Analiza podataka Training in Srbija

Ova obuka koju vodi instruktor, održavana uživo na Srbija (online ili na lokaciji klijenta), namenjena je naučnicima i inženjerima podataka srednjeg nivoa znanja koji žele da iskoriste Google Colab i Apache Spark za obradu i analitiku big podataka.

Na kraju ove obuke, učesnici će moći da:

• Podese okruženje za big podatke koristeći Google Colab i Spark.
• Efikasno obrade i analiziraju velike skupove podataka pomoću Apache Spark-a.
• Vizualizuju big podatke u klijentelnom okruženju.
• Integriraju Apache Spark sa alatima baziranim na oblaku.

This instructor-led live training in Srbija (online or onsite) is designed for intermediate-level data professionals who aim to apply time series forecasting techniques to real-world data using Google Colab.

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

• Understand the fundamentals of time series analysis.
• Use Google Colab to work with time series data.
• Apply ARIMA models to forecast data trends.
• Utilize Facebook’s Prophet library for flexible forecasting.
• Visualize time series data and forecasting results.

By completing this instructor-led, live training in Srbija, participants will develop a practical, real-world grasp of Big Data, along with its associated technologies, methodologies, and tools.

Participants will have the chance to apply this knowledge through hands-on exercises. Group interaction and instructor feedback are integral components of the course.

The course begins with an introduction to fundamental Big Data concepts, then moves on to the programming languages and methodologies used for Data Analysis. Finally, we explore the tools and infrastructure that support Big Data storage, Distributed Processing, and Scalability.

This instructor-led, live training in Srbija (online or onsite) is designed for beginner-level data engineers, analysts, and scientists who wish to understand how to use dbt Cloud to manage their data warehousing and transformation projects in the cloud.

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

• Create and manage projects on dbt Cloud.
• Use the dbt Cloud interface to schedule and run data transformations.
• Collaborate on projects with team members.
• Deploy their dbt projects to production.
• Debug and troubleshoot dbt projects.

This instructor-led, live training in Srbija (online or on-site) is designed for GIS professionals and analysts from beginner to advanced levels who wish to effectively utilize ArcGIS for data visualization, spatial analysis, and geospatial project management.

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

• Navigate and utilize ArcGIS tools for geospatial data management.
• Create and customize maps with layers and attributes.
• Perform advanced spatial analysis and geoprocessing tasks.
• Automate workflows using ModelBuilder and Python.

This instructor-led live training in Srbija (online or onsite) is designed for advanced GIS professionals who aim to use ArcGIS Pro to boost their spatial analysis capabilities, conduct thorough geostatistical analysis, and apply advanced 3D modeling techniques for better decision-making and problem-solving in real-world contexts.

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

• Develop advanced skills in spatial analysis techniques using ArcGIS Pro.
• Utilize Python scripting for automation and complex data processing.
• Apply spatial modeling for problem-solving in real-world scenarios.
• Conduct geostatistical analysis for advanced data interpretation.
• Integrate external data sources and leverage 3D spatial data analysis.

This instructor-led, live training in Srbija (online or onsite) is designed for beginner to intermediate data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

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

• Understand the fundamentals of Google Gemini AI.
• Connect various data sources to Gemini AI.
• Explore data using natural language queries.
• Analyze data patterns and derive insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

This instructor-led live training in Srbija (available online or onsite) is designed for data analysts and professionals interested in learning 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:

• Conduct data analysis using Python, R, and SQL.
• Generate insights through data visualization with Tableau.
• Inform business operations with data-driven decision-making.

This instructor-led, live training in Srbija (online or onsite) is aimed at beginner-level IT support personnel who wish to provide robust support for ArcGIS Enterprise, addressing any anomalies or failures effectively.

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

• Understand the architecture and components of ArcGIS Enterprise.
• Learn to install, configure, and manage ArcGIS Enterprise.
• Gain skills in troubleshooting and resolving common issues.
• Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments.
• Master the techniques for backup, recovery, and performance optimization.

This live, instructor-led training, available online or onsite, is specifically crafted to support participants in preparing for the Microsoft Certified: Data Scientist Associate certification exam (DP-100).

The program outlines the core principles of data science and machine learning, emphasizing their practical application via Microsoft Azure Machine Learning. Learners will develop competencies in preparing data, constructing and training models, and deploying them to cloud environments. The course also delves into methods for assessing model efficacy and executing feature engineering tasks.

This instructor-led, live training in Srbija (online or onsite) is aimed at intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization.

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

• Understand the core concepts, architecture, and components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses using Azure Synapse.
• Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
• Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.

This instructor-led live training in Srbija (online or onsite) is designed for beginner-level professionals who want to learn the essential concepts and tools of ArcGIS.

