TOP 10 DATA SCIENCE COURSES IN CENTRAL, SINGAPORE - PAGE 4

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 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.

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.

In this advanced course, participants will learn specific concepts and advanced techniques of machine learning, such as Support Vector Machines, Random Forest, Boosting and Stacking, Cross Validation, Pipeline and many more.

Data is exploding every single day and the volume is just enormous! We need a way to manage and perform analytics on the data. This workshop shows you how Big data tools and Spark can be leveraged for analytics and machine learning!

Machine learning is one of the keys elements of analytics today and helps organizations with a multitude of use cases to enhance business. Learn how Azure can be leveraged for Machine Learning for different use cases using different services.

Depicting the insights from your data in the best possible manner is very important to any organization. This course provides an intensive hands on training on PowerBI for storytelling and analytics!

R programming language is a free, open-source software used for all kinds of data science, statistics, and visualization projects. R analytics is powerful, versatile, and able to be integrated into BI platforms, to get the most out of business-critical data.

This course acquaints course participants with analytics scenarios for different industries and focuses on the application of supervised and unsupervised learning techniques suited for large and complex datasets. It also covers methods to evaluate and improve machine learning models.