Course Outline
Microsoft Planner 소개
- Microsoft 플래너 개요
- 작업 및 프로젝트 관리에서 플래너의 역할 이해
- Planner 인터페이스 탐색
- 계획 생성 및 관리
- 작업 할당 및 마감일 설정
- Planner를 다른 Microsoft 365 도구와 통합
작업 Management과 Microsoft개의 할 일
- Microsoft 할 일 소개
- 작업 목록 만들기 및 관리
- My Day 및 플래그가 지정된 이메일을 사용하여 작업 우선 순위 지정
- 목록 공유 및 작업 협업
- 여러 기기 및 다른 Microsoft 앱과 작업 동기화
Collaboration에 대한 Microsoft 루프 활용
- Microsoft 루프 소개
- Loop의 협업 작업 공간 이해
- Loop 구성 요소 생성 및 관리
- Microsoft Teams, Planner 및 기타 도구와 Loop 통합
- Loop 구성 요소를 사용한 실시간 협업
첫 번째 계획 설정
- Planner에서 샘플 프로젝트 만들기
- 역할 및 작업 할당
- Planner와 To Do를 사용하여 팀원과 협업하기
- 진행 상황 추적 및 계획 조정
Microsoft개의 목록이 있는 고급 작업 Management
- Microsoft 목록 소개
- 다양한 프로젝트에 대한 목록 생성 및 사용자 정의
- 빠른 목록 생성을 위한 템플릿 사용
- Planner, SharePoint 및 Teams와 목록 통합
- 목록을 사용하여 워크플로 자동화
Microsoft 팀 통합을 통한 팀 협력 강화
- Microsoft 팀과 Planner 및 To Do 통합
- Teams에서 직접 작업 관리
- 프로젝트별 커뮤니케이션을 위한 Teams 채널 사용
- 팀 내에서 Loop 및 Lists를 사용하여 협업하기
Microsoft 효율적인 프로젝트를 위한 365 Tools 활용 Management
- 추가 Microsoft 365 도구(Power Automate, SharePoint 등) 개요
- Planner, To Do, Loop, Lists를 다른 Microsoft 365 앱과 연결
- 작업 할당 및 알림 자동화
- 프로젝트 진행 상황 보고 및 분석
실제 프로젝트 시뮬레이션
- 모든 도구를 사용하여 완전한 프로젝트 설정 및 관리
- 원활한 프로젝트 관리를 위해 Planner, To Do, Loop 및 Lists 통합
- 작업 관리 프로세스 검토 및 최적화
요약 및 다음 단계
Requirements
- 기본 컴퓨터 활용 능력
- Microsoft 365환경에 대한 익숙함
청중
- 사무직 근로자
- 사무 관리자
회원 평가 (5)
**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
Course - 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
Course - MS Word - poziom podstawowy
기계 번역됨
Adam was very knowledgeable and had a great layout.
Corey Reis - Lockheed Martin
Course - Advanced Slide Design in PowerPoint
이미지 형식 및 템플릿에 관한 몇 가지 작은 요령 - 매우 유용합니다 :)
Natalia Wawrzyniak - Akademia Morska w Szczecinie
Course - Advanced MS PowerPoint
기계 번역됨
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.