Course Overview
The course will provide students a basic understanding of Data Analytics using Python. Students wanting to enrol in this course should have attended the course Introduction to Coding
Who Should Attend
IT personnel
Course Duration
8 hours
Certification Obtained and Conferred by
- What is Data Analytics
o Identify the main outcomes of Data Analytics
o Identify skill sets an Analytics Expert has
o Define Data Analytics
o Contrast Data Analytics with Business Analytics
o Differentiate between Descriptive, Diagnostic, Predictive and Prescriptive Analytics
o Describe CRISP-DM as an Analytics Methodology
- Data Understanding
o Explain what Data Understanding is
o Identify Data Characteristics and Classifications
o Explain and Execute Identification of Important Features using statistical tests
- Data Preparation
o Describe the Inputs required for Data Modelling
o Explain and Execute strategies for Data Preparation
Modelling
o Describe Supervised Learning and Clustering
o List the steps for Supervised Learning
o List and Describe Common Models used in Industry
o Compare advantages and disadvantages of different models
o Execute an example of Supervised Learning
o Execute an example of Clustering
o Describe the measurements used to evaluate models
o Describe and execute cross-validation
o Apply and Execute the model on new data
- Common Analytics Traps
o Describe common Analytics Traps
Categories
More Information
- (Local Institution) NTUC LearningHub
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