Data Analysis and Interpretation Specialization
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.
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.