Data Mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis. Data mining tools allow enterprises to predict future trends.
Data Mining has great importance in today’s highly competitive business environment. Data mining is largely used in several applications such as understanding consumer research marketing, product analysis, demand and supply analysis, e-commerce, investment trend in stocks & real estates, telecommunications, and so on. Data Mining is based on mathematical algorithms and analytical skills to drive the desired results from the huge database collection.
Data Mining and Management Strategies training course will help you uncover and explore hidden patterns in the data, providing insight to predict, experiment, and continuously refine strategic decisions with big business impact. You will explore marketing business processes that increasingly rely on analytics, including customer acquisition, marketing segmentation, and understanding customer lifetime value. Use analytical tools to develop models to support these business processes.
At the end of this Data Mining and Management Strategies training course , you will be able to:
- The definitions of data mining and data science.
- The role of statistics in data mining.
- Machine learning concepts.
- To differentiate between supervised and unsupervised learning.
- The data mining process.
- How to conduct exploratory data analysis.
- To identify data mining models and algorithms.
- How to match the problem with the model.
- Model validation techniques.
- How to deploy data mining models.
Data Mining and Management Strategies training course is designed for:
- professionals who want to deepen their understanding of how big data can be mined and managed to uncover information. With its exploration into relational databases and predictive modeling techniques, the course helps professionals understand how this process works effectively with various types of data.