TOP 10 DATA SCIENCE COURSES IN SINGAPORE - PAGE 5

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.

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.

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!

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.

Predictive analytics generates future insights with a significant degree of precision based on historical data. Through this course, learners will demonstrate their competencies in developing a predictive analytics project in teams by applying data privacy and ethical principles in the collection.

This course covers a concise introduction on business analytics and how it is applied in our workplace. In this course, participants will learn the concepts of data management, the common analytical techniques used in work environment.

This course provides the participants with a high-level overview of concepts in artificial intelligence and its practical applications. The participants will develop a broad understanding of different approaches to artificial intelligence, including machine learning.

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.

This course is intended to equip the participants with skillset to deliver high quality and timely reports and dashboards to support organizational reporting for more effective organizational decision making.