Data Analysis

Beginners to Advanced Excel course for those who are preparing for a data career (especially Data Analysts). This course is carefully curated by industry experts to mimic real-world scenarios to prepare you to become a market fit. You will also get practical exercises to practice and get a simulated experience of a data analyst using Excel to solve problems.

This course is designed for data analysts and freshers looking to build a strong foundation in data engineering. You’ll learn core concepts like OLAP vs. OLTP, ETL vs. ELT, and Medallion Architecture, while gaining hands-on experience with AWS tools like S3, Glue, Lambda, Athena, and Redshift. Build your first end-to-end ETL pipeline, automate workflows, and create dashboards with Power BI. You’ll also explore analyst-friendly overviews of Snowflake, Databricks, Airflow, and DBT, along with key engineering best practices.

A practical course for aspiring and working data analysts to automate workflows and boost productivity using AI agents and no-code tools. Work on real-world projects like automating CSV imports, API data collection, natural language to SQL query agents, multi-step Power BI automation, invoice-to-insights processing, and multi-agent master data governance. Through guided exercises, quizzes, and hands-on practice, you’ll learn to design and optimise automations that save time and improve data reliability. INCLUDES: LIVE hands-on workshops for continuous expert guidance!