Level up your statistics skills for your career in finance with this course in core statistics and finance and business applications. Statistics is the core subject providing the foundation for analysis in all areas of finance. This course, designed and produced by a seasoned financial practitioner, and former math professor, delivers you to the forefront of cutting edge quantitative techniques used in the finance industry worldwide.This course assumes no knowledge of statistics or finance. From a basic foundation of only high school math this course will elevate you to the forefront of quantitative and computational tools for modelling financial markets, analyzing financial products, and managing risk. What You Will LearnThis course provides a thorough grounding in the probability foundations of statistics. The core topics of statistics, estimation, hypothesis testing, and confidence intervals, are treated in full depth. Modern statistics methods are applied to real problems from finance.Some of the topics covered in this course includeDiscrete and combinatorial probabilityThe binomial, normal, exponential, and chi-square distributionsMixed normal distributionsMean, variance, skewness, and kurtosisLocation, scale, and shape parametersLaw of large numbersCentral limit theoremMaximum likelihood estimationMethod of momentsHypothesis testingSignificance level, size, and power of testsConfidence bounds and intervalsStationarity and structural breaks in financial time seriesModelling the distributions of financial returnsIncludes Python ToolsPython based tools are included for working with probability distributions, for analyzing data, and providing implementations of modern statistical algorithms. All software that is part of this course is released under a permissive MIT license, so students are free to take these tools with them and use them in their future careers, include them in their own projects, whether open source or proprietary, anything you want!So Sign Up Now!Accelerate your career by taking this course and advancing your skills in statistics for finance and business. With more than 20 hours of lectures, extensive problem sets, and Python codes implementing modern statistics methods, not to mention a 30 day money back guarantee, you can't go wrong!