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Becoming a Data Specialist

Expires in: 24 days

Overview
Curriculum

This 5-day intensive training program is designed to provide participants with an in-depth understanding of the critical components shaping the field of data. From emerging trends and the Internet of Things (IoT) to Big Data and Generative AI, learners will explore the tools, technologies, and methodologies that are redefining how data drives innovation. The course also includes personal and professional development strategies, empowering participants to assess and enhance their skills for long-term career success.

Curriculum

  • 5 Sections
  • 20 Lessons
  • 0 Quizzes
  • 0 Google Meets
  • 0m Duration
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Trends and Developments in Data Technology
4 Lessons0 Quizzes0 Google Meets
  1. Exploration of recent advancements in data technology and global trends
  2. Discussion on the integration of artificial intelligence and robotics in daily life
  3. Analysis of how advancements in data and technology are reshaping the digital landscape
  4. Interactive Session: Learners will brainstorm how emerging technologies could impact their industries or roles
The Internet of Things (IoT)
4 Lessons0 Quizzes0 Google Meets
  1. Introduction to IoT with a focus on its applications in automation
  2. Understanding the societal impact of IoT and its potential criticalities in a connected world
  3. Group Discussion: The benefits and risks of living in a fully connected society
  4. Practical Activity: Mapping IoT’s influence in various sectors, including healthcare, manufacturing, and smart homes
Big Data – Challenges and Opportunities
4 Lessons0 Quizzes0 Google Meets
  1. Overview of Big Data: Characteristics and its exponential growth due to the internet, social networks, and IoT
  2. Discussion on managing and analyzing large datasets beyond traditional tools
  3. Video Resources and Research: Reflecting on the critical aspects and opportunities Big Data presents
  4. Case Study Analysis: Real-world applications of Big Data in industries such as finance, retail, and healthcare
Generative AI – Transforming the Data Landscape
4 Lessons0 Quizzes0 Google Meets
  1. Exploration of the relevance and impact of generative AI models, with a focus on ChatGPT and similar technologies
  2. Applications of generative AI in data science, research, and creative industries
  3. Hands-On Activity: Learners will experiment with generative AI tools to analyze datasets or simulate scenarios
  4. Group Discussion: Debating the ethical implications and future developments in generative AI
Personal and Professional Development
4 Lessons0 Quizzes0 Google Meets
  1. Introduction to personal development as a lifelong process
  2. Tools and Techniques
  3. Reflection on learning styles and meta-skills for continuous self-improvement
  4. Practical Exercise: Developing a Personal Development Plan tailored to their career goals

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