Навучальныя курсы Data Analysis

This instructor-led, live training in Беларусь (online or onsite) is aimed at data engineers and analysts who wish to learn beginner to intermediate-level knowledge of using AWS Glue to set up a data pipeline. By the end of this training, participants will be able to:

• Understand the fundamentals of AWS Glue.
• Set up an AWS Glue pipeline.
• Set up AWS Glue crawlers and jobs.
• Learn how to use AWS Glue transformations.

This instructor-led, live training in Беларусь (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis. By the end of this training, participants will be able to:

• Perform data analysis using Python, R, and SQL.
• Create insights through data visualization with Tableau.
• Make data-driven decisions for business operations.

This instructor-led, live training in Беларусь (online or onsite) is aimed at analysts who wish to use TM1 to analyze and customize reports and templates for data in a database. By the end of this training, participants will be able to:

• Learn how to analyze data using IBM Planning Analytics.
• Create custom views of the data in a database.
• Build reports and forms that communicate with TM1.

This instructor-led, live training in Беларусь (online or onsite) is aimed at data analysts and data scientists who wish to use the MongoDB Aggregation Framework to perform data analysis while simplifying complex operations and aggregation pipelines. By the end of this training, participants will be able to:

• Install and configure MongoDB for data analysis.
• Understand the concepts and stages of the MongoDB Aggregation Framework.
• Learn about the basic structure, syntax, and operations for aggregation.
• Learn how to handle advanced operations in aggregation.
• Apply some optimization tools and techniques to improve aggregation performance.

This instructor-led, live training in Беларусь (online or onsite) is aimed at developers and system administrators who wish to learn and use Sisense for big data manipulation and visualization. By the end of this training, participants will be able to:

• Learn the fundamental concepts of Sisense and how it works.
• Create a Sisense dashboard to visualize big data and execute data-driven business decisions.
• Merge and manage data from multiple sources.
• Utilize Sisense for quick data manipulation and visualization.

This instructor-led, live training in Беларусь (online or onsite) is aimed at business professionals who wish to learn intermediate-level skills for managing organizational charts using OrgPlus 6. By the end of this training, participants will be able to:

• Handle large data sets with sophisticated formatting tools.
• Create data visualization reports and directories.
• Use OrgPlus printing, exporting, and publishing features.
• Navigate complex charts with ease.

This instructor-led, live training in Беларусь (online or onsite) is aimed at data analysts or anyone who wishes to use AWS QuickSight data analysis and visualization. By the end of this training, participants will be able to:

• Understand the basic concepts of AWS QuickSight.
• Use AWS QuickSight to create data analysis, reports, and insights.
• Use AWS to create relationships between data for enhanced analysis.
• Learn different types of visualizations in understanding data.

This instructor-led, live training in Беларусь (online or onsite) is aimed at data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization. By the end of this training, participants will be able to:

• Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
• Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
• Get a refresher on the fundamentals of Python and SQL.
• Perform data pre-processing techniques in Python.
• Learn how to connect Python and SQL for data analysis.
• Create insightful data visualizations and charts with Tableau.

This instructor-led, live training in Беларусь (online or onsite) is aimed at data scientists and data analysts who wish to learn how to use each tool in the developer tool palette in Alteryx Designer. By the end of this training, participants will be able to:

• Learn to use and configure all the tools in the developer tab.
• Design efficient workflows in Alteryx using the dynamic, validation, and testing tools.
• Learn how to use API tools to download and parse web data.
• Use Alteryx scripting tools, including Python and R.

This instructor-led, live training in Беларусь (online or onsite) is aimed at data analysts who wish to perform product and user analysis using Mixpanel. By the end of this training, participants will be able to:

• Learn how to use Mixpanel as a web analytics tool.
• Understand the Mixpanel concepts and implementation.
• Understand and interpret event data.

This instructor-led, live training in Беларусь (online or onsite) is aimed at analysts who wish to use Matomo to perform web analytics tasks such as generating a detailed report on the usage of a website. By the end of this training, participants will be able to:

• Understand how Matomo works in analyzing web data.
• Learn how data is collected and tracked with Matomo.
• Understand and interpret Matomo reports.

This instructor-led, live training in Беларусь (online or onsite) is aimed at developers who wish to learn how Datadog works in monitoring servers, databases, and cloud-based applications and services. By the end of this training, participants will be able to:

• Learn and understand how the Datadog monitoring tool works.
• Understand the Datadog core concepts and features.
• Configure Datadog for infrastructure monitoring and account management.
• Use Datadog Application Performance Monitoring (APM) and continuous profiling.

This instructor-led, live training in Беларусь (online or onsite) is aimed at data scientists and developers who wish to set up, deploy, and manage data analytics solutions using Databricks. By the end of this training, participants will be able to:

• Set up and configure Databricks.
• Understand how Databricks and Apache Spark work together.
• Learn how to load and transform data in Databricks.

