Praktyczne szkolenia na żywo z Data Visualization pokazuje jak poprzez praktyczne ćwiczenie nabywać nowe umiejętności, tworzyć strategie, narzędzia i podejścia do wizualizacji oraz raportowanie danych dla różnych grup odbiorców. Na szkoleniu Data Visualization będą dokonywane analizy studiów przypadków, które będą poddawane analizie i omawiane, aby pokazać, w jaki sposób rozwiązania wizualizacji danych są stosowane w świecie rzeczywistym, aby wyprowadzić znaczenie z danych i odpowiedzieć na kluczowe pytania.
Szkolenie z wizualizacji danych (Data Visualization) są dostępne jako "szkolenie na miejscu" lub "szkolenie na żywo". Szkolenie stacjonarne może odbywać się lokalnie w siedzibie klienta w Polsce lub w ośrodkach szkoleniowych NobleProg w Polsce. Zdalne szkolenie online odbywa się za pomocą interaktywnego, zdalnego pulpitu DaDesktop .
NobleProg -- Twój lokalny dostawca szkoleń.
Opinie uczestników
dokładnie wyjaśniona tematyka.
ING Business Shared Services B.V.
Szkolenie: ELK: Elasticsearch, Logstash and Kibana for administrators
przykłady z życia
ING Business Shared Services B.V.
Szkolenie: ELK: Elasticsearch, Logstash and Kibana for administrators
Wiedza prowadzącego, indywidualna pomoc, odpowiadanie na dużo pytań kursantów
Michalina Antos - ING Business Shared Services B.V.
Szkolenie: ELK: Elasticsearch, Logstash and Kibana for administrators
Próba rozwiązania problemu postawionego po stronie uczestników
ING Business Shared Services B.V.
Szkolenie: ELK: Elasticsearch, Logstash and Kibana for administrators
pokazywanie zagadnień, z którymi możemy spotkać się w naszej pracy.
Ośrodek Przetwarzania Informacji - PIB
Szkolenie: Praca z Oracle BI i BI Publisher
Przejście od podstaw do rzeczy bardziej szczegółowych. Trener bardzo dobrze był przygotowany i świetnie odpowiadał na pytania.
Jeppesen Poland
Szkolenie: ELK: Elasticsearch, Logstash and Kibana for Administrators
spersonalizowanie szkolenia dla uczestników
EduBroker Sp. z o.o.
Szkolenie: QlikView for Developers
Omawiane zagadnienia, realizowane ćwiczenia (przykłady), atmosfera szkolenia, kontakt z Trenerem, lokalizacja.
Wojskowe Zakłady Uzbrojenia S.A. w Grudziądzu
Szkolenie: Octave nie tylko dla programistów
Zadania praktyczne.
Maciej Lorenc - Hicron sp. z o.o.
Szkolenie: Kibana: Essentials
zakres i wiedza trenera
Hicron sp. z o.o.
Szkolenie: Kibana: Essentials
Duza wiedza prowadzącego oraz sporo ciekawostek
ING Business Shared Services B.V.
Szkolenie: ELK: Elasticsearch, Logstash and Kibana for Administrators
Podobało mi sie podejscie trenera do szkolenia i praktyczne przykłady podczas zajęć
ING Business Shared Services B.V.
Szkolenie: ELK: Elasticsearch, Logstash and Kibana for Administrators
świetne przygotowanie do tematu, bardzo fajny sposób prowadzenia, niezwykle kompetencje
Daniel Górniak - ING Business Shared Services B.V.
Szkolenie: ELK: Elasticsearch, Logstash and Kibana for Administrators
Ciekawostki poparte przykładami
Michał Szczygieł - ING Business Shared Services B.V.
Szkolenie: ELK: Elasticsearch, Logstash and Kibana for Administrators
Wiedza prowadzącego, to w jaki sposób przechodził przez tematy. Super!
Sebastian Krzewiński Consulting; Żabka Polska sp. z o.o.
Szkolenie: ELK: Elasticsearch, Logstash and Kibana for Administrators
warsztaty
Mariusz Kowalczykowski - Sebastian Krzewiński Consulting; Żabka Polska sp. z o.o.
Szkolenie: ELK: Elasticsearch, Logstash and Kibana for Administrators
Wiedza, wiedza, wiedza, doswiadczenie, doswiadczenie, doswiadczenie !!!
PAWEŁ KORNAŚ - Sebastian Krzewiński Consulting; Żabka Polska sp. z o.o.
Szkolenie: ELK: Elasticsearch, Logstash and Kibana for Administrators
Bardzo dobry trener, ogromna wiedza i praktyczne doświadczenie:)
Piotr Wojciechowski - Centrum Informatyki Resortu Finansów
Szkolenie: ELK: Elasticsearch, Logstash and Kibana for Administrators
-
UPM-Kymmene Sp. z o.o.; UPM - Kymmene ; ; UPM-Kymmene SP. z o.o.; UPM-Kymmene Sp. z o.o.; UPM-Kymmene Sp. z o.o.; UPM-Kymmene Sp.z o.o. ; UPM-Kymmene Sp. z o.o.
