Data Visualization is presenting data in a graphical format.
NobleProg onsite live Data Visualization training courses demonstrate through discussion and hands-on practice 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..
Data Visualization training is available in various formats, including onsite live training and live instructor-led training using an interactive, remote desktop setup. Local Data Visualization training can be carried out live on customer premises or in NobleProg local training centers.
회원 평가
정보가 재미 있다고 생각했습니다
Allison May
Course: Data Visualization
Machine Translated
Jeff는 교육 데이터에 적용 할 수있는 데이터와 예제를 사용했음을 정말로 감사드립니다. 그는 그것을 흥미롭고 대화식으로 만들었습니다
Carol Wells Bazzichi
Course: Data Visualization
Machine Translated
모든 차트 유형 및 해당 차트 유형에 대해 학습합니다. decluttering의 가치를 배우십시오. 시간 데이터를 표시하는 방법에 대해 학습합니다.
Susan Williams
Course: Data Visualization
Machine Translated
트레이너가 열렬했다
Diane Lucas
Course: Data Visualization
Machine Translated
내용 / 강사
Craig Roberson
Course: Data Visualization
Machine Translated
나는 손수 배우는 사람이고 이것은 그가 많이 한 일이었습니다.
Lisa Comfort
Course: Data Visualization
Machine Translated
예제
Peter Coleman
Course: Data Visualization
Machine Translated
예제
Peter Coleman
Course: Data Visualization
Machine Translated
좋은 실제 사례, 기존 보고서의 검토
Ronald Parrish
Course: Data Visualization
Machine Translated
철저하게 주제를 설명했다
ING Business Shared Services B.V.
Course: ELK: Elasticsearch, Logstash and Kibana for administrators
Machine Translated
삶의 본보기들
ING Business Shared Services B.V.
Course: ELK: Elasticsearch, Logstash and Kibana for administrators
Machine Translated
선생님에 대한 지식, 학생들의 개별적인 도움, 많은 질문에 답하기
Michalina Antos - ING Business Shared Services B.V.
Course: ELK: Elasticsearch, Logstash and Kibana for administrators
Machine Translated
이 문제를 해결하려는 시도는 참가자의 입장에서 제기되었습니다
ING Business Shared Services B.V.
Course: ELK: Elasticsearch, Logstash and Kibana for administrators
Machine Translated
DAX 및보고 작업
Marine Benefits, Inc.
Course: Power BI for Business Analysts
Machine Translated
마지막 부분은 보안이다
Marine Benefits, Inc.
Course: Power BI for Business Analysts
Machine Translated
DAX
Chris Amaza - Marine Benefits, Inc.
Course: Power BI for Business Analysts
Machine Translated
훈련 운동
Edward Dan Dree Manalad - Marine Benefits, Inc.
Course: Power BI for Business Analysts
Machine Translated
얼마나 역동적 인가요?
Isidoro Gutierrez Hernandez - Edenred Mexico
Course: ELK: ElasticSearch, Logstash y Kibana para administradores
Machine Translated
진실로 많은 실험실과 관행을 즐겼습니다.
Vivian Feng - Destination Canada
Course: Data Analysis with SQL, Python and Spotfire
Machine Translated
연습 / 실험실은 조직의 필요에 맞게 조정되었습니다.
Destination Canada
Course: Data Analysis with SQL, Python and Spotfire
Machine Translated
나는 일반적으로 그 주제를 좋아했다.
Destination Canada
Course: Data Analysis with SQL, Python and Spotfire
Machine Translated
이 도구는 매우 흥미 롭습니다.
Pernod Ricard Hong Kong Limited
Course: Power BI for Business Analysts
Machine Translated
매우 실용적인, 우리의 내부 데이터를 사용하여 연습.
Pernod Ricard Hong Kong Limited
Course: Power BI for Business Analysts
Machine Translated
교육 주제에 대해 명확하고 체계적으로 정리합니다. 현명한 대시 보드 및 보고서를 만들 수있는 PowerBI를 사용한 적이없는 사람들에게 좋습니다 ..
