{"id":1524,"date":"2023-04-16T13:50:16","date_gmt":"2023-04-16T06:50:16","guid":{"rendered":"https:\/\/bbs.binus.ac.id\/ibm\/?page_id=1524"},"modified":"2023-04-17T13:46:12","modified_gmt":"2023-04-17T06:46:12","slug":"data-analytics","status":"publish","type":"page","link":"https:\/\/bbs.binus.ac.id\/ibm\/data-analytics\/","title":{"rendered":"DATA ANALYTICS"},"content":{"rendered":"

\"\"<\/h4>\n

\n

Minor Description<\/h5>\n

The Data Analytics minor program provides insight into acquisitions and analysis of data in organizations by using critical thinking from multiple strategic perspectives, including consumer behaviour communicated through visualizations\/models that can support retrieval decisions.<\/p>\n

Career Options<\/h5>\n

Data Analyst, Marketing Analyst<\/p>\n

Features and Uniqueness<\/h5>\n

Have basic knowledge of Acquisition and analysis data, Predict consumer behaviour patterns and Design a data model\/visualization for retrieval decisions.<\/p>\n

Differences in the learning process (if any), for example, Creative Class, Smart Class, etc<\/h5>\n

The Data Analytics minor program uses a combination of models interactive learning using case-based learning and continuous project based on best practice companies that can improve students\u2019 understanding related to the implementation of data analysis.<\/p>\n

Alignment of Student Outcomes to Learning Objectives<\/h5>\n\n\n\n\n\n\n\n
Student Outcomes<\/strong><\/td>\nLearning Objectives<\/strong><\/td>\n<\/tr>\n
(SO 1) Able to explain market behavior to predict strategic decision<\/td>\n(L.Obj 1.1) Able to describe current market situation<\/td>\n<\/tr>\n
(L. Obj 1.2) Able to explain strategic decision based on current market situation<\/td>\n<\/tr>\n
(SO 2) Able to analyze business data to make an effective market prediction using data analytic tools<\/td>\n(L. Obj 2.1) Able to use Data Analytic tools<\/td>\n<\/tr>\n
(L. Obj 2.2) Able to analyze output data for business prediction<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\n

Students must take all fundamental courses to pass the minor program:<\/p>\n\n\n\n\n\n\n\n
Group<\/strong><\/td>\nCourse<\/strong><\/td>\nSCU<\/strong><\/td>\n<\/tr>\n
 <\/p>\n

MKB<\/td>\n

ISYS6680003<\/td>\nIntroduction to Data Analytics<\/td>\n2<\/td>\n<\/tr>\n
ISYS6681003<\/td>\nData Management & Descriptive Analytics<\/td>\n4<\/td>\n<\/tr>\n
STAT6198049<\/td>\nStatistical for Decision Making<\/td>\n4<\/td>\n<\/tr>\n
Total SCU<\/strong><\/td>\n10<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\n\n\n\n\n\n\n\n
\u00a0<\/strong><\/p>\n

Course Code<\/strong><\/td>\n

\u00a0<\/strong><\/p>\n

Course Name<\/strong><\/td>\n

\u00a0<\/strong><\/p>\n

SCU<\/strong><\/td>\n

\u00a0<\/strong><\/p>\n

Course <\/strong>Owner Dept.<\/strong><\/td>\n

SO1<\/strong><\/td>\nSO2<\/strong><\/td>\n<\/tr>\n
Lobj 1.1<\/strong><\/td>\nLobj 1.2<\/strong><\/td>\nLobj 2.1<\/strong><\/td>\nLobj 2.2<\/strong><\/td>\n<\/tr>\n
ISYS6680003<\/td>\nIntroduction to Data Analytics<\/td>\n2<\/td>\nInformation Systems<\/td>\nxx<\/td>\nxx<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
ISYS6681003<\/td>\nData Management & Descriptive Analytics<\/td>\n4<\/td>\nInformation Systems<\/td>\n<\/td>\n<\/td>\nx<\/td>\nxx<\/td>\n<\/tr>\n
STAT6198049<\/td>\nStatistical for Decision Making<\/td>\n4<\/td>\nStatistic<\/td>\n<\/td>\n<\/td>\nxx<\/td>\nx<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

Minor Description The Data Analytics minor program provides insight into acquisitions and analysis of data in organizations by using critical thinking from multiple strategic perspectives, including consumer behaviour communicated through visualizations\/models that can support retrieval decisions. Career Options Data Analyst, Marketing Analyst Features and Uniqueness Have basic knowledge of Acquisition and analysis data, Predict consumer […]<\/p>\n","protected":false},"author":7,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1524","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bbs.binus.ac.id\/ibm\/wp-json\/wp\/v2\/pages\/1524","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bbs.binus.ac.id\/ibm\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bbs.binus.ac.id\/ibm\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bbs.binus.ac.id\/ibm\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/bbs.binus.ac.id\/ibm\/wp-json\/wp\/v2\/comments?post=1524"}],"version-history":[{"count":2,"href":"https:\/\/bbs.binus.ac.id\/ibm\/wp-json\/wp\/v2\/pages\/1524\/revisions"}],"predecessor-version":[{"id":1584,"href":"https:\/\/bbs.binus.ac.id\/ibm\/wp-json\/wp\/v2\/pages\/1524\/revisions\/1584"}],"wp:attachment":[{"href":"https:\/\/bbs.binus.ac.id\/ibm\/wp-json\/wp\/v2\/media?parent=1524"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}