Machine Learning Algorithms with R in Business Analytics
Coursera
24 Courses
ESSEC is a prestigious business school situated in France, with campuses in Paris, Singapore, and Morocco. Its highly esteemed faculty provides top-notch research and learning opportunities that prepare students for successful careers in the global economy.
Overview
Discover the transformative power of machine learning in the realm of business analytics with our comprehensive course, "Machine Learning Algorithms with R in Business Analytics", brought to you by ESSEC Business School on Coursera. Delve into the heart of business data to uncover patterns and actionable insights using advanced machine learning algorithms. Learn not just the theoretical underpinnings but also gain practical experience in applying these algorithms to real-world business problems.
Throughout this course, you will explore various machine learning algorithms designed for different outcomes – from predicting numeric values to classifying data into distinct categories, and even grouping vast datasets into meaningful clusters. This course will equip you with the knowledge to understand when and how to apply each of these algorithms effectively.
Furthermore, seize the opportunity to master the use of R and RStudio, premier tools in the analytics industry, to implement these algorithms. The course emphasizes hands-on learning, allowing you to run algorithms and present your findings through R notebooks, thus bridging the gap between theoretical knowledge and practical application.
Whether you're looking to enhance your machine learning,R programming,algorithms and data structures, orbusiness intelligence skills, this course fits perfectly into various professional pursuits. Enroll now and start your journey towards mastering the use of machine learning algorithms in business analytics with ESSEC Business School and Coursera.
Syllabus
Taught by
Jessen Hobson and Ronald Guymon