Every day 2.5 quintillion (2,500 followed by 15 zeros) bytes of data are created, and 90% of the data in the world today has been generated in the last two years. As a consequence, skills in identifying and obtaining intelligence from the precious commodity of big data are in demand across many sectors. On this course, you will:
- Gain the technical expertise and industrial experience you need to progress your career or launch an enterprise in big data analytics
- Develop high-level skills in business intelligence, data analytics and database technology
Every day 2.5 quintillion (2,500 followed by 15 zeros) bytes of data are created, and 90% of the data in the world today has been generated in the last two years. As a consequence, skills in identifying and obtaining intelligence from the precious commodity of big data are in demand across many sectors. On this course, you will:<br/><br/><br/>- Gain the technical expertise and industrial experience you need to progress your career or launch an enterprise in big data analytics<br/><br/><br/>- Develop high-level skills in business intelligence, data analytics and database technology<br/><br/><br/>- Harness the full power of SAS software, thanks to our partnership with the global leader in business analytics services<br/><br/><br/>- Address real-world industry-based problems and conduct a major research project on a theme of your choice<br/><br/><br/>- Build broader skills in communication, teamwork and management to enhance your career prospects<br/><br/><br/>The course has been designed both for graduates from STEM (Science, Technology, Engineering and Mathematics) degrees, as well as subject areas where statistical analysis is a core subject, and for current professionals in Analytics and Data Science who wish to extend their knowledge and expertise of this field.
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Course Details
Information
Study Mode
Part-time
Duration
2 Years
Start Date
01/2025
Campus
Markeaton Street
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
D39
Points of Entry
Unknown
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