Module 1:- Python

• Foundations of programming:
• Python built-in Data types
• Understanding Data Types in Python
• Control flow statements:
• Functions
• Oops
• Class
• Object
• Constructor
• Arrays
• List comprehensions and Lambda
• Parsing information with Python
• Dictionaries
• Tuples
• Python Programming Language
• Lambdas Python
• Regular Expressions
• Introduction to NumPy
• Arrays Structured Data:
• NumPy’s Structured Arrays
• Advanced NumPy
• Introducing Pandas Objects
• Data Indexing and Selection
• Operating on Data in Pandas,
• Handling Missing Data
• Hierarchical Indexing
• Combining Datasets:
• Aggregation and Grouping and Pivot Tables

Module 2:- SnowFlake

• Snowflake architecture in detail.
• SnowSQL/SQL
• How data processing happens in snowflake.
• Secure data sharing in snowflake.
• Understand different caching layers in snowflake.
• Continues data load using snowpipe.
• Clustering tables in snowflake and how it works under the hood.
• Load data and unload data from AWS , GOOGLE and AZURE cloud
• Snowflake internal stage and external stages.
• Snowflake data sampling and its importance.
• Detail overview about, snowflake clone , failsafe and data retention.
• Unique features of Snowfalke ( time travel , undrop , table swap)
• Scheduling using Tasks
• Streams in snowflake
• Best practices in snowflake