Diploma in predictive analytics

Predictive analytics is a fundamental approach today, where the volume of data generated grows exponentially. It allows organizations to extract valuable information, identify patterns and trends, and anticipate future events. This diploma in predictive analytics provides an integral understanding of the tools and techniques necessary to perform precise and effective predictive analyzes. From the basic concepts of data mining and automatic learning to the implementation of advanced algorithms and the use of technologies such as Hadoop and Weka, you can apply predictive analytics in a wide range of scenarios, from marketing to business decision making.

- Understand the KDD process and its application in data mining. - Dominate the Hadoop ecosystem and its integration with Big Data. - Use Weka to implement data mining techniques and attribute selection. - Differentiate between automatic learning algorithms and deepen its application. - Apply clustering algorithms for data extraction in data. - Design and develop recommendation systems through techniques such as collaborative filtering. - Implement neuronal and Deep Learning networks to solve classification and prediction problems.

Thanks to this diploma in predictive analytics you will be prepared or prepared for a wide range of roles in the field of predictive analytics and data analysis. You can work in areas such as data science, data analysis, Machine Learning engineering, Big Data consulting, development of recommendation systems or business intelligence analysis.

This diploma in predictive analytics prepares you to use the data to anticipate trends, provide events and make informed decisions. You will learn to apply advanced data mining and automatic learning techniques, you will use tools such as Hadoop and Weka to handle large data sets, and develop skills in the implementation of clustering algorithms, classification, neuronal networks and Deep Learning.

This diploma in predictive analytics is aimed at professionals from various sectors interested in enhancing their data analysis and data -based skills. It is also suitable for students who wish to enter the field of predictive analytics and learn emerging technologies such as Hadoop and Weka.