Post Diploma Certificate in Data Preparation & Modelling and Machine Learning - Part of Specialist Diploma in Data Analytics (SDDA1)
Training Provider: Ngee Ann Polytechnic
Course Reference: TGS-2023040956
S$4,560
About This Course
This Post-Diploma Certificate (PDC) in Data Preparation & Modelling and Machine Learning comprises two modules: Data Preparation & Modelling and Machine Learning.
What You'll Learn
In the Data Preparation & Modelling module, you will:
1. Gain essential skills and techniques for effective data preparation and modelling.
2. Achieve proficiency in data modelling, manipulation, cleaning, and transformation.
3. Ensure data quality and integrity through best practices.
4. Efficiently transform data and build accurate models.
5. Derive valuable insights to support data analytics and decision-making roles.
In the Machine Learning Module, you will:
1. Understand the fundamentals of Machine Learning (ML) and its applications.
2. Gain essential statistical knowledge to support your ML learning.
3. Explore supervised and unsupervised learning models like Linear & Logistic Regression, Decision Trees, and K-means Clustering.
4. Implement and train ML models using leading software and libraries to solve business challenges.
1. Gain essential skills and techniques for effective data preparation and modelling.
2. Achieve proficiency in data modelling, manipulation, cleaning, and transformation.
3. Ensure data quality and integrity through best practices.
4. Efficiently transform data and build accurate models.
5. Derive valuable insights to support data analytics and decision-making roles.
In the Machine Learning Module, you will:
1. Understand the fundamentals of Machine Learning (ML) and its applications.
2. Gain essential statistical knowledge to support your ML learning.
3. Explore supervised and unsupervised learning models like Linear & Logistic Regression, Decision Trees, and K-means Clustering.
4. Implement and train ML models using leading software and libraries to solve business challenges.
Entry Requirements
A recognized local Polytechnic Diploma or Degree in any discipline or at least one (1) year of relevant work experience.
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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