{"id":2985,"date":"2018-01-17T15:13:13","date_gmt":"2018-01-17T15:13:13","guid":{"rendered":"https:\/\/blogs-staging.imperial.ac.uk\/student-blogs\/?p=2985"},"modified":"2018-01-17T15:14:00","modified_gmt":"2018-01-17T15:14:00","slug":"the-learning-toolbox-for-msc-business-analytics","status":"publish","type":"post","link":"https:\/\/blogs-staging.imperial.ac.uk\/student-blogs\/2018\/01\/17\/the-learning-toolbox-for-msc-business-analytics\/","title":{"rendered":"The learning toolbox for MSc Business Analytics"},"content":{"rendered":"

The <\/span>MSc in Business analytics<\/span><\/a> is an intense year of rigorous technical and quantitative training. It prepares students to solve business problems using a variety of statistical, operations research and machine learning techniques.<\/span><\/p>\n

What you learn in class is usually just a small part of what you end up doing in group projects and homework. There is a huge amount of good resources you can use to learn new material or enhance your knowledge in a topic. <\/span><\/p>\n

In this blog, I wanted to share the most useful sources I found in case you\u2019re planning to pursue this program at Imperial.<\/span><\/p>\n

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Before you start the program: the basics<\/b><\/p>\n

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Statistics and probability<\/span><\/i><\/p>\n

Start by revising your math skills in statistics and probability. <\/span>Khan Academy<\/span><\/a> provides a great and interactive program to refresh what you need to know before starting statistics, econometrics and machine learning. <\/span><\/p>\n

Code, code, code<\/span><\/i><\/p>\n

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Before you start this master\u2019s program, it is immensely useful if you can already code at least the basics in python and\/or R. Try at least doing a python and R basic course. <\/span><\/p>\n

Some useful links:<\/span><\/p>\n