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

• Understand the basic concepts of GIS and spatial data.
• Navigate the ArcGIS interface.
• Create and manage spatial data.
• Perform basic spatial analysis.
• Create maps and visualizations.

Ova obuka koju vodi predavač, uživo u Srbija (online ili na lokaciji), namenjena je početnicima iz oblasti nauke o Zemlji i inženjerstva koji žele da koriste Python za geoprostornu analizu u oba okruženja, ArcGIS i QGIS.

Na kraju ove obuke, učesnici će moći da:

• Navezu sintaksu Pythona i strukture kontrole za efikasno izvršavanje geoprostornih zadataka.
• Koriste Pandas, Numpy i Matplotlib za analizu i vizualizaciju podataka u GIS-u.
• Manipulišu i analiziraju vektorske podatke pomoću biblioteka Geopandas, Arcpy i PyQGIS.
• Automatizuju geoprostorne procese i tokove rada korišćenjem Python skripti u ArcGIS-u i QGIS-u.
• Razvijaju prilagođena geoprostorna alatemnija bazirana na Pythonu za ArcGIS i QGIS kako bi pojednostavili zadatke.

The aim of the course is to help participants provide evidence-based answers to the following questions:

What has occurred?

• processing and analyzing data
• creating insightful data visualizations

What will occur?

• forecasting future performance
• assessing forecast accuracy

What should occur?

• converting data into evidence-driven business decisions
• optimizing business processes

This instructor-led, live training in Srbija (online or on-site) is designed for intermediate-level geographers who wish to deepen their expertise in spatial analysis, data management, and GIS applications.

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

• Apply advanced spatial analysis techniques to solve complex geographical problems.
• Manage large spatial databases and perform data quality control.
• Create dynamic and interactive maps and visualizations for various applications.
• Utilize programming and automation to streamline GIS workflows.

A practical training in Srbija that empowers insurance professionals to leverage AI, data, and InsurTech trends to modernize operations and enhance customer engagement. Through workshops, case studies, and practical exercises, participants will develop digital strategies for a rapidly evolving industry.

This live, instructor-led training in Srbija delves into practical Requirements Engineering concepts, elicitation methods, and documentation strategies. It includes comprehensive exam preparation to help participants master the IREB CPRE syllabus and secure their Foundation Level certification.

This instructor-led, live training in Srbija (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

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

• Set up a development environment that includes Python, Pandas, and NumPy.
• Create a data analysis application using Pandas and NumPy.
• Perform advanced data wrangling, sorting, and filtering operations.
• Conduct aggregate operations and analyze time series data.
• Visualize data using Matplotlib and other visualization libraries.
• Debug and optimize their data analysis code.

This instructor-led live training in Srbija (online or onsite) is aimed at developers and administrators who wish to use OpenSearch to perform distributed search and data analytics in a unified and secure system.

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

• Set up the necessary development environment to start building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
• Understand the three approaches (snapshot, restart, and rolling) in upgrading from Elasticsearch OSS to OpenSearch.
• Learn how to index data, create data streams, run queries, and streamline cross-cluster operations in OpenSearch.
• Explore and use plugins, APIs, clients, and ingestion tools (Beats, Logstash, Grafana, etc.) to optimize search experience while keeping clusters secure.
• Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.

This instructor-led, live training in Srbija (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..

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

• Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
• Analyze data from sources such as Excel, CSV, JSON files and databases.
• Clean data to improve its usefulness before analyzing it.
• Perform simple statistical analysis.
• Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
• Gain valuable insight from data, including trends in performance, problematic areas.

Ova obuka sa instruktorom uživo u <lok> (online ili na licu mesta) namenjena je profesionalcima iz poslovanja i IT sektora srednjeg nivoa koji žele da nauče kako da formulišu efikasne kriterijume prihvatanja zahteva.

Krajem ove obuke, učesnici će moći da:

• Razumeju važnost kriterijuma prihvatanja.
• Kreiraju i verifikuju kriterijume prihvatanja zahteva.
• Primene različite metode opisivanja kriterijuma prihvatanja.
• Osiguraju kvalitet analitičkih artefakata.

This instructor-led live training in Srbija (available online or onsite) is designed for business analysts seeking to master advanced Spotfire Analyst techniques for data analysis.

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

• Distribute visualizations across various team members.
• Restrict software access according to defined roles and control policies.
• Develop visual elements like map charts.
• Integrate statistical computing languages, such as R, into Spotfire.

This instructor-led, live training in Srbija (online or onsite) is designed for field ecologists and conservation managers who want to develop spatial data projects in ArcGIS.

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

• Output spatial data as visualizations.
• Conduct geostatistical analysis on real-world data.
• Implement spatial data analysis, data processing, and mapping with ArcGIS.
• Analyze spatial data for projects in ArcGIS.

This course focuses on applying data analytic techniques and methodologies to solve business challenges using R, Python, and SQL. It highlights the connection between business needs and data analytics, viewing the latter as a powerful toolkit for addressing business queries and issues.

