Szkolenia Data Analysis

Szkolenia Data Analysis

Praktyczne szkolenia na żywo z Data Analysis pokazuje jak poprzez praktyczne ćwiczenia opanować podstawy i zaawansowane koncepcje. Na szkoleniu Data Analysis poznasz proces przetwarzania danych, które będziesz mógł następnie wykorzystać do różnych celów m.in jak tworzyć różne raporty na podstawie użytecznych informacji i wniosków. W zależności od rodzaju danych i stawianych problemów, może to oznaczać użycie metod statystycznych, eksploracyjnych i innych.

Szkolenia Data Analysis 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

★★★★★
★★★★★

Plany szkoleń z technologii Data Analysis

Nazwa kursu
Czas trwania
Opis
Nazwa kursu
Czas trwania
Opis
21 godzin
Opis
Szkolenie zostało przygotowane dla analityków biznesowych, którzy chcą wykorzystywać notację BPMN 2.0 w swoich projektach.

W trakcie zajęć głowny nacisk jest położony na praktyczne aspekty specyfikacji BPMN 2.0 jak również implementację popularnych struktur języka.

Szkolenie na formę warsztatową: krótkie wykłady są uzupełniane ćwiczeniami - diagramami do samodzielnego stworzenia na podstawie opisu problemu. Po zakończeniu każdego z ćwiczeń następuje dyskusja, porównanie i ocena rozwiązań przez grupę oraz trenera.

Kurs nie obejmuje zagadnień dotyczących wykonywania diagramów BPMN, koncentruje się na analizie i modelowaniu procesów w BPMN 2.0.
14 godzin
Opis
Kurs jes przeznaczony dla analityków, badaczy naukowych, statystyków, osób na co dzien wykorzystujących MS Excel w pracy oraz wszystkich tych którzy chcieliby poznać jakie możliwości daje analiza statystyczna w Excel.

Kurs poprawia znajomość programu Excel, statystyki, analizy statystycznej oraz zwiększa efektywności i skuteczność pracy czy też prowadzonych badań. Szkolenie opisuje jak używać Analysis ToolPack w programie Microsoft Excel, funkcji statystycznych oraz jak wykonywać procedury statystyczne. Szkolenie pokazuje ograniczenia Excela i wyjaśnia jak je przezwyciężyć.
28 godzin
Opis
Kurs przeznaczony jest dla osób pragnących nauczyć się języka programowania Python . Nacisk kładziony jest na język Python , podstawowe biblioteki, a także na wybór najlepszych i najbardziej przydatnych bibliotek opracowanych przez społeczność Python . Python napędza firmy i jest używany przez naukowców na całym świecie - jest to jeden z najpopularniejszych języków programowania.

Kurs może być prowadzony w Python 2.7.x lub 3.x, z praktycznymi ćwiczeniami wykorzystującymi pełną moc obu wersji języka. Ten kurs może być dostarczony w dowolnym systemie operacyjnym (wszystkie wersje UNIX, w tym Linux i Mac OS X, a także Microsoft Windows).

Ćwiczenia praktyczne stanowią około 70% czasu kursu, a około 30% to pokazy i prezentacje. W trakcie kursu można zadawać dyskusje i pytania.

Uwaga: szkolenie może być dostosowane do konkretnych potrzeb na wcześniejsze żądanie przed proponowaną datą kursu.
21 godzin
Opis
[R](http://www.r-project.org/) to bardzo popularne środowisko open source do obliczeń statystycznych, analizy danych i grafiki. Ten kurs wprowadza studentów programowania w języku R. Obejmuje podstawy językowe, biblioteki i zaawansowane koncepcje. Zaawansowana analiza danych i wykresy z danymi rzeczywistego świata.

