id=7022). This course covers most frequently used statistical methods for data analysis. In addition to the standard inference methods such as parameter estimation, hypothesis testing, linear models ...

Predictive modeling of data using modern regression and classification methods. Multiple linear regression; logistic regression; pitfalls and diagnostics; nonparametric and nonlinear regression and ...

ignores company fundamentals and relies on statistical charts to establish value and forecast prices. The goal of technical analysis is to identify particular chart patterns that are thought to ...

In technical analysis, a horizontal line represents a price chart to note the security’s support level or resistance level. The line runs parallel to the x-axis to show the security’s price ...

Many organizations are beginning to leverage predictive AI to speed up and automate statistical data analysis. The science of predictive analytics can generate future insights with a significant ...

Data analytics is a systematic analysis of statistical information. This type of analysis can be used to uncover trends and metrics that wouldn’t be readily apparent due to the amount of raw data.

Tiers, for those who don't know, signal where the biggest drop-offs are at a position so that you can determine the most ...