Industry-oriented courses designed for students and professionals.
Master SQL from Basics to Advanced including Joins, Subqueries, CTEs, Window Functions, ETL Validation and Real-Time Projects with Interview Preparation.
Learn Python programming from basics to advanced concepts including OOPs, File Handling, APIs, Pandas, Automation, and real-world project development.
Master ETL Testing concepts including data validation, source-to-target testing, data warehouse testing, SQL validation, and real-time project scenarios.
Learn Big Data processing using PySpark, DataFrames, Spark SQL, transformations, actions, and data validation for enterprise-level applications.
Understand Data Warehouse architecture, dimensional modeling, fact and dimension tables, ETL processes, and business intelligence concepts.
Gain expertise in Selenium, API Testing, Test Automation Frameworks, Python Automation, and industry-standard testing practices.
Learn Power BI from basics to advanced, including data modeling, DAX, Power Query, dashboard creation, data visualization, and business reporting.s
Learn Databricks for Big Data and Cloud Analytics, including Spark, Delta Lake, Data Engineering, ETL pipelines, and real-world projects.
Learn Azure Data Factory pipelines, data integration, cloud ETL processes, triggers, monitoring, and real-world data migration projects.
Master NumPy for numerical computing, arrays, mathematical operations, data manipulation, and performance optimization in Python applications.
Master Snowflake Cloud Data Warehouse, including SQL, data loading, Snowpipe, Time Travel, Streams, Tasks, and real-world data engineering projects.