Predictive Modeling with Python

Coursera MOOC / Non-credit USD 49
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Predictive Modeling with Python

About this course

This Predictive Modeling with Python course provides a practical introduction to statistical analysis and machine learning with Python. You will learn essential machine learning concepts, methods, and algorithms with a strong emphasis on applying them to solve real-world business and data problems. By the end of the course, you will: - Understand different data types used in statistical analysis. - Learn techniques to manage inconsistent data effectively. - Perform hypothesis testing using parametric and non-parametric tests. - Develop exploratory data analysis (EDA) models using statistical and machine learning methods. - Enhance machine learning models through evaluation and optimization techniques. This course is designed for individuals with a foundational knowledge of Python programming and basic statistical concepts. This course is ideal for aspiring data analysts, data scientists, business executives, machine learning engineers, and anyone passionate about data-driven decision-making Throughout the program, you will gain hands-on experience in statistical and predictive modeling and apply your skills to real-world scenarios. Enroll in "Predictive Modeling with Python" today and take your expertise to the next level!

What you'll learn

  • understand different data types used in statistical analysis
  • learn techniques to manage inconsistent data
  • perform hypothesis testing using parametric and non-parametric tests
  • develop exploratory data analysis (EDA) models
  • enhance machine learning models through evaluation and optimization techniques

Skills you'll gain

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