Data Visualization Počítačové Kurzy

Data Visualization Počítačové Kurzy

Lokální instruktorem vedené Data Visualization školení České republice.

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Data Visualization Podkategorie

Data Visualization Návrh Školení

Název školení
Doba trvání
Přehled
Název školení
Doba trvání
Přehled
35 hodin
Participants who complete this training will gain a practical, real-world understanding of Data Science and its related technologies, methodologies and tools. Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class. The course starts with an introduction to elemental concepts of Data Science, then progresses into the tools and methodologies used in Data Science. Audience
  • Developers
  • Technical analysts
  • IT consultants
Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
14 hodin
In this instructor-led, live training in České republice, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire.  Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
14 hodin
Embedding Projector is an open-source web application for visualizing the data used to train machine learning systems. Created by Google, it is part of TensorFlow. This instructor-led, live training introduces the concepts behind Embedding Projector and walks participants through the setup of a demo project. By the end of this training, participants will be able to:
  • Explore how data is being interpreted by machine learning models
  • Navigate through 3D and 2D views of data to understand how a machine learning algorithm interprets it
  • Understand the concepts behind Embeddings and their role in representing mathematical vectors for images, words and numerals.
  • Explore the properties of a specific embedding to understand the behavior of a model
  • Apply Embedding Project to real-world use cases such building a song recommendation system for music lovers
Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
28 hodin
This course is intended for engineers and decision makers working in data mining and knoweldge discovery. You will learn how to create effective plots and ways to present and represent your data in a way that will appeal to the decision makers and help them to understand hidden information.
28 hodin
This course is intended for data engineers, decision makers and data analysts and will lead you to create very effective plots using R studio that appeal to decision makers and help them find out hidden information and take the right decisions  
21 hodin
Apache Druid is an open-source, column-oriented, distributed data store written in Java. It was designed to quickly ingest massive quantities of event data and execute low-latency OLAP queries on that data. Druid is commonly used in business intelligence applications to analyze high volumes of real-time and historical data. It is also well suited for powering fast, interactive, analytic dashboards for end-users. Druid is used by companies such as Alibaba, Airbnb, Cisco, eBay, Netflix, Paypal, and Yahoo. In this instructor-led, live course we explore some of the limitations of data warehouse solutions and discuss how Druid can compliment those technologies to form a flexible and scalable streaming analytics stack. We walk through many examples, offering participants the chance to implement and test Druid-based solutions in a lab environment.
Format of the Course
  • Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
21 hodin
Course is dedicated for those who would like to know an alternative program to the commercial MATLAB package. The three-day training provides comprehensive information on moving around the environment and performing the OCTAVE package for data analysis and engineering calculations. The training recipients are beginners but also those who know the program and would like to systematize their knowledge and improve their skills. Knowledge of other programming languages is not required, but it will greatly facilitate the learners' acquisition of knowledge. The course will show you how to use the program in many practical examples.
14 hodin
This instructor-led, live training introduces the concepts behind interactive data analytics and walks participants through the deployment and usage of Zeppelin in a single-user or multi-user environment. By the end of this training, participants will be able to:
  • Install and configure Zeppelin
  • Develop, organize, execute and share data in a browser-based interface
  • Visualize results without referring to the command line or cluster details
  • Execute and collaborate on long workflows
  • Work with any of a number of plug-in language/data-processing-backends, such as Scala (with Apache Spark), Python (with Apache Spark), Spark SQL, JDBC, Markdown and Shell.
  • Integrate Zeppelin with Spark, Flink and Map Reduce
  • Secure multi-user instances of Zeppelin with Apache Shiro
21 hodin
In this instructor-led, live training in České republice, participants will learn the skills, strategies, tools and approaches for visualizing and reporting data for different audiences. Case studies are also analyzed and discussed to exemplify how data visualization solutions are being applied in the real world to derive meaning out of data and answer crucial questions. By the end of this training, participants will be able to:
  • Write reports with captivating titles, subtitles, and annotations using the most suitable highlighting, alignment, and color schemes for readability and user friendliness.
