- \n
- \n
Most of the course materials (slide decks, exercises, etc.) are linked from the\u00a0schedule<\/a>.<\/p>\n
\nHowever, weekly readings are not linked to the schedule and can be found below. If the link takes you to the Temple library, search for the article title.<\/p>\n
\nModule 1 and 2<\/strong><\/p>\n
Week 2<\/p>\n
- \n
- Dhar \u2013 2013 \u2013 Data science and prediction<\/a><\/li>\n
- Rock \u2013 2018 \u2013 A hypothesis can\u2019t be right unless it can be proven wrong\u00a0<\/a><\/li>\n
- Wikipedia \u2013 Survivorship bias<\/a><\/li>\n
- Ziemann et al. \u2013 2016 \u2013 Gene name errors are widespread in the scientific literature<\/a><\/li>\n<\/ul>\n
Week 3<\/p>\n
- \n
- Ball \u2013 2018 \u2013 \u2018News\u2019 spreads faster and more widely when it\u2019s false<\/a><\/li>\n
- Fenkel \u2013 2021 \u2013 The Most Influential Spreader of Coronavirus Misinformation Online<\/a><\/li>\n
- Hayes \u2013 2013 \u2013 In Data We Trust<\/a><\/li>\n
- Kaplan et al. \u2013 2021 \u2013 Is Confirmation Bias Guiding COVID Vaccine Recommendations?<\/a><\/li>\n
- Open Data Handbook \u2013 Why Open Data?<\/a><\/li>\n<\/ul>\n
Week 4<\/p>\n
- \n
- Unwin \u2013 2008 \u2013 Handbook of Data Visualization chapter<\/a><\/li>\n<\/ul>\n
Week 5<\/p>\n
- \n
- Davenport \u2013 2013 \u2013 Telling a story with data<\/a><\/li>\n
- Ritchie \u2013 What Is an Infographic?<\/a><\/li>\n<\/ul>\n
Module 3<\/strong><\/p>\n
Week 7<\/p>\n
- \n
- Moss \u2013 2021 \u2013 Five Times Excel Led to Disaster<\/a><\/li>\n
- Redman \u2013 2013 \u2013 Data\u2019s Credibility Problem<\/a><\/li>\n
- Rosenblum and Dorsey \u2013 2014 \u2013 Knowing Just Enough about Relational Databases<\/a><\/li>\n
- Tableau \u2013 Guide to data cleaning<\/a><\/li>\n<\/ul>\n
Week 8<\/p>\n
- \n
- IBM \u2013 2020 \u2013 What is ETL (Extract, Transform, Load)?<\/a><\/li>\n<\/ul>\n
Week 9<\/p>\n
- \n
- Aaltonen \u2013 2013 \u2013 The beauty and perils of metrics<\/a><\/li>\n
- Schambra \u2013 2013 \u2013 The Tyranny of Success<\/a><\/li>\n<\/ul>\n
Module 4<\/strong><\/p>\n
Week 11<\/p>\n
- \n
- CFI \u2013 Pivot Table Guide<\/a><\/li>\n
- Durcevic \u2013 2020 \u2013 Move Beyond Excel, PowerPoint & Static Business Reporting with Powerful Interactive Dashboards<\/a><\/li>\n<\/ul>\n
Week 12<\/p>\n
- \n
- Feldman \u2013 2013 \u2013 Techniques and applications for sentiment analysis<\/a><\/li>\n
- Grubbs et al. \u2013 2020 \u2013 Understanding Political Twitter<\/a><\/li>\n
- Hanna et al. \u2013 2021 \u2013 What is unstructured data?<\/a><\/li>\n<\/ul>\n
Week 13<\/p>\n
- \n
- Bertolucci 2013 \u2013 Big Data Analytics<\/a><\/li>\n
- Model Training with Machine Learning \u2013 Data Science Primer<\/a><\/li>\n
- UNSW \u2013 2020 \u2013 Descriptive, Predictive, Prescriptive Analytics<\/a><\/li>\n
- Vaughn-Nichols: Here’s how the data we feed AI …<\/a><\/li>\n
- Trotta: Generative AI for beginners<\/a><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"
Most of the course materials (slide decks, session recordings, exercises) are linked from the\u00a0schedule. However, weekly readings are not linked to the schedule and can be found below. If the link takes you to the Temple library, search for the article title. Most of the course materials (slide decks, exercises, etc.) are linked from the\u00a0schedule. […]<\/p>\n","protected":false},"author":15730,"featured_media":0,"parent":8,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"class_list":{"0":"post-107","1":"page","2":"type-page","3":"status-publish","5":"entry"},"_links":{"self":[{"href":"https:\/\/community.mis.temple.edu\/mis0855sec750fall2023\/wp-json\/wp\/v2\/pages\/107","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/community.mis.temple.edu\/mis0855sec750fall2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/community.mis.temple.edu\/mis0855sec750fall2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/community.mis.temple.edu\/mis0855sec750fall2023\/wp-json\/wp\/v2\/users\/15730"}],"replies":[{"embeddable":true,"href":"https:\/\/community.mis.temple.edu\/mis0855sec750fall2023\/wp-json\/wp\/v2\/comments?post=107"}],"version-history":[{"count":16,"href":"https:\/\/community.mis.temple.edu\/mis0855sec750fall2023\/wp-json\/wp\/v2\/pages\/107\/revisions"}],"predecessor-version":[{"id":2184,"href":"https:\/\/community.mis.temple.edu\/mis0855sec750fall2023\/wp-json\/wp\/v2\/pages\/107\/revisions\/2184"}],"up":[{"embeddable":true,"href":"https:\/\/community.mis.temple.edu\/mis0855sec750fall2023\/wp-json\/wp\/v2\/pages\/8"}],"wp:attachment":[{"href":"https:\/\/community.mis.temple.edu\/mis0855sec750fall2023\/wp-json\/wp\/v2\/media?parent=107"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
- Model Training with Machine Learning \u2013 Data Science Primer<\/a><\/li>\n
- Grubbs et al. \u2013 2020 \u2013 Understanding Political Twitter<\/a><\/li>\n
- Durcevic \u2013 2020 \u2013 Move Beyond Excel, PowerPoint & Static Business Reporting with Powerful Interactive Dashboards<\/a><\/li>\n<\/ul>\n
- Schambra \u2013 2013 \u2013 The Tyranny of Success<\/a><\/li>\n<\/ul>\n
- Aaltonen \u2013 2013 \u2013 The beauty and perils of metrics<\/a><\/li>\n
- Redman \u2013 2013 \u2013 Data\u2019s Credibility Problem<\/a><\/li>\n
- Ritchie \u2013 What Is an Infographic?<\/a><\/li>\n<\/ul>\n
- Davenport \u2013 2013 \u2013 Telling a story with data<\/a><\/li>\n
- Fenkel \u2013 2021 \u2013 The Most Influential Spreader of Coronavirus Misinformation Online<\/a><\/li>\n
- Rock \u2013 2018 \u2013 A hypothesis can\u2019t be right unless it can be proven wrong\u00a0<\/a><\/li>\n
- Dhar \u2013 2013 \u2013 Data science and prediction<\/a><\/li>\n