Publiczność

Deweloperzy / analizy danych

Trwanie

3 dni

Format

Wykłady i praktyczne
7 godzin
Opis
This course covers how to use Hive SQL language (AKA: Hive HQL, SQL on Hive, HiveQL) for people who extract data from Hive
14 godzin
Opis
Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.
21 godzin
Opis
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.
21 godzin
Opis
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
35 godzin
Opis
Participants who complete this instructor-led, live training in w Polsce will gain a practical, real-world understanding of Big Data 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 Big Data, then progresses into the programming languages and methodologies used to perform Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability.
14 godzin
Opis
This instructor-led, live training in w Polsce is aimed at software developers who wish to build search and analytics solutions using Elasticsearch.

The training starts with a discussion of the Elasticsearch architecture, including its distributed model and search API. This is followed by an explanation of Elasticsearch's functionality and how to best integrate it into an existing application.

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 implementation and progress.
28 godzin
Opis
In this instructor-led, live training in w Polsce, participants will learn advanced Python programming techniques, including how to apply this versatile language to solve problems in areas such as distributed applications, data analysis and visualization, UI programming and maintenance scripting.
42 godzin
Opis
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](https://www.nobleprog.co.uk/instructor-led-online-training-courses) over a period of weeks if preferred. We can work with you to deliver the course to best suit your needs.
21 godzin
Opis
The aim of this course is to provide a clear understanding of the use of SQL for different
databases (Oracle, SQL Server, MS Access...). Understanding of analytic functions and the
way how to join different tables in a database will help delegates to move data analysis
operations to the database side, instead of doing this in MS Excel application. This can also
help in creating any IT system, which uses any relational database.
14 godzin
Opis
Apache Kylin is an extreme, distributed analytics engine for big data.

In this instructor-led live training, participants will learn how to use Apache Kylin to set up a real-time data warehouse.

By the end of this training, participants will be able to:

- Consume real-time streaming data using Kylin
- Utilize Apache Kylin's powerful features, rich SQL interface, spark cubing and subsecond query latency

Note

- We use the latest version of Kylin (as of this writing, Apache Kylin v2.0)

Audience

- Big data engineers
- Big Data analysts

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
14 godzin
Opis
Datameer is a business intelligence and analytics platform built on Hadoop. It allows end-users to access, explore and correlate large-scale, structured, semi-structured and unstructured data in an easy-to-use fashion.

In this instructor-led, live training, participants will learn how to use Datameer to overcome Hadoop's steep learning curve as they step through the setup and analysis of a series of big data sources.

By the end of this training, participants will be able to:

- Create, curate, and interactively explore an enterprise data lake
- Access business intelligence data warehouses, transactional databases and other analytic stores
- Use a spreadsheet user-interface to design end-to-end data processing pipelines
- Access pre-built functions to explore complex data relationships
- Use drag-and-drop wizards to visualize data and create dashboards
- Use tables, charts, graphs, and maps to analyze query results

Audience

- Data analysts

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
14 godzin
Opis
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
21 godzin
Opis
kdb+ is an in-memory, column-oriented database and q is its built-in, interpreted vector-based language. In kdb+, tables are columns of vectors and q is used to perform operations on the table data as if it was a list. kdb+ and q are commonly used in high frequency trading and are popular with the major financial institutions, including Goldman Sachs, Morgan Stanley, Merrill Lynch, JP Morgan, etc.

In this instructor-led, live training, participants will learn how to create a time series data application using kdb+ and q.

By the end of this training, participants will be able to:

- Understand the difference between a row-oriented database and a column-oriented database
- Select data, write scripts and create functions to carry out advanced analytics
- Analyze time series data such as stock and commodity exchange data
- Use kdb+'s in-memory capabilities to store, analyze, process and retrieve large data sets at high speed
- Think of functions and data at a higher level than the standard function(arguments) approach common in non-vector languages
- Explore other time-sensitive applications for kdb+, including energy trading, telecommunications, sensor data, log data, and machine and network usage monitoring

Audience

- Developers
- Database engineers
- Data scientists
- Data analysts

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
21 godzin
Opis
Data science is the application of statistical analysis, machine learning, data visualization and programming for the purpose of understanding and interpreting real-world data. F# is a well suited programming language for data science as it combines efficient execution, REPL-scripting, powerful libraries and scalable data integration.

