question-by-selecting-rows.mp4
    00:00
  • 062 01_python-lesson-1-defining-exploratory-data-analysis.mp4
    00:00
  • 065 02_python-lesson-2-python-coding-conventions.mp4
    00:00
  • 068 03_python-lesson-3-running-your-program-and-examining-frequency-distributions.mp4
    00:00
  • 071 04_python-lesson-4-refining-your-research-question-by-selecting-rows.mp4
    00:00
  • 072 01_running-your-first-program_peer_assignment_instructions.html
    00:00
  • 073 02_assignment-sample_instructions.html
    00:00
  • 074 01_sas-program-for-video-examples_instructions.html
    00:00
  • 076 02_python-program-for-video-examples_instructions.html
    00:00
  • 079 03_codebook-for-video-examples_instructions.html
    00:00
  • 082 01_sas-lesson-1-setting-aside-missing-data.mp4
    00:00
  • 085 02_sas-lesson-2-coding-in-valid-data-and-recoding-values.mp4
    00:00
  • 088 03_sas-lesson-3-creating-secondary-variables.mp4
    00:00
  • 091 04_sas-lesson-4-grouping-variables-within-individual-variables.mp4
    00:00
  • 094 01_python-lesson-1-setting-aside-missing-data.mp4
    00:00
  • 097 02_python-lesson-2-coding-valid-data-and-recoding-values.mp4
    00:00
  • 100 03_python-lesson-3-creating-secondary-variables.mp4
    00:00
  • 103 04_python-lesson-4-grouping-values-within-individual-variables.mp4
    00:00
  • 104 01_making-data-management-decisions_peer_assignment_instructions.html
    00:00
  • 105 02_assignment-sample_instructions.html
    00:00
  • 107 01_graphing-decisions-flowchart_instructions.html
    00:00
  • 108 02_sas-programs-for-video-examples_instructions.html
    00:00
  • 110 03_python-programs-for-video-examples_instructions.html
    00:00
  • 113 04_codebooks-for-video-examples_instructions.html
    00:00
  • 116 01_sas-lesson-1-graphing-individual-variables.mp4
    00:00
  • 119 02_sas-lesson-2-describing-distributions-visually.mp4
    00:00
  • 122 03_sas-lesson-3-measures-of-center-and-spread.mp4
    00:00
  • 125 04_sas-lesson-4-designing-the-role-each-of-your-variables-will-play.mp4
    00:00
  • 128 05_sas-lesson-5-graphing-decisions-categorical-response-variables.mp4
    00:00
  • 131 06_sas-lesson-6-graphing-decisions-quantitative-response-variable.mp4
    00:00
  • 134 01_python-lesson-1-graphing-individual-variables.mp4
    00:00
  • 137 02_python-lesson-2-describing-distributions-visually.mp4
    00:00
  • 140 03_python-lesson-3-measures-of-center-and-spread.mp4
    00:00
  • 143 04_python-lesson-4-designing-the-role-each-of-your-variables-will-play.mp4
    00:00
  • 146 05_python-lesson-5-graphing-decisions-categorical-response-variables.mp4
    00:00
  • 149 06_python-lesson-6-graphing-decisions-quantitative-response-variable.mp4
    00:00
  • 150 01_creating-graphs-for-your-data_peer_assignment_instructions.html
    00:00
  • 151 02_assignment-sample_instructions.html
    00:00
  • 153 01_how-to-write-a-literature-review_instructions.html
    00:00
  • 154 02_translation-code_instructions.html
    00:00
  • 157 03_acknowledgments_instructions.html
    00:00
  • Section Quiz

02. data-analysis-tools

03. regression-modeling-practice

04. machine-learning-data-analysis

05. data-analysis-capstone

Earn a certificate

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

selected template

Student Ratings & Reviews

No Review Yet
No Review Yet

Want to receive push notifications for all major on-site activities?

×