IBM SPSS Modeler — гэта праграмнае забеспячэнне, якое выкарыстоўваецца для металургіі дадзеных і тэкставай аналітыкі. Гэта прапануе набор інструментаў для выкарыстання дадзеных, якія могуць стварыць прагнозныя мадэлі і выконваць задачы аналітыкі дадзеных. Гэта інструктар-праведзены, жывы трэнінг (онлайн або на сайце) звязаны з аналітыкамі дадзеных або людзьмі, якія хочуць выкарыстоўваць SPSS Modeler для правядзення дадзеных мінеральных практыкаванняў. У канцы гэтага трэніру ўдзельнікі зможаць:

Узнагароджанне фундаментальных элементаў дадзеных. Продаж або маркетынг гэта ўменне, як зрабіць свае тавары і паслугі на рынку. Дадатковыя функцыі ўключаюць у сябе джакузі для поўнай рэлаксацыі і камінам, каб трымаць вас у цяпле.

Формат курса

Інтэрактыўныя лекцыі і дискусіі. Многія практыкаванні і практыкаванні. Вынікі ў Live-Lab Environment.

Вынікі пошуку - Customization options

Калі вы хочаце падзяліцца сваёй думкай з майстрам, рабіце гэта максімальна ветліва.

Удзельнікі, якія завершаюць гэты інструктар-праведзены, жывы трэнінг атрымае практычнае, рэальнае разуменне Big Data і яго звязаных тэхналогій, методык і інструментаў. У будучыні гэта можа стаць выдатным і паспяховым бізнесам. Кніга, якую называюць беларускім “высокім” фэнтэзі, расказвае пра хлопца Яся, што апынуўся ў дзівоснай краіне Эферыі. Курс пачынаецца з ўведвання ў элементарныя концепцыі Big Data, а затым праходзіць у праграмныя мовы і методыкі, якія выкарыстоўваюцца для выканання Data Analysis. Дазволілі гэта, я так адчуваю, таму, што ўсё начальства ўжо святкавала Новы год. Формат курса

Частка лекцыі, частковая дыскусія, практыкаванні і працэдуры, часты квізінг для памеры працэс.

R is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students.  It covers language fundamentals, libraries and advanced concepts.  Advanced data analytics and graphing with real world data. Audience Developers / data analytics Duration 3 days Format Lectures and Hands-on

Elasticsearch з'яўляецца адкрытым, распаўсюджаным пошукам. Ён звычайна выкарыстоўваецца разам з Logstash (машына збору дадзеных і лог-парсінг) і Kibana (аналітыкі і візуалізацыйнай платформы) для складання "ELK stack". Гэта інструктар-праведзены, жывы трэнінг звязаны з праграмнае забеспячэнне, які хоча стварыць пошук і аналітычныя рашэнні з дапамогай Elasticsearch. Трэці варыянт - самы танны - зрабіць усё самому. Да гэтага часу кампанія атрымала ганаровае званне "Fujian Technology Enterprise" і сертыфікаты на сертыфікацыю HDMI Adopter. кампаніяй HDMI Licensing, LLC. Дадатковыя функцыі ўключаюць у сябе джакузі для поўнай рэлаксацыі і камінам, каб трымаць вас у цяпле і сытна. Формат курса

Нагод для гордасці за родны раён шмат. Большасць з іх вывучаюцца з дапамогай выпрабаванняў, практыкаванняў і практыкаванняў.

Вынікі пошуку - Customization options

Калі вы хочаце падзяліцца сваёй думкай з майстрам, рабіце гэта максімальна ветліва.

This course covers how to use Hive SQL language (AKA: Hive HQL, SQL on Hive, HiveQL) for people who extract data from Hive

In the first part of this training, we cover the fundamentals of MATLAB and its function as both a language and a platform.  Included in this discussion is an introduction to MATLAB syntax, arrays and matrices, data visualization, script development, and object-oriented principles. In the second part, we demonstrate how to use MATLAB for data mining, machine learning and predictive analytics. To provide participants with a clear and practical perspective of MATLAB's approach and power, we draw comparisons between using MATLAB and using other tools such as spreadsheets, C, C++, and Visual Basic. In the third part of the training, participants learn how to streamline their work by automating their data processing and report generation. Throughout the course, participants will put into practice the ideas learned through hands-on exercises in a lab environment. By the end of the training, participants will have a thorough grasp of MATLAB's capabilities and will be able to employ it for solving real-world data science problems as well as for streamlining their work through automation. Assessments will be conducted throughout the course to gauge progress. Format of the Course

• Course includes theoretical and practical exercises, including case discussions, sample code inspection, and hands-on implementation.

Note

• Practice sessions will be based on pre-arranged sample data report templates. If you have specific requirements, please contact us to arrange.

