SQL Master Class For Data Analysis

Learn to write T-SQL queries for Data Analysis in a day. See how the results are easily visualised using Qlik Sense
4.69 (1052 reviews)
Udemy
platform
English
language
Data & Analytics
category
instructor
SQL Master Class For Data Analysis
5 815
students
7.5 hours
content
Oct 2024
last update
$19.99
regular price

Why take this course?

🌟 SQL Mastery for Data Analysis 🌟

Course Instructor: Paul Scotchford

🚀 Course Headline: Dive into the World of SQL for Powerful Data Analysis!

Are you drowning in data but struggling to make sense of it all? Fear not! SQL is your lifeline, the key to unlocking the insights within your databases. Whether you're working with SQL Server, Oracle, or any other SQL Database, this course will equip you with the skills to master SQL for data analysis.

Why Take This Course?

  • Comprehensive Learning: Understand how to use SQL to perform complex data analysis and answer the challenging questions that arise daily in your professional life.
  • Expert Guidance: Paul Scotchford, a seasoned Data Analyst and Visualisation Engineer, will lead you through the course with his expertise and real-world experience.

🔍 What You Will Learn:

  • Table Join Types: Master all types of joins, from INNER JOIN to OUTER APPLY, and understand when and how to use them effectively in your queries.
  • Advanced SQL Techniques: Discover how to calculate running totals, utilize ROLLUP for aggregate functions, and leverage the LAG() function to compare rows within your dataset.
  • Real-World Scenarios: Engage with sample databases filled with real data, practice with code scripts, and tackle practice exercises and quizzes to solidify your knowledge.

🛠️ Key Skills You Will Gain:

  • JOINs: Know the different types of joins and when to apply them for efficient querying.
  • OUTER APPLY: Learn how this easy and powerful operator can enhance your queries.
  • Running Totals: Write SQL that provides a running total in a single line of code.
  • ROLLUP: Understand where and why to use ROLLUP statements for comprehensive data aggregation.
  • LAG() Function: Get to grips with the LAG() function for comparing data points within your dataset.

💻 Course Materials Provided:

  • Sample databases with real data
  • Code scripts for practical application
  • Practice exercises for hands-on learning
  • Quizzes to test your understanding

💰 Money-Back Guarantee:

We stand by the quality of our course. If within 30 days you feel this course hasn't delivered value, we offer a full refund—no questions asked!

Who Is This Course For? This course is designed for anyone who works with SQL databases and wants to enhance their data analysis skills, including:

  • Data Analysts
  • Business Intelligence Professionals
  • Database Administrators
  • Aspiring Data Scientists

📚 Take the Next Step: Enroll in "SQL - Master Class For Data Analysis" today and transform the way you handle data analysis. With Paul's guidance, you'll gain the confidence and skills to tackle any data challenge with SQL.

Stay safe and well!

Best Regards, Paul Scotchford 📊✨

Course Gallery

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Comidoc Review

Our Verdict

SQL Master Class for Data Analysis offers a rich, hands-on approach to data analysis, diving deep into SQL concepts that cater to an array of experience levels. While beginners may face mild turbulence initially due to the swift pace, ultimately they'll gain tremendously from its practical exercises and valuable insights—securing a must-explore status for aspiring analysts.

What We Liked

  • Covers both beginner & advanced SQL concepts, making it beneficial for learners at various skill levels.
  • Expertly designed practical exercises to aid understanding & retention of complex topics.
  • In-depth exploration of quantitative analysis coding techniques using intricate SQL functions.
  • Focuses on real-world relational database modeling and data-driven decision making.

Potential Drawbacks

  • Progression may be challenging for complete beginners, as course assumes nominal familiarity with databases.
  • Pace of the course might be faster than some learners prefer, requiring them to revisit sections frequently.
  • Some learners might desire additional context around fundamental database management principles.
  • Last section doesn't blend well with the rest of the curriculum and lacks focus.
573008
udemy ID
04/08/2015
course created date
22/11/2019
course indexed date
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course submited by