Online or onsite, instructor-led live Wolfram training courses show participants how to program in Wolfram through interactive hands-on practice.
Wolfram training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Wolfram training can be carried out locally on customer premises in Guayaquil or in NobleProg corporate training centers in Guayaquil.
NobleProg -- Your Local Training Provider
Guayaquil - Mall del Sol
Mall del Sol, 4° Piso de las Torres del Centro Comercial, , Guayaquil , ecuador
The center is on the fourth floor of the Towers of the Mall, which forms the commercial and financial district of Guayaquil, ...
The center is on the fourth floor of the Towers of the Mall, which forms the commercial and financial district of Guayaquil, Ecuador's largest city. The center is highly accessible as it's next to major roads in the city, and is strategically close to the port and the international airport, which is five minutes by car. A regular bus and taxi service is available at the Mall del Sol entrance.
The Wolfram System's integrated environment makes it an efficient tool for both analyzing and presenting data. This course covers aspects of the Wolfram Language relevant to analytics, including statistical computation, visualization, data import and export and automatic generation of reports.
The "Mathematica - wprowadzenie, wizualizacja i prezentacja danych" training is aimed at participants with basic mathematical knowledge. Mathematica, as a powerful mathematical engine, enables effective calculations, creating text documents, building charts and presenting data. Participants will gain practical skills in working with Mathematica, used, among others, in mathematics, physics, biology, financial analysis and other fields.
This instructor-led, live training in Guayaquil (online or onsite) is aimed at data scientists who wish to use machine learning in Mathematica for data analysis.
By the end of this training, participants will be able to:
Build and train machine learning models.
Import and prepare data for machine learning.
Separate training data from test data.
Explore deep learning and neural network applications in data analysis.
Introduces the core technologies needed to become an adept user of Mathematica, including the Wolfram Language, the notebook interface, programming fundamentals, visualization and interactivity features, and mathematics and statistics functionality. Small class sizes allow for interaction with the instructor, and in-person courses allow additional time for discussion, exercises, and Q&A.
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