Description:

Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. It involves a variety of statistical techniques and modeling algorithms to analyze current and historical facts to make predictions about the future. This course covers the principles, techniques, and tools used in predictive analytics to help professionals leverage data for making informed decisions and strategic plans.

Key Highlights:

• Data-driven decision-making
• Predict future trends
• Statistical modeling techniques

What you will learn:

• Understanding predictive modeling
  Learn the fundamental concepts of predictive modeling and its applications in various industries.
• Data visualization and interpretation
  Explore methods for visualizing data and interpreting statistical findings to extract valuable insights.
• Machine learning algorithms
  Gain hands-on experience with popular machine learning algorithms for predictive analytics.
• Predictive model evaluation
  Understand how to evaluate the performance of predictive models and improve their accuracy.