Google BigQuery:Hands-On SQL Training for Data Analysis

Unlock the Power of Data with Google BigQuery

Discover Google BigQuery, a robust enterprise cloud data warehouse designed to revolutionize how you analyze data. BigQuery tackles complex data challenges by empowering you to run super-fast SQL queries, leveraging the immense processing power of Google's global infrastructure. This serverless SaaS solution offers a scalable and cost-effective way to store and analyze vast datasets, and it even includes built-in machine learning capabilities for advanced insights.

In this comprehensive course, you'll gain hands-on experience with key BigQuery concepts and SQL techniques, including:

• SQL Operators: Master the fundamental operators that drive data manipulation and filtering.
• Aggregate Functions: Learn to summarize and analyze data with powerful aggregate functions like SUM, AVG, COUNT, MIN, and MAX.
• SQL Joins: Effectively combine data from multiple tables using various join types (INNER, LEFT, RIGHT, FULL OUTER).
• Subqueries in SQL: Write complex queries using nested queries for more sophisticated data retrieval.
• Analytical Functions: Unlock advanced analytical capabilities with functions like:
  • ROW_NUMBER(): Assign unique sequential integers to each row within a partition.
  • RANK(): Assign ranks to rows within a partition based on a specified order.
  • DENSE_RANK(): Similar to RANK, but assigns consecutive ranks without gaps.
  • CUMULATIVE SUM: Calculate the cumulative sum of values over a partition.
  • CUMULATIVE AVERAGE: Calculate the cumulative average of values over a partition.
• CASE Statement and IF Function: Implement conditional logic within your SQL queries using CASE statements and the IF function for data transformation and categorization.