  • Design charts that fit the audience's information needs and interests.
  • Choose the best chart types for a given dataset (beyond pie charts and bar charts.)
  • Identify and analyze the most valuable and relevant data quickly and efficiently.
  • Select the best file formats to include in reports (graphs, infographics, references, GIFs, etc.)
  • Create effective layouts for displaying time series data, part-to-whole relationships, geographic patterns, and nested data.
  • Use effective color-coding to display qualitative and text-based data such as sentiment analysis, timelines, calendars, and diagrams.
  • Apply the most suitable tools for the job (Excel, R, Tableau, mapping programs, etc.)
  • Prepare datasets for visualization.
7 hodin
The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble. In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse. By the end of this training, participants will be able to:
  • Perform data analysis and create appealing visualizations
  • Draw useful conclusions from various datasets of sample data
  • Filter, sort and summarize data to answer exploratory questions
  • Turn processed data into informative line plots, bar plots, histograms
  • Import and filter data from diverse data sources, including Excel, CSV, and SPSS files
Audience
  • Beginners to the R language
  • Beginners to data analysis and data visualization
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
21 hodin
In this instructor-led, live training in České republice (onsite or remote), participants will learn how to use Microsoft Power BI to analyze and visualize data using a series of sample data sets. By the end of this training, participants will be able to:
  • Create visually compelling dashboards that provide valuable insights into data.
  • Obtain and integrate data from multiple data sources.
  • Build and share visualizations with team members.
  • Adjust data with Power BI Desktop.
7 hodin
In this instructor-led, live training in České republice, participants will learn how to create web-based data-driven visualizations that run on multiple devices responsively. By the end of this training, participants will be able to:
  • Use D3 to create interactive graphics, information dashboards, infographics and maps.
  • Control HTML with jQuery-like selections.
  • Transform the DOM by selecting elements and joining to data.
  • Export SVG for use in print publications.
7 hodin
Highcharts is an open-source JavaScript library for creating interactive graphical charts on the Web. It is commonly used to represent data in a more user-readable and interactive fashion. In this instructor-led, live training, participants will learn how to create high-quality data visualizations for web applications using Highcharts. By the end of this training, participants will be able to:
  • Set up interactive charts on the Web using only HTML and JavaScript
  • Represent large datasets in visually interesting and interactive ways
  • Export charts to JPEG, PNG, SVG, or PDF
  • Integrate Highcharts with jQuery Mobile for cross-platform compatibility
Audience
  • Developers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
14 hodin
Tableau is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases. In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API. By the end of this training, participants will be able to:
  • Integrate Tableau and Python using TabPy API
  • Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code
Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
14 hodin
eCharts is a free JavaScript library used for interactive charting and data visualization. In this instructor-led, live training, participants will learn the fundamental functionalities of ECharts as they step through the process of creating and configuring charts using ECharts. By the end of this training, participants will be able to:
  • Understand the fundamentals of ECharts
  • Explore and utilize the various features and configuration options in ECharts
  • Build their own simple, interactive, and responsive charts with ECharts
Audience
  • Developers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
7 hodin
The objective of the course is to enable participants to gain a mastery of the fundamentals of R and how to work with data.
14 hodin
In this instructor-led, live training in České republice (online or onsite), participants will learn how to start developing with QlikView. By the end of this training, participants will be able to:
  • Install and configure QlikView.
  • Transform data from various sources through QlikView scripting.
  • Build data models with QlikView.
7 hodin
In this instructor-led, live training in České republice (online or onsite), participants will learn how to use QlikView to support decision making in their organization. By the end of this training, participants will be able to:
  • Install and configure QlikView.
  • Analyze and display data using QliKView.
  • Use data discoveries from QlikView to support decision making.
