Get the knowledge to use Python for building fast and better linear models and to deploy the resulting models in Python with uCertify’s course Regression Analysis with Python. Linear models have always been a prominent and relevant element of the body of knowledge in statistics, economics, and many other respectable quantitative fields of study.
uCertify’s course Regression Analysis with Python covers the following concepts in a detailed manner with live labs for a hands-on experience:
- Regression – The Workhorse of Data Science
- Approaching Simple Linear Regression
- Multiple Regression in Action
- Logistic Regression
- Data Preparation
- Achieving Generalization
- Online and Batch Learning
- Advanced Regression Methods
- Real-world Applications for Regression Models
The course is addressed to Python developers with atleast a basic understanding of data science, statistics, and math. Though the course doesn’t require a previous background in data science or statistics, it can well address data scientists of any seniority who intend to learn how to best do regression analysis on a dataset. It has well descriptive interactive lessons containing pre and post-assessment questions, knowledge checks, quizzes, live labs, flashcards, and glossary terms to get a detailed understanding of the distinctive course.
So what are you waiting for? Get your copy of uCertify’s course Regression Analysis of Python today.