Syllabus Data Analyst
In the Google and Reichman Data Analyst program, we live by a simple rule: without data, you’re just another person with an opinion; but without an opinion, you’re just another person with data. In a world where AI can generate charts in seconds, the technical/coding "how-to" is no longer enough. The real value now lies in your judgment and your ability to think critically about what the numbers actually mean. We’ve designed this program to give you that edge, integrating AI into every step—from writing code and mastering statistics to nailing your technical interviews. What does this actually mean for your day-to-day career? Once you land a role in a top tech organization, your day won't be spent stuck in manual data entry or basic spreadsheet cleanup. Instead, you’ll be the person driving the strategy. You’ll learn directly from instructors who lead teams at top companies, showing you exactly how they integrate AI tools into their real-world workflows. Beyond the basics, you'll master SQL for big data, cloud-based visualization, and Python automation to handle scale. • Handling the "Messy" Stuff: You’ll use Gemini and Python to build conversation analysis tools and AI Studio to pull insights from unstructured data that others can't even process. • Bulletproof Logic: You’ll use synthetic AI data to stress-test your stats, ensuring that when you make a recommendation to a VP of Product or Finance, your logic is unshakeable. • The Power of Persuasion: You’ll use "vibe coding" to quickly turn exploratory data into a narrative that doesn't just show numbers, but convinces stakeholders to take action. You’ll walk away with the ability to provide strategic guidance to Engineering, Product, and Finance teams. We aren't just teaching you how to use tools; we’re training you to be the expert who uses AI to work faster, think deeper, and lead the conversation.
