Data Science is an umbrella term that incorporates multiple disciplines, including data analytics, statistics, computing, machine learning, predictive analytics, text analytics and more.
DurationData Science is an umbrella term that incorporates multiple disciplines, including data analytics, statistics, computing, machine learning, predictive analytics, text analytics and more.
It is a forward-thinking approach that blends data extraction, preparation, exploration and machine learning with the aim of discovering hidden insights and predicting outcomes. Many organisations recognize the importance of Data Science in gaining a competitive edge. So, what skills do data scientists need? How does one get started with a data science project?
This course covers the fundamental skills needed to kick-start a data science project by using an open-source programming language. It focuses on how to read, explore, manipulate data and present data using the right visualisations.
There will be guided programming and participants will learn how to perform data exploration and analysis techniques to discover new knowledge from data to aid data-driven decisions in an intelligent and informed way.
At Temasek Polytechnic, we are held together by our long and proud history, which has given rise to values, traditions and events that make up the TP culture. The TP community is firmly bonded in a caring and vibrant environment that is passionate about creating a better tomorrow for everyone.
At TP, every student is given the opportunity to achieve their personal best. Our students are groomed to become values-led leaders with vision, character and heart, excelling beyond their academic pursuits.
We nurture them to become self-directed learners while equipping them with strong knowledge and skills foundations. In this way, they graduate as well-rounded, industry-ready professionals who can contribute meaningfully to the global community.
This course introduces the pivotal components of deep learning. You learn how to build deep feedforward, convolutional, and recurrent networks.
Participants will acquire the skills related to the implementation of unsupervised learning algorithms such as k-means clustering and other analytical methods such as correlation analysis and association rules to derive insights from their data.
Numerous organizations and individuals today are embarking on the journey of digital and data transformation. Business intelligence is the process of turning data into actionable insights that help a company accomplish its objectives.
The Artificial Intelligence module introduces the potential of artificial intelligence (AI) – the intelligence demonstrated by a machine when it perceives its environment and takes actions that maximise the likelihood of achieving specific goals.
Tired of struggling with countless complex Excel reports which contain hundreds of formulas, not to mention the headache of trying to make sure everyone is using the latest version.
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