Upskilling Made Easy.
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This course provides a comprehensive foundation in statistics and probability, covering descriptive and inferential statistics, probability distributions, hypothesis testing, and data visualization. Learn essential statistical techniques, including measures of central tendency, dispersion, ANOVA, and Chi-Square tests, to make data-driven decisions in analytics, research, and data science applications.
20+20+20+5+
Gain expertise in statistical concepts, probability theory, and hypothesis testing with practical applications. Understand data distributions, correlation, sampling techniques, and statistical inference. The course includes hands-on problem-solving and visualization techniques, making it ideal for learners seeking to build strong analytical skills for research, data science, business analytics, and decision-making.
Statistical AnalysisProbability TheoryData VisualizationHypothesis TestingInferential StatisticsDescriptive StatisticsSampling TechniquesProbability DistributionsConfidence IntervalsStatistical Error Analysis
