Data Analytics

Every company has data. Most companies have no idea what to do with it. They're sitting on spreadsheets full of customer information, sales figures, and operational metrics, and making decisions based on gut feeling because nobody knows how to pull the right numbers and present them in a way that actually makes sense. That's where you come in. Data Analytics isn't about writing complex algorithms or building AI models. It's about asking the right questions, finding the answers in the data, and presenting those answers so clearly that a CEO with 30 seconds of attention can make a decision from your dashboard. This course teaches the full stack of analytics tools: Advanced Excel (because it's still everywhere), SQL (because that's where the data lives), Power BI and Tableau (because visual storytelling is what gets attention), and Python for when you need to go beyond what spreadsheets can handle. The focus is practical. Every week, you work with a real dataset (sales data, customer data, HR data, financial data) and produce deliverables that look like what you'd actually hand to a manager. By the end, you'll have a portfolio of dashboards and analyses that show employers exactly what you can do.