Learn about the methods of presenting and plotting data in stats with this free online biology course. Are you familiar with the process of obtaining an accurate picture from a large number of data points? This course demonstrates how to use statistical techniques to summarize the characteristics of a data set to draw meaningful conclusions. Study the various methods for presenting information in the form of charts and graphs. Discover how to use R programming for statistical analysis, graphical representation, and data reporting.
| College | Alison |
| Course ID | 196128 |
| Course Type | Online Learning |
| Course Qualification | CPD Certificate |
| Course Duration | 4-5 hours |
| Course Fee | Free |
| Entry Requirements | Like all courses on the Alison Free Learning platform this is a free, CPD-accredited course. A Graduate can choose to buy a certificate or diploma upon successful completion of a course, but this is not required or necessary. At Alison we believe that free education, more than anything, has the power to break through boundaries and transform lives. Alison is the world’s largest free online empowerment platform for education and skills training, offering over 5000 CPD accredited courses and a range of impactful career development tools. It is a for-profit social enterprise dedicated to making it possible for anyone, to study anything, anywhere, at any time, for free online, at any subject level. Through our mission, we are a catalyst for positive social change, creating opportunity, prosperity, and equality for everyone. |
| Career Path | What You Will Learn In This Free Course • Define the concepts of descriptive and inferential statistics • List the various types of quantitative and qualitative data • Identify the significance of data representation • Describe the procedure for calculating arithmetic and geometric mean • Indicate the geometric mean's relative strength over the arithmetic mean • Compute the variability of data using absolute and standard deviation • Explain the process of calculating the standard error of the mean • Outline the practical significance of the standard deviation • Describe the procedure for calculating the Z-score • Discuss the methods of assessing the skewness of statistical data • State the process of determining the moments of statistical data • Explain the methods of data plotting using R-programming |
| Course Code | 3663 |
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