BONUS! Cyber Phoenix Subscription Included: All Phoenix TS students receive complimentary ninety (90) day access to the Cyber Phoenix learning platform, which hosts hundreds of expert asynchronous training courses in Cybersecurity, IT, Soft Skills, and Management and more!
Course Overview
This 2-day data science focused training course explores regression and time-series analysis. At the conclusion of this course, students should be able to do the following:
- Build single and multivariate regression models
- Assess statistical significance and validate models for explanatory power and bias
- Use time-series models to identify seasonality patterns and create forecasts for cyclical data
Schedule
Currently, there are no public classes scheduled. Please contact a Phoenix TS Training Consultant to discuss hosting a private class at 301-258-8200.
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Course Outline
Introduction to Regression and Time-Series Analysis
- Commercial applications of regression and time-series analysis
- Linear relationships: slope, y-intercept, variable interactions
- Variance and standard deviation
- Covariance and correlation
- Normal distribution and bell curves
Evaluating Your Model
- Distribution of errors: Q-Q plot, heteroscedasticity
- Multivariate regression
- R- and adjusted R-
- p-values and the t-test
- F-test and F-distribution
Identifying the Most Important Variables
- Multicollinearity test
- Heteroscedasticity test
- Model selection: Akaike Information Criterion
- Polynomial regression
- Confidence intervals
Time-Series Analysis Seasonality
- Moving averages
- Seasonality detection: auto-correlation
- Seasonality: additive vs. multiplicative
- Decomposing seasonal data: trend, level and seasonality
- Multiplicative Holt-Winters exponential smoothing
- Forecasting seasonal trends
- LOcal regrESSion: LOESS
Regression and Time-Series Analysis Training FAQs
This course is intended for professionals who have a good working knowledge of R, work with time-series data and want to create forecasts for future trends, need to model cyclical or seasonal data such as sales, customer volumes, web traffic, employee behaviors, etc.;
need a good background in basic statistics and statistical modeling
or want to stand out as data scientists with advanced predictive modeling and time-series analysis skills .
Students should have taken the Introduction to Data Science, R, and Visualization course or should have the equivalent knowledge of data manipulation, cleaning and visualization.
BONUS! Cyber Phoenix Subscription Included: All Phoenix TS students receive complimentary ninety (90) day access to the Cyber Phoenix learning platform, which hosts hundreds of expert asynchronous training courses in Cybersecurity, IT, Soft Skills, and Management and more!
Phoenix TS is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints re-garding registered sponsors may be submitted to the National Registry of CPE Sponsors through its web site: www.nasbaregistry.org
