Elevate Your Data Science Skills with SQL Certification

Unlock your data science potential with this Free Udemy Course. Enroll now!

Embark on a transformative journey in data science with our Certified SQL & Databases for Data Science course. This course is finely tailored to elevate both beginners and intermediate analysts into proficient SQL experts. We begin with fundamental relational database concepts—including primary keys, foreign keys, and normalization—before swiftly advancing to more complex topics. Here, we emphasize essential SQL techniques like complex joins, subqueries, and CRUD operations, all designed to ensure that you master the intricacies of data manipulation.

At the heart of this training lies a focus on analytical SQL, where you will explore the use of tools such as Common Table Expressions (CTEs), advanced grouping techniques with ROLLUP and CUBE, and vital Window Functions (like RANK, LAG, and moving averages). This knowledge will empower you to conduct in-depth data aggregation and perform robust time series analysis directly within the database environment, propelling your data analysis capabilities to new heights.

Unique to this course is our commitment to application over mere syntax. You will engage with realistic datasets and work through practical case studies centered on common data science scenarios, such as A/B testing analysis and cohort segmentation. Upon completion, you will possess a well-rounded, certifiable skill set in high-performance data retrieval and manipulation, equipped to tackle the challenges faced in the real world of data science.

What you will learn:

  • Understand relational database theory, keys, and normalization
  • Employ advanced SQL techniques for data analysis
  • Integrate SQL with Python for efficient data processing

Course Content:

  • Sections: 5
  • Lectures: 20
  • Duration: 10 hours

Requirements:

  • Basic understanding of programming concepts
  • Familiarity with data analysis

Who is it for?

  • Aspiring Data Scientists
  • Data Analysts
  • Business Intelligence professionals
  • Students or career changers
  • Experienced programmers wanting to deepen their SQL knowledge

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