I would like to mention that my focus in these posts would be to give intuition on every topic and how it relates to data science rather going deep into mathematical formulas.This series will contain 6 posts, this one is the pilot which gives an overview and set the context of subsequent posts.Second post will cover probability & its types, random variables & probability distributions and how they are important from data science perspective.ProbabilityIntroductionConditional ProbabilityRandom VariablesProbability DistributionsThird, Fourth & Fifth posts will cover every topic related to statistics & its significance in data science.StatisticsIntroductionDescriptive StatisticsInferential StatisticsBayesian StatisticsSixth (final) post will cover statistical learning, it will be about looking at machine learning or data science from statistical perspective.Statistical LearningIntroductionPrediction & InferenceParametric & Non-parametric methodsPrediction Accuracy and Model InterpretabilityBias-Variance Trade-OffSo if you are looking for similar kind of learning curve, kindly stay tuned for my upcoming posts.Thank you for reading my post.. More details