Szkolenie: Power BI Dashboards
Bajery Power BI i lekcja historii o językach
Krzysztof Raczyński - UPM-Kymmene Sp. z o.o.; UPM - Kymmene ; ; UPM-Kymmene SP. z o.o.; UPM-Kymmene Sp. z o.o.; UPM-Kymmene Sp. z o.o.; UPM-Kymmene Sp.z o.o. ; UPM-Kymmene Sp. z o.o.
Szkolenie: Power BI Dashboards
Myślałem, że informacje są interesujące.
Allison May
Szkolenie: Data Visualization
Machine Translated
Naprawdę doceniam to, że Jeff wykorzystał dane i przykłady, które miały zastosowanie do danych edukacyjnych. Sprawił, że było to interesujące i interaktywne.
Carol Wells Bazzichi
Szkolenie: Data Visualization
Machine Translated
Poznanie wszystkich typów wykresów i ich zastosowania. Uczenie się wartości nieporządku. Poznanie metod pokazywania danych o czasie.
Susan Williams
Szkolenie: Data Visualization
Machine Translated
Trener był entuzjastyczny.
Diane Lucas
Szkolenie: Data Visualization
Machine Translated
Bardzo podobała mi się zawartość / instruktor.
Craig Roberson
Szkolenie: Data Visualization
Machine Translated
Jestem praktycznym uczniem i to było coś, co zrobił bardzo dużo.
Lisa Comfort
Szkolenie: Data Visualization
Machine Translated
Podobały mi się przykłady.
Peter Coleman
Szkolenie: Data Visualization
Machine Translated
Generalnie korzystałem z przykładów.
Peter Coleman
Szkolenie: Data Visualization
Machine Translated
Podobały mi się dobre przykłady z prawdziwego świata, przeglądy istniejących raportów.
Ronald Parrish
Szkolenie: Data Visualization
Machine Translated
Naprawdę czerpałem korzyści z pracy z DAX i raportowania.
Marine Benefits, Inc.
Szkolenie: Power BI for Business Analysts
Machine Translated
Plany szkoleń z technologii Data Visualization
Nazwa kursu
Czas trwania
Opis
Nazwa kursu
Czas trwania
Opis
14 godzin
In this instructor-led, live training in w Polsce, 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.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
28 godzin
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.
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 godzin
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 godzin
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
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 godzin
Szkolenie dedykowane osobom, które chciałyby zapoznać się z obsługą programu alternatywnego do komercyjnego pakietu MATLAB. Kurs trzydniowy dostarcza kompleksowo informacje dotyczące poruszania się po środowisku i wykonywaniu pakietu OCTAVE w zastosowaniu do analizy danych i obliczeń inżynierskich. Adresatami szkolenia są osoby początkujące ale także ci, którzy znają program i chcieliby usystematyzować swoją wiedzę i podnieść umiejętności. Nie jest wymagana znajomość innych języków programowania ale w znacznym stopniu ułatwi to uczestnikom przyswajanie wiedzy. Na kursie pokazane zostaną możliwości wykorzystania program na wielu przykładach praktycznych.
35 godzin
Oracle BI Publisher to rozwiązanie do tworzenia i zarządzania raportami. Uczestnicy zapoznają się z rozwiązaniami BI ułatwiającymi przygotowanie i dystrybucję raportów w oparciu o różne źródła danych za pomoca interfejsu www.
14 godzin
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
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
14 godzin
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
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
21 godzin
In this instructor-led, live training in w Polsce, 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.
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 godzin
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
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 godzin
In this instructor-led, live training in w Polsce (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.
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 godzin
In this instructor-led, live training in w Polsce, 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.
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 godzin
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
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 godzin
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
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 godzin
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 godzin
In this instructor-led, live training in w Polsce (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.
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 godzin
In this instructor-led, live training in w Polsce (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.
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.
35 godzin
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.
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 godzin
About the Course:
Microsoft Power BI transforms your company data into rich visuals that facilitate new ways of thinking about and organizing your data, so that you can focus on what is important to achieving your goals. This course covers both Power BI on Line and Power BI desktop.
Audience:
This course is intended for Business Managers, Report Developers, Analysts, Project Managers and Team Leads.
At Course Completion
Upon completing this course, students will have a basic understanding of the topics below, as well as an ability to utilize and implement the concepts learned.
- Power BI
- Power BI Desktop
- Working with CSV, TXT, and Excel Worksheets
- Connecting to Databases
- Merging, Grouping, Summarizing, and Calculating Data
- Reporting
- Power BI Online
Microsoft Power BI transforms your company data into rich visuals that facilitate new ways of thinking about and organizing your data, so that you can focus on what is important to achieving your goals. This course covers both Power BI on Line and Power BI desktop.