In this instructor-led, live training, participants will learn how to use F# to solve a series of real-world data science problems.

By the end of this training, participants will be able to:

- Use F#'s integrated data science packages
- Use F# to interoperate with other languages and platforms, including Excel, R, Matlab, and Python
- Use the Deedle package to solve time series problems
- Carry out advanced analysis with minimal lines of production-quality code
- Understand how functional programming is a natural fit for scientific and big data computations
- Access and visualize data with F#
- Apply F# for machine learning

Explore solutions for problems in domains such as business intelligence and social gaming

Audience

- Developers
- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
28 godzin
Opis
R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn how to use R to develop practical applications for solving a number of specific finance related problems.

By the end of this training, participants will be able to:

- Understand the fundamentals of the R programming language
- Select and utilize R packages and techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
- Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
- Troubleshoot, integrate deploy and optimize an R application

Audience

- Developers
- Analysts
- Quants

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.
21 godzin
Opis
Apache Drill is a schema-free, distributed, in-memory columnar SQL query engine for Hadoop, NoSQL and other Cloud and file storage systems. The power of Apache Drill lies in its ability to join data from multiple data stores using a single query. Apache Drill supports numerous NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. Apache Drill is the open source version of Google's Dremel system which is available as an infrastructure service called Google BigQuery.

In this instructor-led, live training, participants will learn the fundamentals of Apache Drill, then leverage the power and convenience of SQL to interactively query big data across multiple data sources, without writing code. Participants will also learn how to optimize their Drill queries for distributed SQL execution.

By the end of this training, participants will be able to:

- Perform "self-service" exploration on structured and semi-structured data on Hadoop
- Query known as well as unknown data using SQL queries
- Understand how Apache Drills receives and executes queries
- Write SQL queries to analyze different types of data, including structured data in Hive, semi-structured data in HBase or MapR-DB tables, and data saved in files such as Parquet and JSON.
- Use Apache Drill to perform on-the-fly schema discovery, bypassing the need for complex ETL and schema operations
- Integrate Apache Drill with BI (Business Intelligence) tools such as Tableau, Qlikview, MicroStrategy and Excel

Audience

- Data analysts
- Data scientists
- SQL programmers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
14 godzin
Opis
AI is a collection of technologies for building intelligent systems capable of understanding data and the activities surrounding the data to make "intelligent decisions". For Telecom providers, building applications and services that make use of AI could open the door for improved operations and servicing in areas such as maintenance and network optimization.

In this course we examine the various technologies that make up AI and the skill sets required to put them to use. Throughout the course, we examine AI's specific applications within the Telecom industry.

Audience

- Network engineers
- Network operations personnel
- Telecom technical managers

Format of the course

- Part lecture, part discussion, hands-on exercises
21 godzin
Opis
Dremio is an open-source "self-service data platform" that accelerates the querying of different types of data sources. Dremio integrates with relational databases, Apache Hadoop, MongoDB, Amazon S3, ElasticSearch, and other data sources. It supports SQL and provides a web UI for building queries.

In this instructor-led, live training, participants will learn how to install, configure and use Dremio as a unifying layer for data analysis tools and the underlying data repositories.

By the end of this training, participants will be able to:

- Install and configure Dremio
- Execute queries against multiple data sources, regardless of location, size, or structure
- Integrate Dremio with BI and data sources such as Tableau and Elasticsearch

Audience

- Data scientists
- Business analysts
- Data engineers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Notes

- To request a customized training for this course, please contact us to arrange.
14 godzin
Opis
In this instructor-led, live training in w Polsce (onsite or remote), participants will learn how to combine the capabilities of Python and Excel.

By the end of this training, participants will be able to:

- Install and configure packages for integrating Python and Excel.
- Read, write, and manipulate Excel files using Python.
- Call Python functions from Excel.
14 godzin
Opis
A business' marketing strategy is one of its most essential tools to ensure success. The rise in technology and advances in data gathering and analysis has led to a continuous transformation of marketing. Data analysis is now considered to be a crucial skill for marketers to learn. Likewise, applying data science to marketing principles is also important in helping data science professionals maximize their contributions.