This instructor-led, live training in Srbija (online or onsite) is designed for data scientists, data analysts, and business analysts who aim to clean and process data efficiently.

Upon completion of this training, participants will be able to:

• Formulate an effective data cleaning strategy.
• Utilize appropriate tools for data cleaning.
• Achieve results with greater efficiency.
• Learn and apply best practices for data cleaning.

This live, instructor-led training on Srbija (delivered online or onsite) is tailored for intermediate-level managers and specialists seeking to grasp the drivers of digital change in financial services and learn how to successfully implement these changes within their own organizations.

By the end of the session, participants will be able to:

• Explain the forces propelling digital change in banking and financial services.
• Identify areas where digital channels, lending, and SME banking create value.
• Understand how Agile approaches and product thinking underpin transformation efforts.
• Learn from both successful and failed transformation case studies.

U dinamici energetskog sektora, integracija analize električnih tranzijenata sa preciznim geografskim podacima postala je strateška neophodnost. Trenutna zavisnost od fragmentiranih podataka vodi ka značajnim operativnim rizicima. Ovaj 14-dnevni intenzivni program u Melburnu namenjen je uspostavljanju mosta između električnog inženjerstva i upravljanja geodestinacijama.

The "KNIME Analytics Platform" training offers a comprehensive overview of this free data analysis platform. The program includes an introduction to data processing and analysis, installation and configuration of KNIME, building workflows, methodologies for creating business models and data modeling. The course also covers advanced data analysis tools, workflow import and export, tool integration, ETL processes, data mining, visualization, extensions, and integrations with tools such as R, Java, Python, Gephi, and Neo4j. The conclusion covers reporting, integration with BIRT, and KNIME WebPortal.

This instructor-led live training held in Srbija (available online or onsite) is aimed at data scientists who want to utilize Python and R to extend KNIME's functionality.

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

• Plan, build, and deploy machine learning models in KNIME.
• Make data driven decisions for operations.
• Implement end to end data science projects.

As your participants prepare for advanced Data Analytics degrees abroad, they face a dual challenge: mastering technical coding and understanding how to translate data into business value. This intensive 5.5-hour program is designed to bridge both gaps simultaneously. By combining Python technical foundations with an introductory business analytics framework, we ensure your team starts their academic journey as leaders, not just learners.

Snowflake is a cloud-native data warehousing platform that provides extensive capabilities for processing and analyzing large-scale datasets. As a Software-as-a-Service (SaaS) solution, it combines the flexibility and scalability of the cloud with the power of an advanced data warehouse. Key features and functionalities of Snowflake include:

Cloud-Native Architecture: Built entirely in the cloud, Snowflake is optimized for flexibility and high performance, enabling effortless scaling of data storage and processing resources.

Decoupled Storage and Compute: Snowflake’s unique architecture separates data storage from compute workloads, allowing these two components to be scaled and optimized independently.

Support for Diverse Data Types: Snowflake facilitates the storage and analysis of various data formats, including structured, semi-structured (e.g., JSON, XML), and unstructured data.

High Performance and Query Optimization: The platform delivers rapid query processing with automatic optimization, enabling efficient execution of complex analyses on vast datasets.

Security and Access Control: Snowflake offers robust security features, including data encryption, role-based access management, and comprehensive auditing capabilities.

Seamless Integration: The platform integrates effortlessly with popular ETL, BI, and data analysis tools and services, supporting the creation of holistic analytical solutions.

Cost Efficiency and Scalability: A usage-based pricing model allows for cost optimization by ensuring users pay only for the resources they actually consume.

Versatile Application Scope: Snowflake is suitable for a wide range of use cases, from standard BI analyses to advanced data processing scenarios, including big data analytics and machine learning.

Snowflake is widely adopted by organizations of all sizes due to its flexibility, performance, ease of use, and adaptability to diverse business and technological requirements.

This instructor-led, live training in Srbija (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data.

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

• Install and configure TIBCO Spotfire X.
• Understand the features and architecture of TIBCO Spotfire X.
• Understand the concepts behind augmented and predictive analytics.
• Learn how to load, process, and visualize data using Spotfire X.
• Create interactive and enhanced data visualizations.

This instructor-led, live training in Srbija (online or onsite) is aimed at business professionals who wish to use data storytelling, PowerPoint, and AI tools to create executive presentations that support decision-making and follow corporate branding standards.

By the end of this training, participants will be able to: structure messages with AI, improve slide design, strengthen visual stories, and deliver clearer executive presentations.

This course on Training Needs Analysis provides participants with a comprehensive overview of best practices, including the tools, tips, and techniques necessary to deliver a world-class training function. Attendees will gain a complete set of tools and case studies that can be easily applied back in the workplace.