Statistics - Foundational and Intermediate Level

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Free Download Statistics - Foundational and Intermediate Level
Published 11/2024
Created by Arul mozhi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8 Lectures ( 3h 33m ) | Size: 1.1 GB

Foundational and Intermediate Level
What you'll learn
Research Interpretations and Conclusions
Meta-Analysis of Literature Reviews
Clinical Trial Design
Designing Surveys
Epidemiological Studies
Statistical Modeling
Requirements
Basic Maths knowledge
Description
Statistics is the branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. It is essential for understanding patterns, making predictions, and making informed decisions across various domains like business, healthcare, and research.This course introduces and explains key components of the following statistics topicsescriptive Statistics:Measures of central tendency: mean, median, modeMeasures of dispersion: variance, standard deviation, range, interquartile rangeSkewness and kurtosisProbability:Basic concepts: sample space, events, probability axiomsConditional probability and independenceBayes' theoremProbability distributions: discrete and continuousInferential Statistics:Sampling methods: random sampling, stratified sampling, cluster sampling, etc.Estimation: point estimation, interval estimationHypothesis testing: null and alternative hypotheses, p-values, type I and type II errorsConfidence intervalsProbability Distributionsrobability Mass Function (PMF)Probability Density Function (PDF)This course provides numerous examples and practice testsImportance of StatisticsDecision-Making: Used in business to predict trends, in medicine for clinical trials, and in government for policy decisions.Data Analysis: Provides tools to analyze large datasets effectively.Predictive Modeling: Helps predict future outcomes based on historical data.Quality Control: Ensures products meet specified standards.Statistics is the cornerstone of data-driven decision-making. By understanding measures of central tendency, dispersion, probability distributions, mathematical expectation, and inferential methods, we gain valuable insights into datasets and use them to solve real-world problems. This combination of theory and application makes statistics indispensable in today's data-rich world.
Who this course is for
Statisticians are employed in various fields ranging from advertising, medicine, sports, social workers, corporate companies, banks, politicians to scientific research. A course in statistics includes analysis, probability theory, learning statistical methods and database management systems.
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