# Tag: correlation

### Correlation and Linear Regression

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From datascience+: “Before going into complex model building, looking at data relation is a sensible step to understand how your different variables interact together. Correlation looks at trends shared between two variables, and regression looks at relation between a predictor (independent variable) and a response (dependent) variable.”

### Intro to Inferential Statistics

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From Udacity: “Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t-tests, ANOVA tests, and regression to validate your claims.” The course consists of seven lessons: Estimation Hypothesis Testing t-tests ANOVA Correlation Regression Chi-squared Tests This course is a preliminary step towards the Udacity Data Analyst Nanodegree Program, designed to …

### Data Analysis Tools

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This course is 2 of 5 in the Data Analysis and Interpretation Specialization. From Coursera: “In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and …

### DataCamp – Introduction to Time Series Analysis

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From DataCamp: “Many phenomena in our day-to-day lives, such as the movement of stock prices, are measures in intervals over a period of time. Time series analysis methods are extremely useful for analyzing these special data types. In this course, you will be introduced to some core time series analysis concepts and techniques.” This course consists of five chapters: Exploratory time series data analysis Predicting the future Correlation analysis and the …

### DataCamp – Correlation and Regression

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From DataCamp: “Ultimately, data analysis is about understanding relationships among variables. Exploring data with multiple variables requires new, more complex tools, but enables a richer set of comparisons. In this course, you will learn how to describe relationships between two numerical quantities. You will characterize these relationships graphically, in the form of summary statistics, and through simple linear regression models.” This course consists of five chapters: Correlation and regression Correlation Simple …

### Statistics One

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Statistics One is designed to be a comprehensive yet friendly introduction to fundamental concepts in statistics, and also provide an introduction to the R programming language.

### Statistics in a Nutshell

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Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject.

### Naked Statistics: Stripping the Dread from the Data

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Wheelan strips away the arcane and technical details, focuses on the underlying intuition that drives statistical analysis, and clarifies key concepts such as inference, correlation, and regression analysis.

### Programming Collective Intelligence: Building Smart Web 2.0 Applications

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This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet.

### Now You See It: Simple Visualization Techniques for Quantitative Analysis

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Now You See It teaches simple, practical means to explore and analyze quantitative data–techniques that rely primarily on using your eyes.