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Data and Statistics Foundation for Investment Professionals

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Aimed at investment professionals or those with investment industry knowledge, this course offers an introduction to the basic data and statistical techniques that underpin data analysis and lays an essential foundation in the techniques that are used in big data and machine learning. It introduces the topics and gives practical examples of how they are used by investment professionals, including the importance of presenting the “data story" by using appropriate visualizations and report writing. In this course you will learn how to: - Explain basic statistical measures and their application to real-life data sets - Calculate and interpret measures of dispersion and explain deviations from a normal distribution - Understand the use and appropriateness of different distributions - Compare and contrast ways of visualizing data and create them using Python (no prior knowledge of Python necessary) - Explain sampling theory and draw inferences about population parameters from sample statistics - Formulate hypotheses on investment problems This course is part of the Data Science for Investment Professionals Specialization offered by CFA Institute.

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"Data and Statistics Foundation for Investment Professionals" is a foundational course designed for investment professionals or those familiar with the investment industry. It covers essential data and statistical techniques crucial for data analysis, big data, and machine learning. Learners will gain practical skills in statistical measures, data visualization, and Python, with no prior coding experience required. The course spans approximately 1260 minutes and is offered by Coursera in partnership with the CFA Institute. Subscription options include Starter and Professional tiers, catering to those seeking to deepen their investment analysis expertise.