Correlations, Association & Hypothesis Testing (with Python)
One of the Best Online Correlation And Dependence Courses is Correlations, Association & Hypothesis Testing (with Python). In statistical analysis and machine learning, exploring and measuring the strength of connections between variables/features is crucial. The course's apps are all written in Python. Junior analysts as well as more seasoned data scientists will benefit from this training. This course will help you create the correct foundation at an early stage of your career if you are an aspiring/junior data analyst/scientist in particular.
This course will help you revisit and eventually enhance your grasp of the assessment of relationships between variables/features if you are a seasoned data scientist. Each part examines a variety of statistical measures in connection to variable correlations before constructing statistical hypothesis tests to assess the strength of these relationships. Throughout the course, there are practical sessions where you will learn how to implement the methods described (using Python) and run various hypothesis tests using real-world datasets.
A quiz is also included at the end of each section. These exams are designed to assist you in consolidating the primary topics taught in the course. You will have a clear and cohesive grasp of covariances, correlations, t-test, Chi-squared test, ANOVA, F-test, and much more at the end of the course.
This course offers:
- Flexible deadlines: Reset deadlines in accordance to your schedule.
- Certificate: Earn a Certificate upon completion
- 100% online
- Beginner Level
- Approx. 3 hours to complete
- Subtitles: English
Course Rating: 5/5
Enroll here: https://www.udemy.com/course/with-python-correlations-association-hypothesis-testing/
