Data Analyst Foundations with AI Integration

In today's data-driven world, businesses rely on clear insights to make strategic decisions, and the role of the data analyst has evolved to include powerful artificial intelligence tools. This course bridges the gap between classic data analytics and modern AI workflows, preparing you for the current industry landscape. You will transition from an absolute beginner to a confident data professional. You will learn how to clean, analyze, and visualize data, and how to use AI to write better queries, automate repetitive tasks, and uncover deeper business insights. What you'll learn: - Understand foundational data concepts, business metrics, and the lifecycle of a data analysis project. - Write SQL queries to extract, filter, and aggregate data from relational databases. - Analyze datasets using Python, modern dataframe libraries, and essential statistical methods. - Design clear business intelligence dashboards that communicate key metrics to stakeholders. - Apply AI-assisted techniques to accelerate data cleaning, generate code, and summarize complex findings. The course begins with fundamental concepts of data structures and business metrics, then guides you step-by-step through SQL databases, Python programming, and visualization tools. You will wrap up by learning how to seamlessly integrate AI prompts and workflows into your daily analytical tasks. This course is designed specifically for beginners with no prior programming or data background who want to start a career in data analytics. Start reading today to build the modern analytical skills that businesses need.