{"product_id":"data-visualization-with-python-training","title":"Data Visualization with Python Training","description":"\u003cdiv\u003e\u003cp\u003eIn this \u003cstrong\u003eData Visualization with Python\u003c\/strong\u003e Training course, you’ll learn how to use Python’s data visualization libraries, including NumPy, Pandas, Matplotlib, and Seaborn to better understand data analytics.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eData Visualization with Python Training Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cp\u003eLearn how to use various plot types with Python\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eExplore and work with different libraries for data visualization\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eUnderstand and create effective visualizations\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eImprove your Python data wrangling skills\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eWork with industry-standard tools, including \u003ca href=\"https:\/\/matplotlib.org\/\" title=\"Matplotlib: Visualization with Python\" target=\"_blank\" rel=\"external nofollow noopener\"\u003eMatplotlib\u003c\/a\u003e, Seaborn, and Bokeh\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eLearn different data formats and representations\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eLearn how to use Geoplotlib and \u003ca href=\"https:\/\/bokeh.org\/\" title=\"Bokeh: Visualization with Python\" target=\"_blank\" rel=\"external nofollow noopener\"\u003eBokeh\u003c\/a\u003e\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eContinue learning and face new challenges with after-course one-on-one instructor coaching\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eData Visualization with Python Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Fundamentals of Python\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eImportance of Data Visualization\u003c\/li\u003e\n\u003cli\u003eVisualization Using Python\u003c\/li\u003e\n\u003cli\u003eData Cleaning\u003c\/li\u003e\n\u003cli\u003eData Wrangling\u003c\/li\u003e\n\u003cli\u003eTypes of Data\u003c\/li\u003e\n\u003cli\u003eStatistics\u003c\/li\u003e\n\u003cli\u003eProbability\u003c\/li\u003e\n\u003cli\u003eExploratory Data Analysis\u003c\/li\u003e\n\u003cli\u003ePython\u003c\/li\u003e\n\u003cli\u003eJupyter Notebook\u003c\/li\u003e\n\u003cli\u003eGoogle Colab and Kaggle Notebooks\u003c\/li\u003e\n\u003cli\u003eJupyterLab\u003c\/li\u003e\n\u003cli\u003eBasic Python Data Types\u003c\/li\u003e\n\u003cli\u003eFlow Control\u003c\/li\u003e\n\u003cli\u003eSlicing\u003c\/li\u003e\n\u003cli\u003eDefining Functions\u003c\/li\u003e\n\u003cli\u003eLambdas\u003c\/li\u003e\n\u003cli\u003eClasses\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: NumPy and Pandas\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNumPy\u003c\/li\u003e\n\u003cli\u003eThe NumPy ndarray Object\u003c\/li\u003e\n\u003cli\u003eSlicing ndarrays\u003c\/li\u003e\n\u003cli\u003eBoolean Indexing\u003c\/li\u003e\n\u003cli\u003eElement-wise Arithmetic\u003c\/li\u003e\n\u003cli\u003eTranspose of a ndarray\u003c\/li\u003e\n\u003cli\u003eDot Products\u003c\/li\u003e\n\u003cli\u003eStacking\u003c\/li\u003e\n\u003cli\u003eSciPy\u003c\/li\u003e\n\u003cli\u003epandas\u003c\/li\u003e\n\u003cli\u003eSeries