Are you looking for Data Science courses in Singapore? Here are the Top 10 Data Science training courses in Singapore. The course fee for Data Science training courses in Singapore ranges from S$8 for a 90-minute Data Visualization Using Python course, up to S$79866 for a 2-day Visualzation With R Shiny training. You may also be interested to checkout Bachelor of Data Science & Master of Data Science courses in Singapore
Artificial Intelligence (AI) is found in many applications today. From on-demand car ride services, to chatbots, to online recommendation services, AI has helped businesses work more efficiently and effectively.
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.
Data Analytics is an integral part of every business in Singapore. To thrive in today’s business landscape, it is crucial to learn how to leverage data to make critical business decisions.
Vertical Institute’s Data Science course in Singapore is an introduction to Python programming, machine learning and artificial intelligence to drive powerful predictions through data.
Today, the word's data is growing at an astonishing rate. It is said that the world's most valuable resource is no longer "oil", but "data". More and more, we see forward-looking corporates harvesting and analysing large complex datasets to improve competitiveness.
Data Science is an umbrella term that incorporates multiple disciplines, including data analytics, statistics, computing, machine learning, predictive analytics, text analytics and more.
This course will equip participants with the technical skills to apply machine learning algorithms and deploying practical Artificial Intelligence (AI) models with an industrial edge controller for anomaly detection and predictive maintenance.
This course covers the fundamentals of machine learning principles and practices, with a practical focus. You will be introduced to the concept of Supervised and Unsupervised machine learning with the help of Python libraries such as scikit-learn and pandas.
This programme empowers you with the skills and confidence to exploit opportunities and accelerate data-driven investing decisions. Through lectures, real-world case studies, discussions, and hands-on exercises you will gain insights into various real-world applications.
With the rise of data analytics applications, it is crucial to learn how to leverage on data analytics to extract useful information from large amounts of data and integrate business expertise with knowledge of data, to derive actionable insights.
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