Audience:
This course is intended for Business Managers, Report Developers, Analysts, Project Managers and Team Leads.
At Course Completion
Upon completing this course, students will have a basic understanding of the topics below, as well as an ability to utilize and implement the concepts learned.
- Power BI
- Power BI Desktop
- Working with CSV, TXT, and Excel Worksheets
- Connecting to Databases
- Merging, Grouping, Summarizing, and Calculating Data
- Reporting
- Power BI Online
14 godzin
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
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
7 godzin
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.
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 godzin
This instructor-led, live training in w Polsce (online or onsite) is aimed at data analysts and web developers who wish to develop associative models in Qlik Sense.
By the end of this training, participants will be able to:
- Apply Qlik Sense in data science.
- Use and navigate the Qlik Sense interface.
- Build a data literate workforce with AI interaction.
- Create a data-driven enterprise with Qlik Sense.
By the end of this training, participants will be able to:
- Apply Qlik Sense in data science.
- Use and navigate the Qlik Sense interface.
- Build a data literate workforce with AI interaction.
- Create a data-driven enterprise with Qlik Sense.
14 godzin
QlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making.
In this instructor-led, live training, 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
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.
In this instructor-led, live training, 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
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 godzin
QlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making.
In this instructor-led, live training, 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
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, 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
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
28 godzin
About This Course
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
Audience Profile
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
At Course Completion
After completing this course, you will be able to:
- Ingest, clean, and transform data
- Model data for performance and scalability
- Design and create reports for data analysis
- Apply and perform advanced report analytics
- Manage and share report assets
- Create paginated reports in Power BI
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
Audience Profile
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
At Course Completion
After completing this course, you will be able to:
- Ingest, clean, and transform data
- Model data for performance and scalability
- Design and create reports for data analysis
- Apply and perform advanced report analytics
- Manage and share report assets
- Create paginated reports in Power BI
14 godzin
This instructor-led, live training in w Polsce 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.
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 godzin
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.
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 godzin
This instructor-led, live training in w Polsce (onsite or remote) is aimed at data analysts who wish to use Grafana for monitoring and visualizing data.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start creating visualizations in Grafana.
- Set up Grafana for high availability.
- Customize panels and dashboards with data.
- Configure a reverse proxy for fast loading speeds.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start creating visualizations in Grafana.
- Set up Grafana for high availability.
- Customize panels and dashboards with data.
- Configure a reverse proxy for fast loading speeds.
14 godzin
This instructor-led, live training in w Polsce (online or onsite) is aimed at web developers and DevOps engineers who wish to visualize and monitor data with Grafana and Graphite.
By the end of this training, participants will be able to:
- Aggregate and visualize metrics about systems and applications.
- Create a StatsD client for gathering application metrics.
- Build informative and dynamic dashboards with Grafana.
- Gather insights from back-end performance.
By the end of this training, participants will be able to:
- Aggregate and visualize metrics about systems and applications.
- Create a StatsD client for gathering application metrics.
- Build informative and dynamic dashboards with Grafana.
- Gather insights from back-end performance.
Last Updated:
Nadchodzące szkolenia z technologii Data Visualization
Praca z Oracle BI i BI Publisher
14-02-2022 09:00
Warszawa, ul. Złota 3 / 11
35 godzin
Zeppelin for Interactive Data Analytics
17-02-2022 09:00
Warszawa, ul. Złota 3 / 11
14 godzin
Embedding Projector: Visualizing Your Training Data
02-03-2022 09:00
Warszawa, ul. Złota 3 / 11
14 godzin
Apache Druid for Real-Time Data Analysis
09-03-2022 09:00
Warszawa, ul. Złota 3 / 11
21 godzin
Octave nie tylko dla programistów
22-03-2022 09:00
Warszawa, ul. Złota 3 / 11
21 godzin
Other regions
Other countries
Konsultacje
Szkolenie Data Visualization, Data Visualization boot camp, Szkolenia Zdalne Data Visualization, szkolenie wieczorowe Data Visualization, szkolenie weekendowe Data Visualization, Kurs Data Visualization,Kursy Data Visualization, Trener Data Visualization, instruktor Data Visualization, kurs zdalny Data Visualization, edukacja zdalna Data Visualization, nauczanie wirtualne Data Visualization, lekcje UML, nauka przez internet Data Visualization, e-learning Data Visualization, kurs online Data Visualization, wykładowca Data Visualization
.jpg "polska grupa farmaceutyczna (pgf)")
.png "ministerstwo spraw wewnętrznych i administracji (mswia)"){kind=small}
.jpg "komisja nadzoru finansowego (knf)"){kind=small}
.jpg "zakład ubezpieczeń społecznych (zus)")
.gif "telekomunikacja polska (tp)"){kind=small}
.jpg "ministerstwo obrony narodowej (mon)")
.jpg "ministerstwo kultury i dziedzictwa narodowego (mkidn)")
