This course is an introduction to how to use relational databases in business analysis. You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them. This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts. You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you – you will be able to get the data by yourself!
About this Course
Skills you will gain
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
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- 4 stars16.95%
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TOP REVIEWS FROM MANAGING BIG DATA WITH MYSQL
Each week's lessons are very well thought and I'd like to thank to the professors who created this amazing course. The last exam is very challenging! Be ready to spend +10 hours in a day :D
I recommend this course although the exercise requires more time than the average courses in Coursera. If you complete it seriously on your own you will learn a lot in order to apply it at work.
Excellent course for beginners looking to be able to utilize SQL directly or even understand how SQL works so requirements can be gathered with greater detail and why that detail is needed.
It was an Awesome course. Really enjoyed doing all the exercises. Now I feel quite confident to write any queries. Special Thanks to Professor Jana Schaich Borg for teaching so wonderfully!!!!!
About the Excel to MySQL: Analytic Techniques for Business Specialization
Formulate data questions, explore and visualize large datasets, and inform strategic decisions.
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