What you'll learn:
- Bayesian statistics
- Nonparametric statistics
- Multivariate analysis
- Statistical modeling
- Data visualization
- Causal inference
- Survival analysis
- Factor analysis
- Cluster analysis
- Statistical inference
Course offers:
- We offer one-on-one or group tutoring sessions in a variety of subjects.
- Experienced tutors who provide personalized instruction and guidance.
- Interactive virtual classrooms with video and audio communication.
- Access to numerous educational resources and study materials.
- Online chat or messaging for communication outside of tutoring sessions.
- Integration with other online learning platforms or tools.
Requirements:
- Reliable internet connection to ensure smooth video streaming and communication.
- You will require an audio- and video-capable computer, laptop, or mobile device.
- Some examples of updated web browsers include Google Chrome, Mozilla Firefox, and Safari.
- Necessary software or applications, such as video conferencing tools or learning management systems.
Course content:
Duration : 130 hours
- Class #1:Probability theory and concepts
- Class #2:Descriptive statistics and data visualization techniques
- Class #3:Inferential statistics and hypothesis testing
- Class #4:Regression analysis and modeling
- Class #5:Multivariate analysis and factor analysis
- Class #6:Time series analysis and forecasting methods
- Class #7:Experimental design and analysis of variance (ANOVA)
- Class #8:Nonparametric methods and robust statistics
- Class #9:Bayesian statistics and decision theory
- Class #10:Machine learning algorithms for statistical analysis
- Class #11:Data mining and exploratory data analysis (EDA)
- Class #12:Sampling techniques and survey methodology
- Class #13:Statistical software and programming languages (e.g., R, Python)
- Class #14:Interpretation and communication of statistical results
- Class #15:Ethical considerations and pitfalls in statistical analysis
Skills you will acquire:
- Regression
- Hypothesis testing
- Probability
- Sampling
- Data analysis
- Experimental design
Book Demo Class
Description:
Multivariate Analysis: Techniques used to analyze data with multiple variables simultaneously, such as multiple regression, factor analysis, and principal component analysis (PCA).
$700 $1000 30% off
Book Demo Class
