Data analysis visualization using de embarak ossama (18 resultados)

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Taschenbuch. Condición: Neu. Data Analysis and Visualization Using Python | Analyze Data to Create Visualizations for BI Systems | Ossama Embarak | Taschenbuch | xx | Englisch | 2018 | Apress | EAN 9781484241080 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with editors such as Jupyter Notebook and Spyder. After going through a primer on Python programming, you will grasp fundamental Python programming techniques used in data science. Moving on to data visualization, you will see how it caters to modern business needs and forms a key factor in decision-making. You will also take a look at some popular data visualization libraries in Python.Shifting focus to data structures, you will learn the various aspects of data structures from a data science perspective. You will then work with file I/O and regular expressions in Python, followed by gathering and cleaning data. Moving on to exploring and analyzing data, you will look at advanced data structures in Python. Then, you will take a deep dive into data visualization techniques, going through a number of plotting systems in Python.In conclusion, you will complete a detailed case study, where you'll get a chance to revisit the concepts you've covered so far.What You Will LearnUse Python programming techniques for data scienceMaster data collections in PythonCreate engaging visualizations for BI systemsDeploy effective strategies for gathering and cleaning dataIntegrate the Seaborn and Matplotlib plotting systemsWho This Book Is ForDevelopers with basic Python programming knowledge looking to adopt key strategies for data analysis and visualizations using Python. 396 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with editors such as Jupyter Notebook and Spyder. After going through a primer on Python programming, you will grasp fundamental Python programming techniques used in data science. Moving on to data visualization, you will see how it caters to modern business needs and forms a key factor in decision-making. You will also take a look at some popular data visualization libraries in Python.Shifting focus to data structures, you will learn the various aspects of data structures from a data science perspective. You will then work with file I/O and regular expressions in Python, followed by gathering and cleaning data. Moving on to exploring and analyzing data, you will look at advanced data structures in Python. Then, you will take a deep dive into data visualization techniques, going through a number of plotting systems in Python.In conclusion, you will complete a detailed case study, where you'll get a chance to revisit the concepts you've covered so far.What You Will LearnUse Python programming techniques for data scienceMaster data collections in PythonCreate engaging visualizations for BI systemsDeploy effective strategies for gathering and cleaning dataIntegrate the Seaborn and Matplotlib plotting systemsWho This Book Is ForDevelopers with basic Python programming knowledge looking to adopt key strategies for data analysis and visualizations using Python. …

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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Features a detailed business case on effective strategies on data visualizationSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 396 pp. Englisch.