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Data Science with Python : NOADS : Full Tutotrial 1.0.0
Data science is the process of deriving knowledge and insightsfroma huge and diverse set of data through organizing, processingandanalysing the data. It involves many different disciplineslikemathematical and statistical modelling, extracting data fromitsource and applying data visualization techniques. Often italsoinvolves handling big data technologies to gather bothstructuredand unstructured data. Below we will see some examplescenarioswhere Data science is used. Chapters Included DataScienceIntroduction Data Science Environment Setup Pandas NumpyMatplotlibData Operations Data cleansing Processing CSV DataProcessing JSONData Processing XLS Data Relational databases NoSQLDatabases Dateand Time Data Wrangling Data Aggregation Reading HTMLPagesProcessing Unstructured Data word tokenization StemmingandLemmatization Chart Properties Chart Styling Box Plots HeatMapsScatter Plots Bubble Charts 3D Charts Time Series GeographicalDataGraph Data Measuring Central Tendency Measuring VarianceNormalDistribution Binomial Distribution Poisson DistributionBernoulliDistribution P-Value Correlation Chi-square Test LinearRegression