Data Science
Statistics, machine learning, deep learning and GenAI with real datasets.
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Course
Data Engineer
Learn to build reliable data pipelines that collect, clean and move data at scale, using SQL, Python, Spark and modern cloud data platforms.
What you will learn
01Advanced SQL
Window functions, CTEs, query tuning and data modelling
02Python for data
pandas, file formats, APIs and data cleaning
03Data warehousing
Star and snowflake schemas, Snowflake and Synapse
04Big data with Spark
PySpark, DataFrames, Spark SQL and performance
05ETL & orchestration
Azure Data Factory, Airflow and incremental loads
06Cloud data platforms
Azure Databricks, Data Lake, AWS S3 and Glue
07Capstone project
Build an end-to-end data pipeline with a reporting layer
Tools & technologies
SQLPythonPySparkDatabricksAzure Data FactoryAirflowSnowflakeAWS
Who should join
- SQL, ETL and BI developers moving to data engineering
- Graduates with an interest in data
- Software developers who want to work with big data
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