Published 3/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 425.28 MB | Duration: 1h 27m
Learn fundamentals of decriptive statistics, central limit theorem,Sampling techniques, Hypothesis testing, Power sample What you'll learn Define and recognize key descriptive statistics Describe and distinguish the central limit theorem and law of large numbers Identify strats for constructing an unbiased sample Assemble and perform a two-tail or one-tail t-test Identify an appropriate sample size based on prior data Requirements No perquisites. Any one can take up this course Description Statistics FundamentalsKickstart your journey with Statistics by learning the foundational concepts needed to run and interpret statistical tests to support better decision-making.Use descriptive statistics to understand your dataLeverage inferential statistics to generate actionable insightsApply these concepts to help turn data into resultsStatistics Fundamentals Course OverviewStatistics Fundamentals introduces the foundational concepts needed to run a statistical test and interpret the results. We will overview the two branches of statistics–descriptive statistics and inferential statistics—and run hypothesis tests on real and simulated data sets using Excel’s Data Analysis Tool pack. We’ll also examine key fundamental concepts like the Central Limit Theorem, Empirical Rule, and Law of Large Numbers.The topics covered in this course will support you in conducting good analysis, applying data to business decisions, and exploring the more advanced topics within the Business Intelligence and Data Analysis program such as machine algorithms.Statistics Fundamentals Learning ObjectivesUpon completing this course, you will be able to:Define and recognize key descriptive statisticsDescribe and distinguish between the central limit theorem and law of large numbersIdentify strats for constructing an unbiased sampleAssemble and perform a two-tail or one-tail t-testIdentify an appropriate sample size based on prior data using a power analysisThe Statistics Fundamentals course is perfect for anyone without a background in statistics who would like to build up their understanding or for those who just want a refresher. This course is designed to equip anyone who desires to b a career in data analysis, quantitative analysis, business intelligence, or other areas of business and finance with an understanding of foundational statistics tools and concepts. Overview Section 1: About Statistics Lecture 1 What is Statistics ? Section 2: Understanding Variance and Standard Deviation Lecture 2 Variance and Standard Deviation Section 3: Understanding Descriptive Statistics Lecture 3 Descriptive Statistics Section 4: Understanding Data Visualization Lecture 4 Data Visualization Section 5: Understanding Sampling Techniques in Statistics Lecture 5 Sampling Statistics Section 6: Understanding Hypothesis Testing Lecture 6 Hypothesis Testing -Part 1 Lecture 7 Hypothesis Testing - Part 2 Section 7: Understanding Test Statistics Lecture 8 Test Statistics For any one who is non statistics background,Finance professionals who aspires to become analyst and do business analytics HomePage:
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