Modern Data Analytics with Generative AI Integration

Data is the backbone of modern decision-making, but the tools used to process it are evolving rapidly. This course bridges the gap between traditional analytics and the new era of artificial intelligence, showing you how to work smarter and faster. You will transition from understanding raw data to delivering sophisticated insights using a combination of industry-standard tools and modern AI-driven techniques. Through this text-based program, you will develop a versatile skill set that combines technical proficiency with the latest AI workflows. You will learn to: - Understand foundational data concepts and the role of generative AI in the modern analytical workflow - Write efficient SQL queries to extract, filter, and join data from relational databases - Apply Python for data manipulation using modern libraries and clean coding practices - Create interactive dashboards in Power BI that follow accessibility and user-experience best practices - Utilize prompt engineering to automate data cleaning, summarize complex datasets, and generate code - Explore how retrieval-augmented generation (RAG) concepts can be applied to querying data reports The course begins with essential terminology and data literacy before moving into technical implementation with SQL, Python, and business intelligence tools. Each section includes written explanations and code-based exercises to reinforce how generative AI assists in every stage of the data lifecycle. This program is designed for absolute beginners with no prior experience in programming or statistics. Start your journey into the data-driven future today.