BigQuery for Data Analysis

Module 1: Introduction to BigQuery

• Overview of BigQuery and Google Cloud Platform
• Data warehousing fundamentals

Module 2: Getting Started with SQL in BigQuery

• Basic SQL syntax and querying
• Loading and exporting data

Module 3: Advanced SQL Queries

• Joins, subqueries, window functions
• Using nested and repeated fields

Module 4: Data Partitioning and Clustering

• Improving query performance
• Cost optimization techniques

Module 5: Integrating BigQuery with Visualization Tools

• Connecting with Looker Studio and others

Module 6: Machine Learning with BigQuery ML

• Building and deploying ML models with SQL

Module 7: Managing BigQuery Resources

• Creating datasets and tables
• Managing permissions and security

Module 8: Query Optimization and Best Practices

• Tuning queries and understanding execution plans

Module 9: Real-World Case Studies and Labs

• Practical data analysis workflows

Module 10: Certification Preparation

• Exam tips and practice questions

Experience in the Industry Gain knowledge from experts with practical BigQuery for Data Analysis project experience in a variety of sectors.

Backgrounds at the Top Prominent corporations such as hcl, tcs , accenture  and cognizant  employ trainers.

Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.

Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.

Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.