그랑 서울, Tower 1, 7층, 서울특별시, 종로구, 종로 33, 서울시, korea, 01359
스페이시즈 그랑 서울 업무공간
센터원센터
서울시, 중구, 을지로 5길 26, 센터원빌딩 서관 27층, 서울시, korea, 04539
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Excel 재고 관리 및 예산 편성용
14 시간Microsoft Office의 기본
7 시간마이크로소프트 엑셀 (기초, 중급 및 고급)
28 시간Excel과 Google Sheets
14 시간마이크로소프트 오피스 어드밴스드
7 시간Excel 모델링
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14 시간통계 엑셀 Data Analysis
14 시간Excel to Power BI
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42 시간VBA For Access & Excel
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21 시간Excel VBA 하루완성
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21 시간MS Word 기본
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회원 평가 (21)
준비된 교육, 흥미로운 주제
Maciek Boiski - Instytut Energetyki - Panstwowy Instytut Badawczy
코스 - Microsoft Office Excel - poziom podstawowy
기계 번역됨
**Course Outline****Course Title:** Mastering Mobile App Development**Duration:** 12 weeks**Scope of Material**This course covers the essentials of mobile app development, focusing on both iOS and Android platforms. Students will learn to design, develop, and deploy mobile applications using industry-standard tools and frameworks. The curriculum includes an introduction to mobile app architecture, user interface design, and backend integration. Students will gain hands-on experience with Xcode, Swift, Android Studio, Java, and Kotlin. Additionally, the course will cover best practices for app performance, security, and user experience.**Course Objectives**- Understand the fundamentals of mobile app development for iOS and Android.- Design and implement user interfaces for mobile applications.- Develop and integrate backend services for mobile apps.- Utilize version control systems like Git for collaborative development.- Apply best practices for app performance, security, and user experience.- Deploy mobile applications to the App Store and Google Play.**Course Outline****Week 1-2: Introduction to Mobile App Development**- Overview of mobile app development ecosystem- Setting up the development environment- Introduction to Xcode and Swift for iOS development- Introduction to Android Studio and Java/Kotlin for Android development**Week 3-4: Mobile App Architecture**- Understanding mobile app architecture patterns- Model-View-Controller (MVC) and Model-View-ViewModel (MVVM) architectures- Designing scalable and maintainable mobile applications**Week 5-6: User Interface Design**- Principles of mobile UI/UX design- Creating intuitive and user-friendly interfaces- Using Storyboard and Auto Layout in Xcode- Using XML layouts and ConstraintLayout in Android Studio**Week 7-8: Backend Integration**- Introduction to RESTful APIs and web services- Integrating backend services with mobile applications- Working with JSON and XML data formats- Implementing authentication and authorization**Week 9-10: Advanced Topics**- Working with databases: SQLite, Room, and Core Data- Implementing push notifications- Utilizing third-party libraries and SDKs- Implementing in-app purchases and advertisements**Week 11: Performance and Security**- Optimizing app performance- Ensuring app security and data protection- Conducting thorough testing and debugging**Week 12: Deployment and Best Practices**- Preparing apps for deployment to the App Store and Google Play- Following best practices for app store optimization (ASO)- Monitoring app performance and user feedback- Iterating and updating mobile applications
Marcin - Instytut Energetyki- Panstwowy Instytut Badawczy
코스 - Word dla zaawansowanych
기계 번역됨
**Course Title: Introduction to Big Data and Hadoop****Course Duration:** 40 hours**Course Description:**This course provides an in-depth overview of big data concepts and the Hadoop ecosystem. Participants will gain hands-on experience with Hadoop tools and frameworks, enabling them to process and analyze large datasets efficiently.**Course Outline:****Module 1: Introduction to Big Data**- Understanding Big Data - Definition and characteristics - Importance of Big Data in today's world - Examples of Big Data use cases- Big Data Challenges - Volume, Velocity, Variety, Veracity - Traditional vs. Big Data processing- Big Data Technologies - Overview of Hadoop, Spark, and other tools - Big Data ecosystem components**Module 2: Introduction to Hadoop**- What is Hadoop? - History and evolution - Core components: HDFS, MapReduce, YARN- Hadoop Architecture - Cluster setup and configuration - Data storage and processing workflows- Setting Up Hadoop - Installation on Linux and Windows - Configuration files and settings**Module 3: Hadoop Distributed File System (HDFS)**- Introduction to HDFS - Architecture and components - Data replication and fault tolerance- HDFS Operations - File operations: read, write, delete - Directory operations: create, delete, list- HDFS Best Practices - Data organization and management - Performance tuning and optimization**Module 4: MapReduce Programming**- Introduction to MapReduce - Concepts and workflow - MapReduce programming model- Writing MapReduce Programs - Setting up the development environment - Writing and running MapReduce jobs- MapReduce Examples - Word count example - Custom MapReduce programs**Module 5: Advanced Hadoop Ecosystem**- Apache Hive - Introduction and architecture - Querying data with HiveQL- Apache Pig - Introduction and architecture - Data processing with Pig Latin- Apache HBase - Introduction and architecture - NoSQL database concepts- Apache Zookeeper - Introduction and architecture - Coordination and management services- Apache Sqoop - Introduction and architecture - Data import/export between Hadoop and relational databases- Apache Flume - Introduction and architecture - Data ingestion and streaming**Module 6: Hadoop Administration**- Hadoop Cluster Management - Cluster setup and configuration - Monitoring and maintenance- Security in Hadoop - Authentication and authorization - Data encryption and security best practices- Performance Tuning - Optimizing Hadoop performance - Troubleshooting common issues**Module 7: Real-world Use Cases and Projects**- Case Studies - Real-world applications of Big Data and Hadoop - Success stories and best practices- Hands-on Projects - Designing and implementing Big Data solutions - Working on real-world datasets**Assessment and Certification:**- Participants will be assessed through quizzes, assignments, and a final project.- Upon successful completion, participants will receive a certificate of achievement.
