This introductory lesson examines the increasing role of data in modern business, focusing on the democratization of data. You'll explore how big data, cloud computing, and low-code/no-code tools have transformed data accessibility and literacy across organizations.

Building on the previous lesson, this lesson introduces the fundamental concepts of data science, including data analytics, machine learning, and natural language processing (NLP). You'll gain a foundational understanding of how these tools are used to extract insights from data and inform business decisions.

This lesson dives deeper into the practical applications of data science in business, with a focus on how machine learning and NLP are leveraged to enhance decision-making, improve efficiencies, and drive innovation in various business contexts.

This lesson addresses the challenges and considerations businesses face when implementing machine learning and NLP technologies. Learners will understand the risks of data quality, the complexity of unsupervised learning, and ethical concerns associated with NLP.

In this lesson, you'll explore the basics of artificial intelligence (AI), including key concepts such as machine learning, neural networks, and deep learning. This lesson provides a high-level overview of AI technologies that are transforming business practices today.