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      Learn Data Science – Do Programming using Python & R in Mumbai


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      April 27, 2019

      Saturday   7:00 PM (on various days)

      3D4, 3rd Floor, D-Wing, Gundecha Onclave, Kherani Road, Next to Post Office, Sakinaka, Andheri (East)
      Mumbai, Mahārāshtra

      Performers:
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      EVENT DETAILS
      Learn Data Science – Do Programming using Python & R

      Python basics  1) Introduction2) Data types and operator3) List tuples and dictionaries4) Object oriented5) Exceptions handling6) File handling7) Modules NumPy  IntroductionEnvironmentNdarray ObjectData TypesArray AttributesArray Creation RoutinesArray from Existing DataArray From Numerical RangesIndexingSlicingBroadcastingArray ManipulationBinary OperatorsString FunctionsMathematical FunctionsArithmetic OperationsStatistical FunctionsSort, Search & Counting FunctionsByte SwappingCopies & ViewsMatrix LibraryLinear AlgebraI/O with NumPy Python Pandas  IntroductionData StructuresSeriesDataFramePanelBasic FunctionalityDescriptive StatisticsFunction ApplicationReindexingIterationSortingText DataOptionsCustomizationIndexingSelecting DataStatistical FunctionsWindow FunctionsAggregationsMissing DataGroupByMerging/JoiningConcatenationDate FunctionalityTimedeltaCategorical DataVisualizationIO ToolsSparse Data Data Loading, Storage, and File Formats  Reading and Writing Data in Text FormatReading Text Files in PiecesWriting Data Out to Text FormatManually Working with Delimited FormatsJSON DataXML and HTML: Web Scraping matplotlib API  Figures and SubplotsColors, Markers, and Line StylesTicks, Labels, and LegendsSubplotSaving Plots to Filematplotlib ConfigurationPlotting Functions in pandasLine PlotsBar PlotsHistograms and Density PlotsScatter PlotsPython Visualization Tool Ecosystem ETL operations SciPy  IntroductionBasic FunctionalityClusterConstantsFFTpackIntegrateInterpolateInput and OutputLinalgNdimageOptimizeStatsCSGraphSpatialODR R Programming Introduction to RR Packages R Programming R Programmingif statementsfor statementswhile statementsrepeat statementsbreak and next statementsswitch statementscan statementExecuting the commands in a FileData structuresVectorMatrixArrayData frameList Functions DPLYR & apply FunctionImport Data FileDPLYP – SelectionDPLYP – FilterDPLYP – ArrangeDPLYP – MutateDPLYP – Summarize Data visualization in R Bar chart, Dot plotScatter plot, Pie chartHistogram and Box plotHeat MapsWorld Cloud Introduction to statistics  Type of DataDistance Measures (Similarity, dissimilarity, correlation)Euclidean space.ManhattanMinkowskiCosine similarityMahalanobis distancePearson’s correlation coefficientProbability Distributions Hypothesis Testing I Hypothesis TestingIntroductionHypothesis Testing – T Test, Anova Hypothesis Testing II Hypothesis Testing about populationChi Square TestF distribution and F ratio Regression Analysis RegressionLinear Regression ModelsNon Linear Regression Models Classification  Classification Decision TreeLogistic RegressionBayesianSupport Vector Machinesa Clustering K-means Clustering and Case StudyDBSCAN Clustering and Case studyHierarchical Clustering Association Apriori AlgorithmCandidate GenerationVisualization on Associated Rules

      Categories: Other & Miscellaneous

      This event repeats on various days:

      Event details may change at any time, always check with the event organizer when planning to attend this event or purchase tickets.