Machine Learning for Advanced Analytics Certificate Program

Success in business depends largely on making faster and more accurate decisions to solve complicated problems. That speed and accuracy can hinge upon the ability to apply analytics to plumb data for meaningful patterns and predict future trends. Machine learning is a cornerstone of analytics in almost all industries for large datasets associated with customers, business processes, and market economics. 

In this course, you will learn the underlying principles for a wide variety of machine learning methods and algorithms, as well as the procedures to assess their validity in different applications. You will apply machine learning languages R and Python to select, build and use predictive models.

The course also covers data visualization, enabling you to examine the trends and patterns in big data problems. In particular, you will gain expertise in the data visualization tools ggplot2 for R and Matplotlib, and Seaborn for Python. Applications for the course content include business intelligence, data mining/warehousing, service delivery, product development, marketing, and process improvement.

Custom Program Benefits

Your team will learn how to:

• Build machine learning models using the most widely-used tools (R and Python)
• Assess and compare models developed by different algorithms
• Deploy machine learning models to solve practical business problems
• Recommend the best machine learning algorithms for detecting trends in large, noisy data sets
• Compare and contrast data mining and machine learning techniques based on their mathematical assumptions, scalability, limitations, and parameters

Who should attend

This program is for professionals seeking to optimize business performance in high-tech companies. Applications include business intelligence, data mining/warehousing, service delivery, product development, marketing, and process improvement.

Instructor

Ash Pahwa, PhD