In this instructor-led, live training, participants will learn how to gain valuable insights from large data sets and how to use these for marketing strategies.

By the end of this training, participants will be able to:

- Install and configure tools for data-driven marketing tools (Tableau, Google Analytics, Zarget, etc)
- Measure, test, and optimize the performance of their marketing strategies using data
- Use data to segment their customers and prospects
- Use predictive modeling to improve response rates
- Implement step-by-step data analytics to drive better marketing decisions

Audience

- Marketers
- Data scientists

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.
35 godzin
Opis
Participants who complete this training will gain a practical, real-world understanding of Data Science and its related technologies, methodologies and tools.

Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class.

The course starts with an introduction to elemental concepts of Data Science, then progresses into the tools and methodologies used in Data Science.

Audience

- Developers
- Technical analysts
- IT consultants

Format of the Course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.
14 godzin
Opis
Apache Arrow is an open-source in-memory data processing framework. It is often used together with other data science tools for accessing disparate data stores for analysis. It integrates well with other technologies such as GPU databases, machine learning libraries and tools, execution engines, and data visualization frameworks.

In this onsite instructor-led, live training, participants will learn how to integrate Apache Arrow with various Data Science frameworks to access data from disparate data sources.

By the end of this training, participants will be able to:

- Install and configure Apache Arrow in a distributed clustered environment
- Use Apache Arrow to access data from disparate data sources
- Use Apache Arrow to bypass the need for constructing and maintaining complex ETL pipelines
- Analyze data across disparate data sources without having to consolidate it into a centralized repository

Audience

- Data scientists
- Data engineers

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
Opis
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
7 godzin
Opis
This instructor-led, live training in w Polsce (online or onsite) is aimed at persons who wish to use graphical and numerical techniques to better understand the structure of a dataset before commencing more formal analysis.

By the end of this training, participants will be able to:

- Identify variables that that indicate connections within the data.
- Identify unusual patterns in data.
- Generate visually appealing and easy to read graphics that provide insight into the data.
- Use exploratory analysis to pave the way for more complex statistical modeling.
14 godzin
Opis
Szkolenie jest wprowadzeniem do nauki programowania w języku Python. Nacisk został położony na strukturę języka, główne biblioteki jak również na najciekwsze i najbardziej przydatne, opracowane przez Python community. Python zarówno napędza biznes oraz używany przez naukowców na całym świecie. Dzięki bogatemu zapleczu gotowych bibliotek Python jest jednym z najpopularniejszych języków do analizy danych. Python jest też bardzo prosty w nauce, dzięki czemu pisanie własnych, dedykowanych narzędzi nie stanowi problemu nawet dla początkujących programistów.
14 godzin
Opis
This instructor-led, live training (online or onsite) is aimed at HR professionals 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.

Nadchodzące szkolenia z technologii Data Analysis

Szkolenie Data Analysis, Data Analysis boot camp, Szkolenia Zdalne Data Analysis, szkolenie wieczorowe Data Analysis, szkolenie weekendowe Data Analysis, Kurs Data Analysis,Kursy Data Analysis, Trener Data Analysis, instruktor Data Analysis, kurs zdalny Data Analysis, edukacja zdalna Data Analysis, nauczanie wirtualne Data Analysis, lekcje UML, nauka przez internet Data Analysis, e-learning Data Analysis, kurs online Data Analysis, wykładowca Data Analysis

Kursy w promocyjnej cenie

Newsletter z promocjami

Zapisz się na nasz newsletter i otrzymuj informacje o aktualnych zniżkach na kursy otwarte.
Szanujemy Twoją prywatność, dlatego Twój e-mail będzie wykorzystywany jedynie w celu wysyłki naszego newslettera, nie będzie udostępniony ani sprzedany osobom trzecim.
W dowolnej chwili możesz zmienić swoje preferencje co do otrzymywanego newslettera bądź całkowicie się z niego wypisać.

Zaufali nam

This site in other countries/regions