Audience Analysts, researchers, scientists, graduates and students and anyone who is interested in learning how to facilitate statistical analysis in Microsoft Excel. Course Objectives This course will help improve your familiarity with Excel and statistics and as a result increase the effectiveness and efficiency of your work or research. This course describes how to use the Analysis ToolPack in Microsoft Excel, statistical functions and how to perform basic statistical procedures. It will explain what Excel limitation are and how to overcome them.

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.

This instructor-led, live training in Беларусь (online or onsite) is aimed at data analysts who wish to learn techniques for preparing data in Excel, then visualizing it in Power BI. By the end of this training, participants will be able to:

• Understand the principles of data analysis, objectives of data analysis, and approaches for data analysis.
• Use DAX formulas in Power BI for complex calculations.
• Create and use visualizations and charts for particular analysis cases.
• Import with Power View to move from Excel based Power BI to independent Power BI.

Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to questions:  What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

The course itself can be delivered either as a 6 day classroom course or remotely over a period of weeks if preferred. We can work with you to deliver the course to best suit your needs.

Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.

It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data. This instructor-led, live course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements. By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance.

Format of the Course

• Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding

This instructor-led, live training (online or onsite) is aimed at HR professionals and recruitment specialists who wish to use analytical methods improve organisational performance. This course covers qualitative as well as quantitative, empirical and statistical approaches. Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

У гэтым выпадку пешаходы, якія сканчаюць пераход, уяўляюць істотную небяспеку (мал. Базы дадзеных (Oracle, SQL Сервер, MS Access...). Узнагароджанне аналітычных функцый і Як злучыць розныя табліцы ў базу дадзеных дапамагае дэлегатам перайсці да аналізу дадзеных Аперацыі на боку базы дадзеных, а не рабіць гэта ў MS Excel прыкладзе. Гэта можа быць таксама Яго выкарыстоўваюць банкі для правядзення міжнародных валютных аперацый.

Р — папулярны мова праграмавання ў фінансавай індустрыі. Яго выкарыстоўваюць банкі для правядзення міжнародных валютных аперацый. У гэтым інструктар-праведзены, жывы трэнінг, удзельнікі навучаюцца, як выкарыстоўваць R для развіцця практычных прыкладаў для рашэння некалькіх праблем, звязаных з фінансамі. У канцы гэтага трэніру ўдзельнікі зможаць:

Узнагароджанне мовазнаўства R Выбраць і выкарыстоўваць R пакеты і тэхналогіі для арганізацыі, візуалізацыі і аналізу фінансавых дадзеных з розных крыніц (CSV, [0), баз дадзеных, вэб і інш.) Зацверджаць праграмы, якія спраўляюць з праблемамі, звязанымі з аддзяленням актываў, аналізам ризикаў, інвестыцыйнай выдатнасці і многае іншае Забяспечыць энергетычную бяспеку і энергетычную незалежнасць краіны.

Адукацыя

Распрацоўнікі аналітыкі Колькасць

Формат курса

Частныя лекцыі, частковая дискусія, практыкаванні і цяжкія практыкаванні

Узнагароды

Гэта выдатная платформа для выказвання маладымі людзьмі сваіх пазіцый, іх абмеркавання. Калі вы таксама хочаце прывабіць удачу на свой лад, бярыце прыклад з герояў нашага матэрыяла!

Knowledge discovery in databases (KDD) is the process of discovering useful knowledge from a collection of data. Real-life applications for this data mining technique include marketing, fraud detection, telecommunication and manufacturing. In this instructor-led, live course, we introduce the processes involved in KDD and carry out a series of exercises to practice the implementation of those processes. Audience

• Data analysts or anyone interested in learning how to interpret data to solve problems

Format of the Course

• After a theoretical discussion of KDD, the instructor will present real-life cases which call for the application of KDD to solve a problem. Participants will prepare, select and cleanse sample data sets and use their prior knowledge about the data to propose solutions based on the results of their observations.

Apache Kylin з'яўляецца экстремальным, распаўсюджаным аналітычным матарам для вялікіх дадзеных. У гэтым інструктар-праведзены жывы трэнінг, удзельнікі навучаюцца, як выкарыстоўваць Apache Kylin для ўстаноўкі рэальнага часу дадзеныя склады. У канцы гэтага трэніру ўдзельнікі зможаць:

Загрузіць дадзеныя рэальнага часу з дапамогай Kylin Узнагароджанне Apache Kylin's магутныя функцыі, богаты SQL інтэрфейс, спарк кубінг і субсекундны справядлівасць

Узнагароды

Мы выкарыстоўваем апошнюю версію Кайліна (паводле гэтай кнігі, Apache Kylin v2.0)

Адукацыя

Big Data інжынеры 0 0 Аналітыкі

Формат курса

Частныя лекцыі, частковая дискусія, практыкаванні і цяжкія практыкаванні