Welcome to Logistics Intelligence and Big Data Analysis
This course introduces some of the best practical methods and tools for creating business value using big data. It goes above algorithms or logistics into building data literacy, reasoning and analytics capability. This course focuses on your business questions, helping you identify which data could answer these questions, where the data is, how to find the right data from heterogeneous sources, and how to bring the data together, followed by addressing the right analytics models and how to apply them to deliver the right insight for the right stakeholders or decision makers. This course uses simple explanations to illustrate complex concepts such as data science, AI and Blockchain. It focuses on using open source tools to reason what has happened, why it happened, what is the best that could happen, and how you can make it happen. This course was established in 2015 and received 91% positive student feedback in 2018 and 100% in 2019.
- Using big data to investigate what has happened (Week 1 - 3)
- Using big data to find out why it happened (Week 4 - 7)
- Using big data to identify what will happen (Week 8 - 10)
- Using big data to predict what is the best that could happen (Week 11 & 12)
- Using big data to make it happen and future strategies (Week 13 & 14)
Some information about our research lab with publication!
The easiest way to make your first post is to edit this one. Go into /_posts/ and update the Hello World markdown file. For more instructions head over to the Jekyll Now repository on GitHub.
Some information about our research lab with publication!
The easiest way to make your first post is to edit this one. Go into /_posts/ and update the Hello World markdown file. For more instructions head over to the Jekyll Now repository on GitHub.
Some information about our research lab with publication!
The easiest way to make your first post is to edit this one. Go into /_posts/ and update the Hello World markdown file. For more instructions head over to the Jekyll Now repository on GitHub.
Some information about our research lab with publication!
The easiest way to make your first post is to edit this one. Go into /_posts/ and update the Hello World markdown file. For more instructions head over to the Jekyll Now repository on GitHub.
Some information about our research lab with publication!
The easiest way to make your first post is to edit this one. Go into /_posts/ and update the Hello World markdown file. For more instructions head over to the Jekyll Now repository on GitHub.
Some information about our research lab with publication!
The easiest way to make your first post is to edit this one. Go into /_posts/ and update the Hello World markdown file. For more instructions head over to the Jekyll Now repository on GitHub.