This free online course takes you through the fundamentals of data analytics with Python programming language. Python is a great programming language for data analytics. This course introduces you to the basics and fundamentals of data analytics, including core aspects of python programming. The course covers such opportunities that arise by studying data analytics, including the determination of credit risks, and the development of new medicines. By the end of this course, you will have a great understanding of the major types of data analytics.
| Course Category | Business |
| Course Type | Online Learning |
| Course Qualification | CPD Certificate |
| Course Duration | 1.5-3 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 • Define data and its importance • Define analytics and its types • Explain why data analytics is important in today's business environment • Explain the relationship between statistics, analytics and data science • Describe the different levels of data analytics • Discuss why python is used in data analytics • Describe how to install python and the fundamentals of python programming • Explain the concept of data visualization • Explain the measure of central tendency and dispersion • Describe variance and standard deviation of grouped data • Discuss the major types of data analytics • Explain how data helps in the understanding of the consumer market • Describe how the measure of central tendencies yield information about particular places of locations in a group of numbers |
| Course Code | 1250 |
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