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Course Code: MGLD 1933
26 Course Visits
Leveraging Big Data in R&D Decision Making
Course Sector:
Management and Leadership
Course Dates and Locations
Choose a date and location to book your seat
No.
Date
Days
Location
Fees
Enrollment
01
5 Days
Abu Dhabi, UAE $4,250
02
5 Days
Los Angeles , USA $5,950
Introduction
Training course introducion / brief
This course focuses on harnessing the power of big data to enhance decision-making processes in R&D. It covers big data technologies, analytical methods, and strategies for integrating big data insights into R&D operations and strategic planning.
Course Objectives
At the end of the training course, participants will be able to
- Understand the potential of big data in R&D contexts
- Learn to identify and utilize relevant big data sources for R&D
- Develop skills in big data analytics and interpretation
- Enhance decision-making processes using big data insights
- Gain knowledge of big data technologies and infrastructures for R&D
Course Audience
Who is this course for, and can benefit the most
coming soon
Course Outline
The course aims and learning outcomes
Big Data Fundamentals for R&D
- Introduction to big data in R&D contexts
- Big data sources relevant to R&D (internal, external, structured, unstructured)
- Challenges and opportunities of big data in R&D
- Case study: Big data success stories in R&D
Big Data Technologies and Infrastructure
- Big data architectures for R&D environments
- Data lakes and data warehouses in R&D contexts
- Cloud computing and big data processing
- Workshop: Designing a big data ecosystem for R&D
Advanced Big Data Analytics for R&D
- Machine learning and AI for big data in R&D
- Real-time analytics and streaming data in R&D processes
- Text mining and natural language processing for research data
- Hands-on session: Big data analysis techniques
Decision Making with Big Data in R&D
- Integrating big data insights into R&D decision processes
- Risk assessment and mitigation using big data
- Predictive modeling for R&D project outcomes
- Simulation: Making R&D decisions with big data inputs
Implementing Big Data Strategies in R&D
- Developing a big data roadmap for R&D
- Change management for big data adoption
- Ethical and privacy considerations in big data R&D
- Action planning: Leveraging big data in your R&D organization
Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.
ENDORSED EDUCATION PROVIDER
Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY
Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).
At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.
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