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Mathematica: An IntroductionJan 13
1 pm - 5 pm EST
Online
Data Science: Analysis and PresentationJan 15
1 pm - 5 pm EST
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CDF: Authoring Interactive ContentJan 20
1 pm - 5 pm EST
Online
Mathematica: An IntroductionJan 22
11 am - 5 pm
Tokyo, Japan

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Learn from quick-start and in-depth courses on demand or register for scheduled live courses. Choose an area to browse Wolfram Training courses about Mathematica, SystemModeler, the Computable Document Format (CDF), and other Wolfram technologies:

General Mathematica Overviews and detailed introductions to data processing, numerics, and other areas Browse courses»    Data Science Statistics and data analysis, linear and nonlinear models, and graphs and networks Browse courses»    Finance Specialized functions for analysis, time value, trading, derivatives, and much more Browse courses»
Software Development Develop enterprise-class web or desktop applications and interactive websites Browse courses»    Engineering Numerical computing, control systems, wavelet analysis, and other technologies for your engineering workflow Browse courses»    Wolfram SystemModeler Overviews and detailed introductions to modeling and simulation with Wolfram SystemModeler Browse courses»
Image Processing Real-world applications of a comprehensive image processing environment Browse courses»    High-Performance Computing Parallel computation and GPU computing with CUDA or OpenCL Browse courses»    Computable Document Format Get started creating and deploying interactive content with CDF Browse courses»
Education Mathematica, Wolfram|Alpha, and more for education, from interactive teaching to graduate-level research Browse courses»    Graphics & Visualization Image creation and processing, function and data visualization, animations, interactive infographics, and 3D models Browse courses»      


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Find how many elements were discovered by country: SortBy[Tally[Flatten[Table[ElementData[z,"DiscoveryCountries"], {z, 1, 108}]]], Last] A position that explicitly refers to the ITRF00 reference frame: GeoPosition[{40.112981, -88.261227, 192.868}, "ITRF00"] Shift a time series ahead 2.5: ts = RandomFunction[ARProcess[{.1}, 1], {1, 10}];shift = TimeSeriesShift[ts, 2.5];ListLinePlot[{ts, shift}] 


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