and DataFrames\u003c\/li\u003e\n\u003cli\u003eLoading and Saving Data With pandas\u003c\/li\u003e\n\u003cli\u003eCreating DataFrames\u003c\/li\u003e\n\u003cli\u003eInspecting Data\u003c\/li\u003e\n\u003cli\u003eSelecting Columns and Rows\u003c\/li\u003e\n\u003cli\u003eThe head() and tail() methods\u003c\/li\u003e\n\u003cli\u003eBasic Plots\u003c\/li\u003e\n\u003cli\u003eDescriptive Statistics From a DataFrame\u003c\/li\u003e\n\u003cli\u003eFiltering, Sorting, and Grouping\u003c\/li\u003e\n\u003cli\u003eReplacing Values and Renaming Columns\u003c\/li\u003e\n\u003cli\u003eJoining and Combining Dataframes\u003c\/li\u003e\n\u003cli\u003eReading Data From Files\u003c\/li\u003e\n\u003cli\u003eReading From a Relational Database\u003c\/li\u003e\n\u003cli\u003eLoading External Data From NoSQL Stores (MongoDB)\u003c\/li\u003e\n\u003cli\u003eSciPy\u003c\/li\u003e\n\u003cli\u003eSci-Kit Learn\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Visualization with Matplotlib\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eMatplotlib\u003c\/li\u003e\n\u003cli\u003eArchitecture\u003c\/li\u003e\n\u003cli\u003eThe Figure Object\u003c\/li\u003e\n\u003cli\u003eAxes, Labels, Titles, Legends and Grids\u003c\/li\u003e\n\u003cli\u003eReading Data from Files and Other DataSources\u003c\/li\u003e\n\u003cli\u003eThe pyplot \u003cabbr title=\"Application Programming Interface\"\u003eAPI\u003c\/abbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eThe plot() Method\u003c\/li\u003e\n\u003cli\u003eThe Format String\u003c\/li\u003e\n\u003cli\u003eMarkers and Line Styles\u003c\/li\u003e\n\u003cli\u003ePlotting Labelled Data\u003c\/li\u003e\n\u003cli\u003ePlotting Multiple Graphs on the Same Axes\u003c\/li\u003e\n\u003cli\u003eSaving Figures\u003c\/li\u003e\n\u003cli\u003eLabels and Titles\u003c\/li\u003e\n\u003cli\u003eAnnotations\u003c\/li\u003e\n\u003cli\u003eLegends\u003c\/li\u003e\n\u003cli\u003eLine Chart\u003c\/li\u003e\n\u003cli\u003eArea Chart\u003c\/li\u003e\n\u003cli\u003eStacked Area Chart\u003c\/li\u003e\n\u003cli\u003eScatter Plot\u003c\/li\u003e\n\u003cli\u003eBubble Chart\u003c\/li\u003e\n\u003cli\u003eHeat Map\u003c\/li\u003e\n\u003cli\u003eContour Plot\u003c\/li\u003e\n\u003cli\u003eHistogram\u003c\/li\u003e\n\u003cli\u003eKernel Density Estimate Plot\u003c\/li\u003e\n\u003cli\u003eBox Plots\u003c\/li\u003e\n\u003cli\u003eViolin Plots\u003c\/li\u003e\n\u003cli\u003eBar Plot\u003c\/li\u003e\n\u003cli\u003eGrouped bar or column chart\u003c\/li\u003e\n\u003cli\u003eStacked Bar Plots\u003c\/li\u003e\n\u003cli\u003eError bars\u003c\/li\u003e\n\u003cli\u003eRadar Plots\u003c\/li\u003e\n\u003cli\u003ePie Plots and Donuts\u003c\/li\u003e\n\u003cli\u003eTree Maps\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Simplifying Visualization with Seaborn\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSeaborn\u003c\/li\u003e\n\u003cli\u003eStyling\u003c\/li\u003e\n\u003cli\u003eScaling and the Plotting Context\u003c\/li\u003e\n\u003cli\u003eOverriding Context Settings with the rc Parameter\u003c\/li\u003e\n\u003cli\u003eThemes\u003c\/li\u003e\n\u003cli\u003eColors in Seaborn\u003c\/li\u003e\n\u003cli\u003eVarying Hue to Distinguish Categories\u003c\/li\u003e\n\u003cli\u003eVary Luminance to Represent Numbers\u003c\/li\u003e\n\u003cli\u003eChoosing a Palette with the