Diploma in Data Analytics Co-op

• Use the skills gained to enhance the quality and usefulness of data analytics by drawing from both the cutting-edge technology of automated data collection as well as traditional methods to enable the development of methodologically-sound approaches
• Enhance your knowledge of theoretical concepts and practical applications of data auditing, handling and collecting as well as the accurate tools for this and for effective decision-making
• Gain practical experience in handling and analyzing data to gain informative and useful insights using analysis software such as Structured Query Language (SQL) and SAS while continuously learning the theoretical concepts in handling and designing data
• Learn to use specialist data visualization packages and tools such as Tableau, Qlik Sense and D3 to visualize datas
• Acquire knowledge to use R, the leading programming language in data science and statistics
• Understand the concepts of, and recognize the importance of professional conduct, and develop and implement strategies to promote professional competence

Career Opportunities

• Data analyst
• Database analyst
• Data mining analyst
• Data warehouse analyst