Our People And Committed To Employment Equity
PRINCIPLESOFDATAANALYTICS(Online)
“PRINCIPLES OF DATA ANALYTICS (On line) at Our People And Committed To Employment Equity. Skills: data mining, predictive analytics, IBM SPSS Modeler, supervised learning techniques, unsupervised learning techniques. teach data mining techniques. teach predictive analytics”
Industry & Context.
business problem-solving
What They're Looking For.
Must Have
Bachelor's degree in Business, Computer Science, Engineering, or related field, Demonstrated track record in professional or managerial roles involving data analytics, data mining, or technology-driven decision-making, Proficient in data mining and predictive analytics, Ability to teach both supervised and unsupervised learning techniques, including decision trees, neural networks, k-nearest neighbors, clustering, and association, Extensive experience with IBM SPSS Modeler, including stream creation, model building and evaluation, and applying CRISP-DM within the visual interface, Ability to apply analytical techniques to managerial contexts such as CRM, marketing, sales, credit scoring, and churn analysis, Solid understanding of data preprocessing, including data cleaning, transformation, and partitioning
Nice to Have
Master’s in Management or Engineering preferred, A Ph. D. is considered an asset, Experience as a CTO or equivalent leadership role in a data-intensive or tech-focused organization is highly desirable, Prior experience in post-secondary teaching or professional development instruction is preferred, Familiarity with tools such as RapidMiner, WEKA, and other data mining platforms, Knowledge of scripting or programming languages (e. g. , Python, R, SQL), Experience with integrating SPSS Modeler with business systems or databases, Knowledge of modern data analytics trends and use of visual programming tools in business intelligence
What You'll Do.
teach data mining techniques
teach predictive analytics
teach supervised and unsupervised learning techniques
apply analytical techniques to managerial contexts
How You'll Work.
Communication Scope
Competence in second language: Active
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