Improve your MySQL proficiency along with your data analytics and statistics skills with this free online course. MySQL is a database management system that is used in several applications depending on the need. In most cases, it is used in combination with web development and data science, which is likely the most common use of MySQL. Do you love data and want to be proficient in analytics, data science or business analysis? This course on MySQL and statistics for data analysis will set you up for an exciting journey to become a professional data scientist.
| College | Alison |
| Course ID | 188808 |
| Course Type | Online Learning |
| Course Qualification | CPD Diploma |
| Course Duration | 10-15 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 • Explain the basics of MySQL database management • Discuss the differences between relational and non-relational databases • List the advantages and disadvantages of MySQL • Explain how to create databases, tables, columns, and insert data in MySQL • Discuss the use of several statements, functions, queries and the likes in MySQL • Recall the features of MongoDB • Discuss the types and classifications of data • Evaluate the forms of data distribution and methods of data presentation • Relate how to calculate several notable statistical analyses like standard deviation, P-value and more |
| Course Code | 4217 |

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