Data Analyst Foundations: Python, SQL, and Modern Data Workflows

In today's data-driven world, the ability to translate raw numbers into actionable business insights is one of the most valuable skills you can build. This course provides a clear, step-by-step introduction to the essential tools and techniques used by modern data analysts. You will transition from a complete beginner to a confident data explorer. By reading through structured explanations and practicing with written code examples, you will learn how to extract, clean, analyze, and present data effectively using industry-standard tools. What you'll learn: * Understand foundational data concepts, structures, and the typical lifecycle of an analysis project. * Write clean SQL queries to retrieve, filter, and aggregate data from relational databases. * Apply Python programming basics to manipulate data using modern libraries like pandas. * Clean messy datasets by handling missing values, formatting anomalies, and duplicate entries. * Create informative data visualizations and summarize findings to drive business decisions. * Explore modern data workflows, including version control basics and using AI prompts to assist in writing analysis code. The course starts with key terminology and foundational data concepts before moving into database querying and Python scripting. You will progress naturally from reading simple data structures to drafting comprehensive data analysis workflows. This course is designed specifically for beginners with no prior programming or data analysis experience. No special software is required to start. Start your journey into the world of data analytics today.