What you will learn in this course?
 About this courseIf you want to succeed in business and the data science field this course on probability and statistics is for you, we cover all the topics related to statistics and probability. This course is all about practicals and implementations of statistics in the real world problems; course contains minimum theory and gives more importance to build practical knowledge and core concept about the subject. Each section has dummy problems, in course quizzes, and assessment tests. The course starts with the very basics of data, building and understanding of how bivariate data sources can be related to each other, dispersion of data, understanding how to examine it with measurements of central tendency. After completion of basics we’ll dive into probability, learning about permutation and combination, how to apply bayes theorem and whole concept about conditional probability. Then we’ll move on to discussing and creating a solid base foundation of understanding how to work with binomial, uniform, poisson, and normal distributions and in this course we will learn and develop skills about the most common distributions found in statistics. The next topic we’ll be covering is all about statistics, starting with practical usage, applying what we’ve learned so far to real world business cases, including the student's T distribution and hypothesis testing. The last topic of this course consist of 3 sections on advanced topics, such as analysis of variance (ANOVA), performing chi squared analysis and finally understanding regression analysis. This course includes HD quality video lectures with clear explanations. High quality animations are also there in the videos; we also include extensive case studies to show you how to apply this knowledge to the real world. Click the link or image below to access the course contents: |
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