Elevate Your Data Skills: Become Data Literate with AI Support

Enroll in this Free Udemy Course to master Data Literacy and AI tools. Enhance your data-driven decision-making today!

In today’s data-driven world, having data literacy is essential for making informed decisions across all industries. This course, ‘Data Literacy: Domina el uso de datos con ayuda de la IA’, is expertly designed to equip you with the critical skills needed to understand, analyze, and effectively communicate data. You’ll learn the importance of distinguishing between data, information, and insights, which is crucial for strategic data-driven decision-making.

Throughout the course, we will delve into the various types of data, their characteristics such as origin and sensitivity, and how to practically assess data quality. Understanding the roles of key players in the data decision-making process, including Product Owners, Data Analysts, and Data Engineers, will enhance your collaborative capabilities within teams. You’ll discover how AI enhances each role, driving better outcomes and ensuring governance.

Whether you’re a business professional, an aspiring analyst, or a seasoned data scientist, this course will enable you to think analytically, communicate effectively with data, and utilize AI as a reliable ally at every stage of the data value chain. Join us now and transform how you approach data in your professional realm!

What you will learn:

  • Understand what Data Literacy is and why it is key in decision-making.
  • Differentiate between data, information, and insight to improve critical thinking.
  • Identify different types of data and their key characteristics (origin, function, sensitivity, etc.).
  • Evaluate data quality using practical dimensions and validation rules.
  • Understand the roles and responsibilities of Business User, Data Analyst, Data Scientist, and Data Engineer.
  • Recognize how AI enhances each role in the data value cycle.

Course Content:

  • Sections: 6
  • Lectures: 42
  • Duration: 5h 57m

Requirements:

  • No prior experience in data analysis or programming is required.
  • Willingness to learn, reflect on, and work better with data in a professional setting.
  • Access to the internet and a tool for taking notes or completing exercises.
  • Ideal for business teams, aspiring analysts, and non-technical profiles.

Who is it for?

  • Business professionals wanting to understand data better in their work.
  • Analysts, data scientists, and engineers looking to improve collaboration and communication across roles.
  • Product, marketing, or finance teams that make data-driven decisions.
  • Individuals interested in learning how to responsibly and practically apply AI in data projects.
  • Companies seeking to strengthen their data culture and analytical literacy at all levels.

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