SQL for Data Analysis
A simple & concise mySQL course (applicable to any SQL), perfect for data analysis, data science, business intelligence.
I have launched the course as a free, shortened version. It is an excellent introduction to the basics of handling data. Two points I want you to know:
- The course so far is an in-depth view on a small & important part of SQL, rather than a light-touch overview of everything.
- Technically, the full paid version is on the way. But I am finding it very difficult to find the time to complete the lessons (between other projects and work).
Therefore for those who need a comprehensive course now, I'd suggest signing up to a couple of courses now including this one while it's free. That way you can learn now but also enjoy all the additional lessons for free when they arrive.
Note on the Communicating: Udemy prevents instructors of Free courses from answering any questions from students. Therefore for now I cannot provide any feedback or respond to comments.
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| SQL for Data Analysis |
What You'll Learn
- The most important SQL to get you job ready fast.
- To apply SQL to solve real-world business problems.
- Excellent skills in handling, joining, and summarizing data.
- How a realistic relational database works (using never seen before data).
- To set up an analysis and solve problems from start to finish using SQL.
- And how to decide which animals to see when you visit Australia.
Who this course is for
- You want to stand out in interviews for your dream job in data analysis, business intelligence, or data science.
- You're a student wanting a taste of what real-world data analysis is like.
- You're a product manager, marketing manager, or commercial manager, short on time but need to level-up in data skills to stand out in your career.
- You're a budding data scientist: SQL is critical for feature engineering, which is a large part of any data science role. Plus, SQL is a much faster and easier route to data than Python.
- You're already a data analyst using a different language but have moved to a company that uses SQL.
Requirements
- No coding experience required.
- No data experience required.
- No 'math brain' required.
- Requirements: Eagerness to learn, sense of humour, and a career to build!
- The lessons are targeted to 'everyday people' with a can-do attitude and a healthy aversion to reading textbooks.
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