color_palette() Function\u003c\/li\u003e\n\u003cli\u003eQualitative Color Palettes\u003c\/li\u003e\n\u003cli\u003eSequential Palettes\u003c\/li\u003e\n\u003cli\u003eDiverging Palettes\u003c\/li\u003e\n\u003cli\u003eHistograms\u003c\/li\u003e\n\u003cli\u003eMultiple Histograms on the Same Axes\u003c\/li\u003e\n\u003cli\u003eKernel Density Plots\u003c\/li\u003e\n\u003cli\u003eBox Plots\u003c\/li\u003e\n\u003cli\u003eViolin Plots\u003c\/li\u003e\n\u003cli\u003eContour Plots\u003c\/li\u003e\n\u003cli\u003eThe FacetGrid\u003c\/li\u003e\n\u003cli\u003eSome Functions that Return a FacetGrid\u003c\/li\u003e\n\u003cli\u003ePair Plots\u003c\/li\u003e\n\u003cli\u003eThe relplot() Function\u003c\/li\u003e\n\u003cli\u003eThe regplot() and implot() Functions\u003c\/li\u003e\n\u003cli\u003eCreating a Regression Plot\u003c\/li\u003e\n\u003cli\u003eVariables That Take Discrete Values\u003c\/li\u003e\n\u003cli\u003eUsing a Representative value\u003c\/li\u003e\n\u003cli\u003eSquarify\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Plotting geospatial data with Geoplotlib\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGeoplotlib\u003c\/li\u003e\n\u003cli\u003eInput and Output\u003c\/li\u003e\n\u003cli\u003eInteraction\u003c\/li\u003e\n\u003cli\u003eThe dot Visualization\u003c\/li\u003e\n\u003cli\u003eZooming\u003c\/li\u003e\n\u003cli\u003e2D Histogram\u003c\/li\u003e\n\u003cli\u003eHeat Map\u003c\/li\u003e\n\u003cli\u003eVoronoi Tessellation\u003c\/li\u003e\n\u003cli\u003eSeed Points\u003c\/li\u003e\n\u003cli\u003eDelaunay Triangulation\u003c\/li\u003e\n\u003cli\u003e\u003cabbr title=\"Geographic JavaScript Object Notation\"\u003eGeoJSON\u003c\/abbr\u003e\u003c\/li\u003e\n\u003cli\u003eAdding Color and Tooltips\u003c\/li\u003e\n\u003cli\u003eTile Providers\u003c\/li\u003e\n\u003cli\u003eThe DarkMatter Tiles\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Adding interaction with Bokeh\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eHow Bokeh Works\u003c\/li\u003e\n\u003cli\u003eBokeh Server\u003c\/li\u003e\n\u003cli\u003eProgramming Interfaces\u003c\/li\u003e\n\u003cli\u003eThe Bokeh Models\u003c\/li\u003e\n\u003cli\u003eGlyphs, Plots, and Layouts\u003c\/li\u003e\n\u003cli\u003eThe bokeh.plotting Interface\u003c\/li\u003e\n\u003cli\u003eSome Glyph Methods on the Figure Object\u003c\/li\u003e\n\u003cli\u003eWidgets in Bokeh\u003c\/li\u003e\n\u003cli\u003eUsing Bokeh Server\u003c\/li\u003e\n\u003cli\u003eSetting Up the Widgets\u003c\/li\u003e\n\u003cli\u003eThe TextField Widget\u003c\/li\u003e\n\u003cli\u003eThe Other Widgets\u003c\/li\u003e\n\u003cli\u003eRunning Bokeh Server\u003c\/li\u003e\n\u003cli\u003eWidgets Using CustomJS\u003c\/li\u003e\n\u003cli\u003eWidgets with ipwidgets\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"268A53US \/ 2026-08-12T09:00:00 \/ Herndon, VA","offer_id":47534217396443,"sku":"US-1274-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"26BA94US \/ 2026-11-18T09:00:00 \/ Herndon, VA","offer_id":48216588943579,"sku":"US-1274-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"272A63US \/ 2027-02-03T09:00:00 \/ Herndon, VA","offer_id":48216588976347,"sku":"US-1274-IL","price":2228.0,"currency_code":"USD","in_stock":true},{"title":"275A87US \/ 2027-05-05T09:00:00 \/ Herndon, 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