About this course
We've distilled our knowledge and experience using SQL into a short course so that by the end, you'll have the raw skills to do some real data analysis for your company using SQL - a language virtually EVERY company uses. Even if you have no technical background, don't be afraid!
How This Course is Structured:
- In this course we'll be pretending we're a real business (i.e. Blockbuster) so the stuff you learn will be easy to apply to your own situation/company. No abstract/theoretical mumbo jumbo.
- We'll go through queries a real business would run while also teaching you the raw skills undergirding those queries so you can adapt those skills to create custom queries for your own specific purposes
- To reinforce learning, we have exercises and quizzes scattered throughout the course so you can learn by doing
- We'll have a bonus section where new lectures will be added occasionally (including student-requested lectures, more advanced topics, strategies for getting unstuck, etc.)
- We'll be actively involved in the discussion board answering any questions you might have! Don't be afraid to ask!
A Note About Pedagogy:
We know what it's like to buy a book, feel good about yourself, never finish it and have nothing to show for it. We don't want that to happen with this course. We want this to be a course you'll actually finish. We believe half of learning is motivation and engagement, so we've tried extra hard to make this course fun, relevant, entertaining, and punchy - no frills, no dragging things out, just the good stuff. Heck, you might even find yourself skipping a party to spend time with your new best friends (i.e. us)!
FAQs:
- Do I need to purchase any software to take this course? Nope! Everything we use to do data analysis with MySQL is completely free. We'll walk you through the installation and set-up of any software we'll be using
What are the requirements?
- No previous technical knowledge required
What am I going to get from this course?
- Over 34 lectures and 3.5 hours of content!
- Analyze user behavior
- Find actionable customer/business insights
- Make data-driven decisions
- Measure and track marketing efforts
- Discover sexy marketing stats (e.g. 1 in 4 people love toast!)
What is the target audience?
- Marketers
- Startup folks
- Non-technical folks
- Aspiring Data Analysts
- Recent College Grads
- Job-seekers