List of available Data Science Courses in Central, Singapore - Page 3. The Data Science courses in Central are provided by the following institutes: Also, check out all Data Science Courses from all over Singapore.
The Enterprise Big Data Analyst (EBDA®) course will teach participants advanced Big Data analysis techniques and will guide participants how to build reproductible data analysis models.
Power BI is a business analytics service provided by Microsoft that allows users to visualize and analyze data from a wide range of sources.
SEC595 provides students with a crash-course introduction to practical data science, statistics, probability, and machine learning.
Covering all-round concepts grounded in industry fundamentals, hands-on practical and case studies, this 2-day bootcamp addresses a wide variety of business challenges, process solutioning and how better decisions can be made by leveraging data analytics.
Data Visualization is the graphical representation of information and data by translating information to a visual context to make it for the easier for the human brain to understand and pull insights from.
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.
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.
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.
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.
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