data.gov.sg

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Data explorer

SPsShortCourses.csv (364 rows, 193.8 KB)

Year Datetime (Year) "YYYY"	Course name Text (General)	Course description Text (General)	Reference Text (Url)
(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.3%
2022	Data Visualization With Tableau	This course aims to equip participants with the skills to easily create useful and interactive visualizations and dashboards for presentation and recommendations to stakeholders. They will learn how to achieve this using Tableau software.	https://www.sp.edu.sg/pace/courses/course-type/short-modular/data-visualization-with-tableau
2022	Fundamental Data Analysis Using Excel 2016	An understanding of how to apply most commonly used statistical and lookup functions. The ability to gather data and organize the data for analysis in business. Knowledge in chart generation and interpretation. The ability to build dashboards using PivotTables and PivotCharts. Skills in using Excel What-If Analysis and Data Analysis tools for generating different scenarios of business environment and aiding decision making.	https://www.sp.edu.sg/pace/courses/course-type/short-modular/fundamental-data-analysis-using-excel-2016
2022	Benefits of Using Analytics for Start-Ups and SMEs	The objective of this course is to provide an awareness of what are the capabilities that analytics provides and how those capabilities can be used in the SME context.	https://www.sp.edu.sg/pace/courses/course-type/short-modular/benefits-of-using-analytics-for-start-ups-and-smes
2022	Data Visualization with Python	The course aims to introduce participants to the data analytic and visualization workflow. Pandas and Seaborn will be used to perform statistical and visual analysis of data and incorporated into a Jupyter notebook. The course will emphasize on the skills needed in processing and understanding big data through visual analysis, the importance of reproducible research and communication and collaboration within data analytics teams.	https://www.sp.edu.sg/pace/courses/course-type/short-modular/data-visualization-with-python
2022	Amazon Web Services Cloud Computing Architecture	Cloud Computing Architecture is an AWS Academy curriculum designed to help students develop technical expertise in cloud computing and prepare them for the AWS Certified Solutions Architect �Associate certification exam. The curriculum is delivered through instructor-led classes, hands-on labs, and project work. Students have access to course manuals, online knowledge assessments, and hands-on labs.	https://www.sp.edu.sg/pace/courses/course-type/short-modular/amazon-web-services-cloud-computing-architecture
2022	Data Analytics for Industrial Applications	To provide participants with the necessary data analytics skills to analyse industrial data. The participants will be able to: 1. Develop models for predictive analysis in the industrial environment. 2. Apply trained models on offline data. 3. Apply trained models on streaming data to generate automated alerts.� 4. Apply analytics to industrial data, e.g., manufacturing location analysis, warranty analysis and root cause analysis.	https://www.sp.edu.sg/pace/courses/course-type/short-modular/open-for-register/data-analytics-for-industrial-applications
2022	Essential Statistical Analysis	This course aims to equip participants with basic understanding of the main statistical concepts using Excel and Minitab (Statistical Software systems). Participants will analyse and interpret sample datasets using Excel and Minitab applications to form insightful decisions and act as an informed consumer of data.	https://www.sp.edu.sg/pace/courses/course-type/short-modular/essential-statistical-analysis
2022	Visual Analytics using Power BI	This course aims to equip participants with basic understanding of data, linking data tables, create data models, use simple and advance level functions i.e. DAX, calculated measures, calculated columns, filters etc.	https://www.sp.edu.sg/pace/courses/course-type/short-modular/visual-analytics-using-power-bi
2022	Analytics for Educators I	This course is to enhance Educators� knowledge in quantitative analysis, salient and effective research methods and tools as they groom Leaders of the next generation. It seeks to address topics in quantitative research like prediction of students� test score, study of how effective new implements has been and as well, how to determine scales and measurements for psychometric analysis. This course also equipped Educators with the necessary skills and knowledge on how to distil factors affecting students� results and how to improve upon them.	https://www.sp.edu.sg/pace/courses/course-type/short-modular/analytics-for-educators-i
2022	Driving HR Innovation Through Design Thinking, HR Analytics and HR Technology (DHRI)	Highlight the opportunities on how HR practitioners can use the data from HR Analytics to identify opportunities for HR Innovation. Use Design Thinking methodologies redesign an enhanced HR user experience. Advocate the use of HR Technologies.	https://www.sp.edu.sg/pace/courses/course-type/short-modular/driving-hr-innovation-through-design-thinking-hr-analytics-and-hr-technology-(dhri)

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Title	Column name	Data type	Unit of measure	Description
Year	year	Datetime (Year) "YYYY"	-	-
Course name	course_name	Text (General)	-	-
Course description	course_description	Text (General)	-	-
Reference	reference	Text (Url)	-	-

Sample OpenAPI query

This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.

import requests
          
datasetId = "d_b4441d68ce973f949df9371bda50e0bf"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + datasetId 
        
response = requests.get(url)
print(response.json())

SP's Short Courses

Data explorer

SPsShortCourses.csv (364 rows, 193.8 KB)

Column legend

Sample OpenAPI query

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