14 hodin
Co se týče kurzu: Společnost Microsoft Power BI transformuje vaše firemní údaje do bohatých vizuálů, které usnadňují nové způsoby myšlení a organizace vašich údajů, takže se můžete soustředit na to, co je důležité pro dosažení vašich cílů. Tento kurz pokrývá Power BI on Line a Power BI desktop. Veřejnost : Tento kurz je určen pro Business manažery, vývojáře zpráv, analytiky, manažery projektů a vedoucí týmu. Na závěrečném kurzu Po dokončení tohoto kurzu, studenti budou mít základní porozumění témat níže, stejně jako schopnost využít a implementovat pojmy, které se dozvěděli.
    [ 3 ] 3 Desktopová Práce s CSV, TXT a Excel Pracovní desky Připojení k Databases Shromáždění, seskupování, shrnutí a výpočet údajů Zpráva [ 3 ] Online
14 hodin
Learn how to Get & Transform Data to Prepare Interactive Dashboards Power BI is one of the most popular Data Visualization tool, and a Business Intelligence Tool. Power BI is a collection of data connectors, apps, and software services, which are used to get data from different source, transforms data, and produce beautiful reports. Power BI also allows you to publish them for your organization so that you can access them using mobiles, tablets etc. In this Power BI Tutorial, we will show you the step by step approach to connect with multiple data sources, data transformations, and creating reports like charts, tables, matrix, maps, etc  
14 hodin
Tableau helps people see and understand data.
7 hodin
Microsoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices. This instructor-led, live training (online or onsite) is aimed at business managers, business analysts, data analysts, report developers, and team leads who wish to design a perfect Power BI dashboard. By the end of this training, participants will be able to:
  • Design beautiful and efficient dashboards following the critical rules.
  • Choose the right charts based on the kind of data for display.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
14 hodin
Qlik Sense je cloud-based data analytical software pro analýzu a zobrazování dat. S aplikací Qlik Sense budou uživatelé schopni získat působivé poznatky tím, že se připojují k různým zdrojům dat a vytvářejí pokročilé vizualizace. Tento instruktor vedený, živý trénink (online nebo on-site) je zaměřen na analytiky dat a webové vývojáře, kteří chtějí rozvíjet asociativní modely v Qlik Sense. Po ukončení tohoto tréninku budou účastníci schopni:
    Aplikujte Qlik Sense v datové vědě. Použijte a navigujte na rozhraní Qlik Sense. Vytvořte data-literátní pracovní sílu s interakcí AI. Vytvořte podnik založený na údajích s využitím Qlik Sense.
Formát kurzu
    Interaktivní přednáška a diskuse. Mnoho cvičení a praxe. Hands-on implementace v živém laboratoři prostředí.
Možnosti personalizace kurzu
    Chcete-li požádat o přizpůsobené školení pro tento kurz, kontaktujte nás, abyste uspořádali.
14 hodin
QlikView je platforma, která poskytuje organizacím samoobslužné obchodní inteligenci. QlikView's čisté, jednoduché a jednoduché rozhraní umožňuje uživatelům snadno analyzovat data a používat data objevů na podporu rozhodování. V tomto instruktorově vedeném, živém tréninku se účastníci naučí, jak začít rozvíjet s QlikView. Po ukončení tohoto tréninku budou účastníci schopni:
    Instalace a nastavení QlikView Převod dat z různých zdrojů prostřednictvím QlikView skriptování Vytvořte datové modely s QlikView
Formát kurzu
    Interaktivní přednáška a diskuse. Mnoho cvičení a praxe. Hands-on implementace v živém laboratoři prostředí.
Možnosti personalizace kurzu
    Chcete-li požádat o přizpůsobené školení pro tento kurz, kontaktujte nás, abyste uspořádali.