Pernod Ricard Hong Kong Limited
Course: Power BI for Business Analysts
Machine Translated
나는 운동을 즐겼다. 좋은 통찰력을 준다.
Andreas Kukacka
Course: ELK: Elasticsearch, Logstash and Kibana for Administrators
Machine Translated
매우 실용적인 접근 방식, 모든 질문에 대답했다.
Course: ELK: Elasticsearch, Logstash and Kibana for Administrators
Machine Translated
나는 엘크 스위트에 대한 개요를 가지고있다.
Course: ELK: Elasticsearch, Logstash and Kibana for Administrators
Machine Translated
나는 유지 하 고 과정 후 통해 작업 하는 자세한 노트에서 혜택을 했다.
Public Health Wales NHS Trust
Course: Introduction to Data Visualization with Tidyverse and R
Machine Translated
속도는 딱 이었고 편안한 분위기는 후보자 들에 게 질문을 쉽게 느끼게 했습니다.
Rhian Hughes - Public Health Wales NHS Trust
Course: Introduction to Data Visualization with Tidyverse and R
Machine Translated
나는 함께 따를 수 있는 좋은 모범과 기회 로부터 유익을 얻을 수 있었다.
Environmental and Climate Change Canada
Course: Foundation R
Machine Translated
나는 진정으로 손을 통과 연습을 즐겼다.
Yunfa Zhu - Environmental and Climate Change Canada
Course: Foundation R
Machine Translated
처음부터 사물을 보다 구체적으로 이동 합니다. 트레이너는 매우 잘 준비 하 고 완벽 하 게 질문에 대답 했다.
Jeppesen Poland
Course: ELK: Elasticsearch, Logstash and Kibana for Administrators
Machine Translated
좋은 예/시위
Ofqual
Course: D3.js for Data Visualization
Machine Translated
교육은 우리의 필요와 지식에 따라 훈련을 조정 합니다. 그는 참가자 들의 Power BI 경험을 이해 했습니다.
Cristian Tudor - Gilbarco ACIS SRL
Course: Creating Dashboards Using Microsoft Power BI
Machine Translated
praxis 도움말
A1 Telekom Austria AG
Course: ELK: Elasticsearch, Logstash and Kibana for Administrators
Machine Translated
차분한 분위기
A1 Telekom Austria AG
Course: ELK: Elasticsearch, Logstash and Kibana for Administrators
Machine Translated
실용적인 예에 대해 알리기
Martin Gobschiba - A1 Telekom Austria AG
Course: ELK: Elasticsearch, Logstash and Kibana for Administrators
Machine Translated
트레이너는 개인 이해에 대 한 매우 우려 했다.
Muhammad Surajo Sanusi - Birmingham City University
Course: Foundation R
Machine Translated
Excel 프레젠테이션을 빌려 주었고 지식으로 얻은 자신감을 얻을 수있었습니다.
Birmingham City University
Course: Foundation R
Machine Translated
트레이너의 배경 지식과 '출처'.
Francis McGonigal - Birmingham City University
Course: Foundation R
Machine Translated
자원
Hafiz Rana - Birmingham City University
Course: Foundation R
Machine Translated
Go 우리가 일을하는 방법에 대한 외경 설명을
Birmingham City University
Course: Foundation R
Machine Translated
트레이너가 펼치는 속도와 지식으로 Go . 연습과 예제는 우리의 작업 라인과 관련이 있습니다.
Tania Crespo - Grafton Merchanting GB
Course: Creating Dashboards Using Microsoft Power BI
Machine Translated
더 많은 것을 알기에 매우 유용한 DAX 로직
Illya Teideman - Grafton Merchanting GB
Course: Creating Dashboards Using Microsoft Power BI
Machine Translated
운동은 위대하고, 정말로 매력적이었으며, 더 많은 정보가 흡수되도록했습니다.
