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Course Outline
Getting Started with Microsoft To Do
- Overview of Microsoft To Do features
- Setting up accounts and syncing across devices
- Navigating the interface
Creating and Organizing Tasks
- Adding tasks with due dates and reminders
- Organizing tasks into lists and groups
- Using recurring tasks and notes
Smart Lists, Tags, and Customization
- Using My Day and Important for prioritization
- Adding tags for organization
- Customizing themes and list settings
Collaboration and Team Task Management
- Sharing lists with colleagues
- Assigning tasks and monitoring progress
- Simulated team exercise: managing a project with shared tasks
Deep Integration with Microsoft 365
- Syncing with Outlook tasks
- Using To Do within Microsoft Teams
- Connecting with Planner for project-level management
Productivity Strategies and Best Practices
- Time-blocking with To Do and Outlook Calendar
- Daily and weekly planning workflows
- Adopting habits for sustained productivity
Advanced Features and Custom Workflows
- Keyboard shortcuts and quick commands
- Managing large and complex task lists
- Building cross-app workflows with Power Automate
Troubleshooting and Optimization
- Resolving sync and integration issues
- Recovering deleted tasks or lists
- Optimizing To Do for team and organizational use
Summary and Next Steps
Requirements
- An understanding of basic productivity tools
- Experience with Microsoft 365 applications is helpful
- Familiarity with task or project management concepts
Audience
- Professionals managing daily tasks
- Teams looking to improve collaboration and productivity
- Organizations seeking to integrate Microsoft To Do into workflows
14 Hours
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.
