What you'll learn
Define and recognize key descriptive statistics
Describe and distinguish the central limit theorem and law of large numbers
Identify strategies 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 strategies 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 begin 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

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