Rajiv Pattar - Grafton Merchanting GB
Course: Creating Dashboards Using Microsoft Power BI
Machine Translated
참가자를 위한 페르소타팅 교육
EduBroker Sp. z o.o.
Course: QlikView for Developers
Machine Translated
나는 지금 코딩에 자신감을 느낀다. 나는 전에 그것을 해본 적이 없지만, 이제는 로켓 과학이 아니라 필요할 때 그것을 할 수 있다는 것을 이해합니다.
Anna Yartseva - Birmingham City University
Course: Foundation R
Machine Translated
토론 된 문제, 수행 된 운동 (예), 훈련 분위기, 트레이너와의 접촉, 위치.
Wojskowe Zakłady Uzbrojenia S.A. w Grudziądzu
Course: Octave nie tylko dla programistów
Machine Translated
실용적인 작업.
Maciej Lorenc - Hicron sp. z o.o.
Course: Kibana: Essentials
Machine Translated
트레이너의 범위와 지식
Hicron sp. z o.o.
Course: Kibana: Essentials
Machine Translated
매우 실용적인 접근 방식, 모든 질문에 대답했다.
Course: ELK: Elasticsearch, Logstash and Kibana for Administrators
Machine Translated
나는 엘크 스위트에 대한 개요를 가지고있다.
Course: ELK: Elasticsearch, Logstash and Kibana for Administrators
Machine Translated
Data Visualization코스 개요
코스 이름
Duration
Overview
코스 이름
Duration
Overview
28 시간
Overview
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 시간
Overview
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 시간
Overview
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 시간
Overview
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 시간
Overview
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 시간
Overview
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 시간
Overview
In this instructor-led, live training in 대한민국, 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 시간
Overview
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 시간
Overview
In this instructor-led, live training in 대한민국 (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 시간
Overview
In this instructor-led, live training in 대한민국, 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 시간
Overview
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 시간
Overview
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
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 시간
Overview
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 시간
Overview
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 시간
Overview
In this instructor-led, live training in 대한민국 (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 시간
Overview
In this instructor-led, live training in 대한민국 (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 시간
Overview
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 시간
Overview
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 시간
Overview
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 시간
Overview
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 시간
Overview
This instructor-led, live training in 대한민국 (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 시간
Overview
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 시간
Overview
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.
14 시간
Overview
This instructor-led, live training in 대한민국 (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.
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 시간
Overview
This instructor-led, live training in 대한민국 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 시간
Overview
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 시간
Overview
This instructor-led, live training in 대한민국 (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 시간
Overview
This instructor-led, live training in 대한민국 (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.
21 시간
Overview
This instructor-led, live training in 대한민국 (online or onsite) is aimed at developers who wish to use BusinessEvents and ActiveMatrix Service Bus to develop, deploy, and manage event driven applications.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start developing.
- Build distributed, stateful, rule-based event-processing systems.
- Manage business events data and execute proper business rules.
- Reduce the event response time in large-scale, data driven applications.
- Build applications for fraud detection, track-and-trace, real-time customer offer generation, etc.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start developing.
- Build distributed, stateful, rule-based event-processing systems.
- Manage business events data and execute proper business rules.
- Reduce the event response time in large-scale, data driven applications.
- Build applications for fraud detection, track-and-trace, real-time customer offer generation, etc.
Last Updated:
향후Data Visualization 코스
13-12-2021 10:00
28 hours
13-12-2021 10:00
14 hours
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04-01-2022 10:00
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주말Data Visualization코스, 밤의Data Visualization트레이닝, Data Visualization부트 캠프, Data Visualization 강사가 가르치는, 주말Data Visualization교육, 밤의Data Visualization과정, Data Visualization코칭, Data Visualization강사, Data Visualization트레이너, Data Visualization교육 과정, Data Visualization클래스, Data Visualization현장, Data Visualization개인 강좌, Data Visualization1 대 1 교육
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