ML for Business professionals using No-Code AI tools

¡Hola! It seems like you've provided a detailed outline for a comprehensive course on data analytics, machine learning, and AI ethics, with a focus on no-code tools like Tableau Public and Orange Data Mining. This course promises to equip learners with the skills to make informed decisions by leveraging data visualization, statistical analysis, and predictive modeling without the need for extensive coding knowledge.

Here's a brief overview of what the course seems to cover:

1. Introduction to Data Analytics:

   • Understanding different approaches to decision-making and their implications.
   • Exploring common biases in decision-making and their effects.
   • Learning about confidence intervals and how to interpret them.

2. Powering Your Decisions with Charts (Tableau Public):

   • Presenting and evaluating information through reports and charts.
   • Identifying scenarios where visualization can provide deeper insights, such as analyzing stock trends or sales patterns.
   • Introducing Tableau with a case study and learning to create different types of charts for various analytical needs.

3. Making Predictions for Future Readiness:

   • Differentiating between types of machine learning problems.
   • Understanding the importance and methods of making predictions, including simple methods like averages or rule-based systems.
   • Learning evaluation metrics and how to properly set up data for training and testing models.
   • Evaluating whether machine learning is a suitable approach based on specific criteria.

4. Introduction to a No-Code Tool (Orange):

   • Building machine learning models using Orange Data Mining.
   • Assessing the quality of predictions made with Orange.
   • Working through case studies that guide you through identifying target variables, selecting features, and choosing the right problem type and algorithms.

5. Deep Learning and Ethics in AI:

   • Creating deep learning models for text and image data using Orange.
   • Understanding the role of deep learning as a foundation for generative AI like ChatGPT and DALL-E.
   • Addressing ethical concerns related to AI and the importance of responsible AI deployment.

By the end of this course, learners will be equipped with the knowledge to analyze data effectively, make informed decisions, and understand the ethical implications of AI technologies. The focus on no-code tools ensures that even those without programming skills can harness the power of data analytics and machine learning to drive organizational change and contribute to their field meaningfully.

This course outline is a testament to the democratization of data science, making it accessible to a wide audience eager to make data-driven decisions and ethically navigate the world of AI. Enrolling in such a course can be a transformative experience that opens up new career paths and enhances problem-solving capabilities across various domains.