Statistical Modeling for Data Analysis : Achieve Success in Exams with Comprehensive Practice Tests and Expert Guidance
Sub Category
- Test Prep
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Objectives
- Descriptive Statistics
- Basic Probability Theory
- Introduction to Regression Analysis
- Data Visualization Techniques
- Hypothesis Testing
- Multiple Regression Analysis
- Analysis of Variance (ANOVA)
- Time Series Analysis
- Logistic Regression
- Principal Component Analysis (PCA)
- Cluster Analysis
- Advanced Machine Learning with Scikit-learn
- Bayesian Statistics
Pre Requisites
- Basic understanding of statistics including concepts like mean, median, variance, and probability distributions.
- Familiarity with a programming language such as Python or R, particularly in handling data and performing basic operations.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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