Deploying Data Technologies Certificate - TalentStore
Deploying Data Technologies Certificate - TalentStore

Deploying Data Technologies Certificate

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The Deploying Data Technologies Certificate offered by the Global Institute for Information Technology Management (GIIM) equips participants with technical knowledge and skills for implementing and integrating information technologies in big data and business analytics strategies. The program covers a wide range of digital data technologies, including robotics process automation, AI, blockchain, and IoT, with an emphasis on security. Participants gain expertise in data analytics, business intelligence, cognitive computing, and knowledge management.
 
The certificate program recognizes the significance of data-driven decision-making and the growing demand for skilled data scientists. It addresses the challenges of big data, including volume, variety, velocity, and veracity. Participants learn how to harness the power of data for smart decision-making, leveraging emerging technologies. The program provides a comprehensive blend of technical, managerial, and industry skills necessary to maximize the value of data assets in the digital era.
 
With a focus on industry and practical considerations, the Digital Data Technologies Certificate from GIIM prepares participants to deploy analytics and manage data as a valuable asset. It caters to both novice and experienced professionals in the field, as well as non-IT executives interested in leveraging this technology. The program emphasizes collaboration between IT and business partners, helping participants ask the right questions and derive value from their organization's data and information assets.
Learning Objectives

1. Develop a comprehensive understanding of the technical considerations involved in implementing and integrating data technologies, such as big data, business analytics, robotics process automation, AI, Blockchain, IoT, and SMAC, for effective decision-making across the enterprise.
2. Acquire proficiency in data analytics, textual analytics, AI, big data, blockchain, business intelligence, cognitive computing, IoT, knowledge management, and robotics process automation to support data-driven innovation and revenue-generating initiatives.
3. Gain insight into the challenges and opportunities associated with managing and leveraging large volumes of structured and unstructured data, including addressing the 4-V's of big data: volume, variety, velocity, and veracity.
4. Understand the shift from retrospective reporting to forward-looking predictive capabilities enabled by big data and business analytics, and learn how to handle messy and unstructured data while leveraging external data sources effectively.
5. Develop a holistic skill set that combines technical expertise, statistical analysis, business acumen, industry knowledge, and teamwork to successfully deploy data technologies and derive valuable insights for informed decision-making, bridging the gap between IT and non-IT professionals.

Content Delivery Method

Physical, Virtual, or Hybrid Classroom

HRD Corp Certified Course

No

Duration and Language

Available in English

Target Audience

Suitable for employees of all levels

Key Skillset Addressed

Data Technology Implementation, Proficient Data Analytics, Managing Big Data, Predictive Capabilities, Holistic Skill Set