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Udemy - A-Z Maths For Data Science - OneDDL - 05-27-2025 Free Download Udemy - A-Z Maths For Data Science Last updated 1/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 9.84 GB | Duration: 23h 0m Learn about Linear Algebra, Probability, Statistics and more through solved examples and intuition. What you'll learn Basics of Linear Algebra - What is a point, Line, Distance of a point from a line. What is a Vector and Vector Operations What is a Matrix and Matrix Operations Visualizing data, including bar graphs, pie charts, histograms Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores Analyzing data, including mean, median, and mode, plus range and IQR and box plots Data Distributions like Normal and Chi Square Probability, including union vs. intersection and independent and dependent events and Bayes' theorem Permutation with examples Combination with examples Central Limit Theorem Hypothesis Testing Requirements Foundational Mathematics Description A-Z MATHS FOR DATA SCIENCE IS SET UP TO MAKE LEARNING FUN AND EASYThis 100+ lesson course includes 23+ hours of high-quality video and text explanations of everything from Linear Algebra, Probability, Statistics, Permutation and Combination. Topic is organized into the following sections:Linear Algebra - Understanding what is a point and equation of a line. What is a Vector and Vector operations.What is a Matrix and Matrix operationsData Type - Random variable, discrete, continuous, categorical, numerical, nominal, ordinal, qualitative and quantitative data typesVisualizing data, including bar graphs, pie charts, histograms, and box plotsAnalyzing data, including mean, median, and mode, IQR and box-and-whisker plotsData distributions, including standard deviation, variance, coefficient of variation, Covariance and Normal distributions and z-scores.Different types of distributions - Uniform, Log Normal, Pareto, Normal, Binomial, BernoulliChi Square distribution and Goodness of FitCentral Limit TheoremHypothesis TestingProbability, including union vs. intersection and independent and dependent events and Bayes' theorem, Total Law of ProbabilityHypothesis testing, including inferential statistics, significance levels, test statistics, and p-values.Permutation with examplesCombination with examplesExpected Value.AND HERE'S WHAT YOU GET INSIDE OF EVERY SECTION:We will start with basics and understand the intuition behind each topic.Video lecture explaining the concept with many real-life examples so that the concept is drilled in.Walkthrough of worked out examples to see different ways of asking question and solving them.Logically connected concepts which slowly builds up. Enroll today! Can't wait to see you guys on the other side and go through this carefully crafted course which will be fun and easy.YOU'LL ALSO GET:Lifetime access to the courseFriendly support in the Q&A sectionUdemy Certificate of Completion available for download30-day money back guarantee Students currently studying probability and statistics or students about to start probability and statistics,Anyone who wants to study math for fun,Anyone wanting to learn foundational Maths for Data Science,Anyone who wants to understand what goes behind the popular packages Homepage [To see links please register or login] Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [To see links please register or login] No Password - Links are Interchangeable