14 hodin
QlikView je platforma, která poskytuje organizacím samoobslužné obchodní inteligenci. QlikView's čisté, jednoduché a jednoduché rozhraní umožňuje uživatelům snadno analyzovat data a používat data objevů na podporu rozhodování. V tomto instruktorově vedeném, živém tréninku se účastníci naučí, jak začít rozvíjet s QlikView. Po ukončení tohoto tréninku budou účastníci schopni:
    Instalace a nastavení QlikView Převod dat z různých zdrojů prostřednictvím QlikView skriptování Vytvořte datové modely s QlikView
Formát kurzu
    Částečná přednáška, částečná diskuse, cvičení a těžká praxe
Možnosti personalizace kurzu
    Chcete-li požádat o přizpůsobené školení pro tento kurz, kontaktujte nás, abyste uspořádali.
14 hodin
This instructor-led, live training in České republice (online or onsite) is aimed at data analysts and data scientists who wish to use Python to build interactive data visualizations directly from the code. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start creating data visualizations with Python.
  • Understand the data visualization core concepts, use cases, and tools.
  • Explore the different libraries (Matplotlib, Seaborn, Bokeh, and Folium) available in Python.
  • Learn how to create line plots, statistical graphs, geo-spatial, and other complex data visualizations with Python.
  • Know the best practices and techniques for presenting and interpreting data.
14 hodin
This instructor-led, live training in České republice is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Note that a minimum of 3 delegates is needed for this course to run. The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.
14 hodin
This training introduces Kibana to the users of Elasticsearch. Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps. Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.
14 hodin
Grafana je vizualizace a metrická analytická souprava. Grafana zobrazuje vizuální zobrazení dat v reálném čase pro analýzu aplikací. Grafana je nejčastěji používán pro domácí automatizaci, řízení procesů a další. Cílem kurzu je seznámit se s moderním nástrojem vizualizace dat používaným pro systémový monitoring - Grafana. Kurz je zaměřen na použití Grafana v časovém datovém prostředí. Účastníci získají operační a administrativní dovednosti denně pracovat s Grafana a nejoblíbenějšími datovými zdroji, jako jsou Prometheus a Graphite. Kromě toho je prezentován Loki - moderní, Grafana integrovaný přístup k získávání a prozkoumání záznamů. Kurz je založen na hands-on workshop, který bude trvat asi 75% kurzu času. Po ukončení tohoto tréninku budou účastníci schopni:
    Vytvořte potřebné rozvojové prostředí, aby se začalo vytvářet vizualizace v Grafana. Uložte Grafana pro vysokou dostupnost. Přizpůsobte panely a dashboards datem. Nastavení reverzního proxy pro rychlé nabití.
Formát kurzu
    Interaktivní přednáška a diskuse. Mnoho cvičení a praxe. Hands-on implementace v živém laboratoři prostředí.
Možnosti personalizace kurzu
    Chcete-li požádat o přizpůsobené školení pro tento kurz, kontaktujte nás, abyste uspořádali.
14 hodin
Grafana je open source vizualizace a metrické analytické soupravy pro vizualizace dat v reálném čase aplikace analytiky. Graphite je open source software pro sledování a grafování dat počítačového systému. Společně s Grafana a Gaphite, uživatelé jsou schopni rychle diagnostikovat systémové problémy a monitorovat výkon systému. Tento instruktor vedený, živý trénink (online nebo on-site) je zaměřen na webové vývojáře a DevOps inženýry, kteří chtějí vizualizovat a monitorovat data s Grafana a Graphite. Po ukončení tohoto tréninku budou účastníci schopni:
    Shromažďujte a vizualizujte metriky o systémech a aplikacích. Vytvořte klient StatsD pro shromažďování aplikací. Vytvořte informativní a dynamické dashboards s Grafana. Shromažďujte poznatky z pozadí výkonu.
Formát kurzu
    Interaktivní přednáška a diskuse. Mnoho cvičení a praxe. Hands-on implementace v živém laboratoři prostředí.
Možnosti personalizace kurzu
    Chcete-li požádat o přizpůsobené školení pro tento kurz, kontaktujte nás, abyste uspořádali.

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