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Курс от Northeastern University 
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Data Analytics Engineering: Probability & Techniques
Курс от Northeastern University О курсе
This course offers students an opportunity to learn fundamentals of computation required to understand and analyze real world data. The course helps students to work with modern data structures, apply data cleaning and data wrangling operations. The course covers conceptual and practical applications of probability and distribution, cluster analysis, text analysis and time series analysis.
Навыки, которые вы освоите
Data CleansingData ManipulationPandas (Python Package)Exploratory Data AnalysisData StructuresData AnalysisData PreprocessingDescriptive StatisticsData WranglingUnsupervised LearningProbability DistributionComputational ThinkingStatistical MethodsProbability & StatisticsData ProcessingTime Series Analysis and ForecastingText MiningStatisticsStatistical AnalysisProgramming Principles
Программа курса
4 модулей · 37 учебных материалов
01Introduction to Python15 материалов
Учитесь у экспертов
Sri Radhakrishnan
Associate Professor