In this free online course, learn about the important concepts and essential factors involved in data science with R. Discover the fundamental aspects of how data science helps businesses make objective and influential decisions in this free online data science with R course. Master the real-world applications of all the data various business sectors accumulate and use it for your clients or employers. You will also gain practical experience on how to discover patterns from raw data and the many career opportunities available in the field of data science.
| Course Type | Online Learning |
| Course Qualification | CPD Diploma |
| Course Duration | 15-20 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 | In This Free Course, You Will Learn How To • Outline the data science life-cycle stages • Discuss the concept of data manipulation in R • Identify the most important operator for data manipulation in R • Explain the way missing values are represented in R • Define the concept of data visualization • Describe the components included in R packages • Evaluate the two parts of an R Shiny app • Compare relational and logical operators • List the examples of one-dimensional data types in R |
| Course Code | 1319 |
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