Expert in big data and analysis

Code of the bag: COMSDS13315024 Big Data is one of the most important strategic assets in the digital age, as government and private institutions rely on analyzing huge amounts of data to make decisions, improve performance, and achieve competitive advantage. This training bag offers an integrated program aimed at qualifying participants to understand the concepts of big data, analyze it, identify its sources and types, and learn about modern techniques, in addition to gaining the necessary knowledge of the tasks and skills of data scientists and future trends in this rapidly evolving field. Program Information Expert in Big Data and its analysis Program duration: 3 training days Daily hours: 5 hours Total training hours: 15 hours Targeted group: Data analysts, data engineers, IT specialists, those interested in big data and data analysis. Program objectives By the end of the program, the trainee will be able to: - Recognize the concept of big data and its development history. - Understand the characteristics and different types of big data. - Explore the future of big data and its modern applications. - Classify big data and identify its real sources. - Analyze big data and extract value from it. - Recognize the technologies and components of the big data ecosystem. - Understand the tasks, responsibilities, and skills of data scientists. - Identify tools and techniques for analyzing big data. - Discuss future trends in big data analysis. Program topics First training unit: Big Data, Types, and Future - Definition of big data and its history. - Applications of big data and its types. - Characteristics and challenges of big data. - The future of big data. Second training unit: The importance, classification, and analysis of big data - Classification of big data and its sources. - Real-world examples of big data. - The importance of big data in organizations. - Analyzing big data and benefiting from it. - Technologies and components in the big data ecosystem. Third training unit: Data scientist tasks and benefits of big data - Tasks and responsibilities of data scientists. - Skills and qualifications required for data scientists. - Benefits of big data in business environments. - Tools and techniques for analyzing big data. - Future trends in big data analysis. Training bag contents - Presentation (PowerPoint): 107 slides. - Trainer’s guide: 74 pages. - Trainee’s guide: 64 pages. - Profile file: 4 pages. - Training activities files: 2 files. - Mind maps: one mind map. - Educational images: 5 images. - Training videos: 2 videos. - Scientific references: 4 references. - Trainee data forms: 3 forms. - Introductory brochure: one copy. - Bag contents file: 11 pages. Please click here to view the training bag model.