Across the world, and industries, data science is in demand, and is receiving an increasing attention due to its research and application significance. Modern professionals are recognising the need to acquire skills in data science to stay relevant in the increasingly digital economy.
Across the world, and industries, data science is in demand and is receiving an increasing attention due to its research and application significance. Modern professionals are recognising the need to acquire skills in data science to stay relevant in the increasingly digital economy.
This introductory course provides a basic overview of data science which consists of data acquisition, data preparation, data analysis, data science modeling, and data visualisation. Participants can expect to learn the basic knowledge of data science and how data science can be applied in real life.
To go deeper into Data Science, you may wish to consider the ModularMaster in Data Science which covers a myriad of specialised topics in Data Science.
Learning Objectives:
SUTD is established to advance knowledge and nurture technically grounded leaders and innovators to serve societal needs.
Our Vision and Mission continue to drive us into our next phase of growth. Join us and support us in making an impact to student learning and development of breakthrough innovation.
We partner other universities to deliver a myriad of opportunities for our students, faculty, partners and staff. Collaborations cover the areas of developing and advancing curriculum, research and exchanges.
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This module introduces Big Data, a term which relates to the management and analysis of sets of data that are typically too large for traditional data-processing software.
The aim of this course is to introduce participants to programming using the Python programming language, with a specific focus on data science. This means the skills and knowledge required to conduct and problem solve data science experiments programmatically.
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