Fundamentals of Data Mining
Training Provider: Singapore University of Social Sciences
Course Reference: TGS-2017506551
S$1,461
About This Course
1. Discuss various aspects of formulating data analytics solutions
2. Appraise the application of data analytics in a given context
3. Recommend appropriate analytics solutions in a given context
4. Construct analytics models/results as part of solutions to address business problems
5. Evaluate the performance of analytics models
6. Analyse the results or outputs of analytics models
What You'll Learn
Fundamentals of Data Mining (ANL303) introduces students to the process and applications of data mining. Students will learn to appraise possible data mining solutions to address different types of business problems. Apart from learning to explore and prepare data for mining, they will be equipped with the basic skills and knowledge in constructing, interpreting, and evaluating data mining results or models. They will also learn to apply data analytics using Python. Students with no prior knowledge of Python are strongly encouraged to complete Python for Data Analytics (ANL252) before taking this course. Non-Analytics students are strongly advised to complete BUS105 or a course that covers data analysis with the use of a statistical software before taking ANL303.
Course Details
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