kingers Posted Sunday at 12:21 PM Report Share Posted Sunday at 12:21 PM A-Z Maths for Data Science Last updated 1/2025 Duration: 23h | .MP4 1920x1080, 30 fps(r) | AAC, 44100 Hz, 2ch | 9.84 GB Genre: eLearning | Language: EnglishLearn 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 EASY This 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 operations Data Type - Random variable, discrete, continuous, categorical, numerical, nominal, ordinal, qualitative and quantitative data types Visualizing data, including bar graphs, pie charts, histograms, and box plots Analyzing data, including mean, median, and mode, IQR and box-and-whisker plots Data 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, Bernoulli Chi Square distribution and Goodness of Fit Central Limit Theorem Hypothesis Testing Probability, including union vs. intersection and independent and dependent events and Bayes' theorem, Total Law of Probability Hypothesis testing, including inferential statistics, significance levels, test statistics, and p-values. Permutation with examples Combination with examples Expected 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 course Friendly support in the Q&A section Udemy Certificate of Completion available for download 30-day money back guarantee Who this course is for: - 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 More Info Please check out others courses in your favourite language and bookmark them - - - -RapidGatorhttps://rapidgator.net/file/fe55b1c4f33c7b7f7dabb3c6f1253143/yxusj.AZ.Maths.for.Data.Science.part01.rarhttps://rapidgator.net/file/fa6da38d003d1678ee909e3edd5dd4d8/yxusj.AZ.Maths.for.Data.Science.part02.rarhttps://rapidgator.net/file/35288913ec3ec3c8b63087ee2934de89/yxusj.AZ.Maths.for.Data.Science.part03.rarhttps://rapidgator.net/file/bf58636db8e24ae5feea0afc1cf13f50/yxusj.AZ.Maths.for.Data.Science.part04.rarhttps://rapidgator.net/file/50586de248a4d72c71b319467c01d44a/yxusj.AZ.Maths.for.Data.Science.part05.rarhttps://rapidgator.net/file/5b8038d41a20c0986c8eb816b32be42c/yxusj.AZ.Maths.for.Data.Science.part06.rarhttps://rapidgator.net/file/2bbcbd4dae9b59001c402ebd579299ab/yxusj.AZ.Maths.for.Data.Science.part07.rarhttps://rapidgator.net/file/ec0c725a4e64c6e4bc85a888c0ac9fd7/yxusj.AZ.Maths.for.Data.Science.part08.rarhttps://rapidgator.net/file/d89b5facc04835d7aea1019c91adf811/yxusj.AZ.Maths.for.Data.Science.part09.rarhttps://rapidgator.net/file/f5e18adde928c4405cb77d7340d13f02/yxusj.AZ.Maths.for.Data.Science.part10.rarNitroFlarehttps://nitroflare.com/view/F9F56DC130FC620/yxusj.AZ.Maths.for.Data.Science.part01.rarhttps://nitroflare.com/view/5263F461FBD16E0/yxusj.AZ.Maths.for.Data.Science.part02.rarhttps://nitroflare.com/view/CE2DAC57E9DF675/yxusj.AZ.Maths.for.Data.Science.part03.rarhttps://nitroflare.com/view/AE913F1C92EAF00/yxusj.AZ.Maths.for.Data.Science.part04.rarhttps://nitroflare.com/view/5875145BE63EE20/yxusj.AZ.Maths.for.Data.Science.part05.rarhttps://nitroflare.com/view/8539A7ED20379C1/yxusj.AZ.Maths.for.Data.Science.part06.rarhttps://nitroflare.com/view/AA856BA1B5C5335/yxusj.AZ.Maths.for.Data.Science.part07.rarhttps://nitroflare.com/view/CFE5ED37D2982EC/yxusj.AZ.Maths.for.Data.Science.part08.rarhttps://nitroflare.com/view/EC28A36A168E302/yxusj.AZ.Maths.for.Data.Science.part09.rarhttps://nitroflare.com/view/A1304346AC2449C/yxusj.AZ.Maths.for.Data.Science.part10.rarDDownloadhttps://ddownload.com/kyc4vzyuijkj/yxusj.AZ.Maths.for.Data.Science.part01.rarhttps://ddownload.com/334ix7m12kib/yxusj.AZ.Maths.for.Data.Science.part02.rarhttps://ddownload.com/e7wa9epgmmnu/yxusj.AZ.Maths.for.Data.Science.part03.rarhttps://ddownload.com/5vgf17v01p90/yxusj.AZ.Maths.for.Data.Science.part04.rarhttps://ddownload.com/lqh2rh10nzvp/yxusj.AZ.Maths.for.Data.Science.part05.rarhttps://ddownload.com/v9c4bp5qdixi/yxusj.AZ.Maths.for.Data.Science.part06.rarhttps://ddownload.com/ilq698v8d4c9/yxusj.AZ.Maths.for.Data.Science.part07.rarhttps://ddownload.com/hutpx0klhnj6/yxusj.AZ.Maths.for.Data.Science.part08.rarhttps://ddownload.com/6rp6i566e29q/yxusj.AZ.Maths.for.Data.Science.part09.rarhttps://ddownload.com/6qmy6e1utg8v/yxusj.AZ.Maths.for.Data.Science.part10.rar Link to comment Share on other sites More sharing options...
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