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Data Wrangling - Part of Post Diploma Certificate in Data Wrangling and Descriptive Analytics (SDDA)

Training Provider: Ngee Ann Polytechnic
Course Reference: TGS-2023020446
S$2,528

About This Course

The aim of this module is to equip participants with the tools and skills sets to handle, clean and prepare large curated data sets for data analytics purposes. Participants of this module should minimally have basic programming knowledge and be able to understand and decipher simple syntaxes. The processed data sets will allow for meaningful statistical analysis, data modelling, and machine learning to be easily performed. Emphasis will be placed on the Extraction, Transformation, and Loading (ETL) of data sets. The use of relevant programming libraries for Missing and Time Series Data will also be explored. Learners will experience the process of exploratory data analysis, normalization of data and data distribution, which will be crucial for subsequent understanding of machine learning concepts and models.

What You'll Learn

Data Wrangling - Part of Post Diploma Certificate in Data Wrangling and Descriptive Analytics (SDDA) is a 75 hrs module. This module equips participants with the tools and skills sets to handle, clean and prepare large curated data sets for data analytics purposes. Participants of this module should minimally have basic programming knowledge and be able to understand and decipher simple syntaxes. The processed data sets will allow for meaningful statistical analysis, data modelling, and machine learning to be easily performed. Emphasis will be placed on the Extraction, Transformation, and Loading (ETL) of data sets. The use of relevant programming libraries for Missing and Time Series Data will also be explored. Learners will experience the process of exploratory data analysis, normalization of data and data distribution, which will be crucial for subsequent understanding of machine learning concepts and models.

Entry Requirements

A recognized local Polytechnic Diploma or Degree in any discipline or at least one (1) year of relevant work experience.

Course Details

Duration 75 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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