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Free Download Learn Statistics (2024) Published 10/2024 Created by Tracy Renee MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 37 Lectures ( 4h 32m ) | Size: 2.68 GB with Excel What you'll learnStudents will learn the theoretical concepts of statistics. students will lean about the theory and practice of the measure of central tendency. students will learn the theory and practice of the measure of variability. Students will learn the theory and practice of different visualisation techniques. Students will learn about the types of data used in statistics. Students will learn the theory and practical aspects of probility and distributions. Students will learn about sampling techniques in statistics Students will learn the theory and practicle aspects of the central limit theorem. Students will learn the theory and practical aspects of hypothesis testing. Students will learn about confidence intervals. Students will learn the theory and practical aspects of regression. Students will learn the theory and practical aspects of Bayesian statistics. Students will learn the theory and practical aspects of goodness of fit tests used in regression. Students will learn some real world examples that statistics is used in. RequirementsPractical knowledge of Excel DescriptionThis course is designed to give the student a basic understanding of statistics, how to create statistical models in Excel, and how to statistics in his day to day life. The student will learn the following subjects that relate specifically to statistics:-1. The student will learn the difference between descriptive and inferential statistics.2. The student will learn about the different types of data.3. The student will learn about the measure of central tendency.4. The student will learn about the measure of dispersion.5. the student will learn about the most appropriate visualisation techniques that can be used to present the data.6. The student will learn about the different types of probability distributions.7. The student will learn about the different types of sampling techniques.8. The student will learn about the central limit theorem.9. The student will learn about the various hypothesis testing techniques.10. The student will learn about confidence intervals.11. The student will learn about simple linear regression and multiple linear regression.12. The student will learn about Bayesian statistics.13. The student will learn about goodness of fit tests.14. The student will learn about real world applications of statistics. Who this course is forAnybody who wants to learn statistics for academic or professional reasons. Homepage https://www.udemy.com/course/learn-statistics-f/ Rapidgator https://rg.to/file/1b3e4426bf7fafb8e8b6616b8457ea4d/wyvke.Learn.Statistics.2024.part1.rar.html https://rg.to/file/2e286d85353ae4b6e0855460ddba0279/wyvke.Learn.Statistics.2024.part3.rar.html https://rg.to/file/bb5101aec01f454e0d1d51022f64136a/wyvke.Learn.Statistics.2024.part2.rar.html Fikper Free Download https://fikper.com/2AWmaOtR0c/wyvke.Learn.Statistics.2024.part1.rar.html https://fikper.com/LP9eFQc0KJ/wyvke.Learn.Statistics.2024.part2.rar.html https://fikper.com/TftJiHTdmy/wyvke.Learn.Statistics.2024.part3.rar.html No Password - Links are Interchangeable

Free Download Foundations of Probability and Statistics Published 10/2024 Created by EDUCBA Bridging the Gap MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 15 Lectures ( 1h 40m ) | Size: 593 MB Unlock the power of data with our comprehensive course on probability and statistics for effective data analysis! What you'll learn Understanding of Random Variables: Students will grasp the concept of random variables and their significance in probability theory. Probability Distributions: They will explore various probability distributions, including discrete and continuous distributions. Basic Probability Concepts: Students will learn the fundamentals of probability, including mutually exclusive events, independent events. Statistical Measures: The course will cover essential statistical measures, including mean, variance, and standard deviation, enabling students to summarize. Correlation and Covariance: Students will understand the relationships between variables through correlation and covariance, equipping them with tools. Moments and Skewness: They will learn about central moments and the characteristics of distributions, such as positive skewness. Estimation Techniques: The course will introduce the concept of the best linear unbiased estimator (BLUE) and its application in statistical analysis. Requirements Basic Mathematical Skills: Students should have a fundamental understanding of algebra and basic mathematical operations, as these are essential for grasping statistical concepts. High School Level Mathematics: Familiarity with high school-level mathematics, including functions, equations, and basic graphing, is recommended. Analytical Thinking: Students should possess strong analytical and critical thinking skills to interpret data and statistical results effectively. No Prior Statistics Knowledge Required: While prior knowledge of statistics is not mandatory, a willingness to engage with new concepts and a desire to learn are essential. Description Welcome to "Foundations of Probability and Statistics," a course tailored for aspiring data analysts, researchers, and anyone interested in understanding the core concepts of probability and statistics. In this course, you will explore the fundamental principles that govern random phenomena and the statistical techniques used to analyze and interpret data. Whether you are starting your journey in data science or seeking to enhance your analytical skills, this course provides a solid foundation in probability and statistics, setting you on the path to making informed decisions based on data.Section 1: Introduction to ProbabilityIn the first section, we lay the groundwork for understanding probability. You will begin with an introduction to random variables, which are the building blocks of probability theory, allowing you to quantify uncertainty. Next, we will explore probability distributions, which describe how probabilities are assigned to different outcomes. To solidify your understanding, we'll examine an engaging example of rolling two dice to illustrate the concepts in action. You will also learn the fundamental principles of probability itself, including mutually exclusive events, where the occurrence of one event precludes the occurrence of another. The section wraps up with an introduction to contingency tables and independent events, providing you with a comprehensive overview of probability concepts and their applications.Section 2: Basic StatisticsTransitioning to statistics, this section covers essential statistical concepts that will enhance your data analysis skills. We begin with an overview of basic statistics, followed by an in-depth exploration of mean and variance-two critical measures that summarize data sets. You will learn how to calculate standard deviation, providing insights into the dispersion of data points around the mean. Furthermore, we will delve into correlation and covariance, allowing you to understand relationships between variables. The section continues with a discussion on central moments, offering insights into the shape of data distributions, and concludes with the concept of positive skewed distribution and the best linear unbiased estimator, empowering you with the tools to analyze and interpret data effectively.Conclusion:By the end of this course, you will have a solid understanding of the key concepts in probability and statistics. You will be equipped with the analytical skills necessary to tackle real-world problems and make data-driven decisions. Whether you are looking to advance your career in data analysis or simply enhance your quantitative skills, "Foundations of Probability and Statistics" provides the knowledge and tools you need to succeed in a data-centric world. Join us on this exciting journey into the world of data analysis! Who this course is for Students in Related Fields: Individuals pursuing degrees in fields such as mathematics, statistics, data science, engineering, economics, or social sciences who need a solid foundation in probability and statistics. Professionals Seeking Data Literacy: Professionals from various industries looking to enhance their data analysis skills and improve their decision-making abilities through a better understanding of statistical principles. Lifelong Learners: Anyone interested in learning about probability and statistics for personal growth, including those preparing for advanced studies or certifications that require statistical knowledge. Individuals New to Statistics: Beginners with little to no prior knowledge of statistics who want to build a strong base in the subject to support further study or practical application in their careers. Homepage https://www.udemy.com/course/foundations-of-probability-and-statistics/ Screenshot Rapidgator https://rg.to/file/30813cf95f921c06cfce5059f59edea5/hmjmn.Foundations.of.Probability.and.Statistics.rar.html Fikper Free Download https://fikper.com/mVJw6x5ezj/hmjmn.Foundations.of.Probability.and.Statistics.rar.html No Password - Links are Interchangeable

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THE BOOK OF R, A First Course in Programming and Statistics - T. M. Davies ENG | PDF | 835 pages | 11 MB http://rg.to/file/d5cdcaa193c861eb47914918eb5d5569 http://ul.to/7855hb3q