Marcin - Instytut Energetyki- Panstwowy Instytut Badawczy
코스 - MS Word - poziom podstawowy
기계 번역됨
learned new things
Daria Pawlak - LKQ Polska Sp. z o. o.
코스 - Excel Modelling
저는 최근 몇 가지 피벗 테이블 문제로 어려움을 겪고 있었는데 이 과정을 통해 피벗 테이블을 더 빠르고, 스마트하고, 효율적으로 작업할 수 있는 지식을 얻었습니다.
Arina Moayed-Dzenisa - Universal-Investment-Gesellschaft mbH Branch Poland Sp. z o. o.
코스 - Microsoft Office Excel - poziom średnio zaawansowany
기계 번역됨
예를 들어 해결책을 찾고 있습니다.
Monika Lesniewska - Takenaka Europe GmbH Sp. z o.o. Oddzial w Polsce
코스 - Excel Data Analysis
기계 번역됨
Adam was very knowledgeable and had a great layout.
Corey Reis - Lockheed Martin
코스 - Advanced Slide Design in PowerPoint
Dashboards and walking through the exercises together along with extra detail on navigation tips and tricks not covered in the exercise.
Jandy Itona - Milwaukee Brewers Baseball Club, LP
코스 - Adaptive OfficeConnect
The tips for many of the functions that the trainer presented, which we can easily remember and implement in our future work
Emilija Stoilova - EPFL HBP PCO
코스 - Analysing Financial Data in Excel
이미지 형식 및 템플릿에 관한 몇 가지 작은 요령 - 매우 유용합니다 :)
Natalia Wawrzyniak - Akademia Morska w Szczecinie
코스 - Advanced MS PowerPoint
기계 번역됨
The second day as Power Bi is a really friendly tool, and clearly Costas knows it very well, it was really good to learn about that tool. Unfortunately we have to see Power pivot in excel first which is really not user friendly but definitely a must see first in order to understand how Power Bi works, and it makes Power Bi look super cool :)
Anne-Cecile Jacquot - Ameropa
코스 - Excel to Power BI
자세한 정보가 많아요
Peter Terpstra - Jongia Mixing Technology
코스 - SharePoint Owner and Administrator
기계 번역됨
The fact he had dif excel and data sheets with exercises for us to do.
Deepakie Singh Sodhi - Queens College, CUNY
코스 - Excel For Statistical Data Analysis
The guy was really helpful and knowledgeable and i really learned a lot in two days.
Francesca Maggiolo - Bettzeit GmbH
코스 - Excel Basics
There was a good amount of information for the time of training. Also the trainer was very engaged with the group, especially when people were having troubles or asking questions. It was very nice of him to offer help in case of future ideas.
Aleksander Jarecki - Amazon Development Center Poland Sp. z o.o.
코스 - Visual Basic for Applications (VBA) in Excel (intermediate level)
The training was really useful. I liked the most the parts related to the pivot tables, filtering, lockup options and data consolidation. I appreciated trainer's excellent knowledge on the subject. His attitude was very good as well. He built open and 'not so formal' atmosphere which helped participants to ask the questions or speak about their daily excel issues. He was fully understandable during the whole training and his way of explaining the topics was direct and adequate.
Katarzyna Chalinska - UBS Business Solutions Poland Sp. z o.o.
코스 - Excel Advanced
I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Tamil was held up helping other people, I could crack on with the next parts.
Luke Pontin
코스 - Data and Analytics - from the ground up
I generally enjoyed the practical examples.
Marika Agius
코스 - Visual Basic for Applications (VBA) for Analysts
Content and the way it was provided.
Marcin Samborski
코스 - Visual Basic for Applications (VBA) in Excel - Advanced
Training agenda was well thought out.
Przemek Zalasinski
코스 - Visual Basic for Applications (VBA) in Excel - Introduction to programming
I liked the examples and the way he explained.