1.Python
a) Python Intro
b) Python Setup
c) Pip
d) Google Colab
2.DataTypes and Variables
a) String Operations
b) Loops and Conditional Statements
c) Collections
d) Python Functions
e) Anonymous Functions
3.Logging
a) Multi Threads
b) Multi processings
c) flatmap
4.Oops with Python
5.Magic Dunder Methods
6.Positional/inline parameters
a) os and sys modules
b) Datetime operatiosn
c) File operations
7. SQL Basics
a) Select Query
b) Insert Query
c) Aggregate functions(min,max,sum etc)
d) Group by Vs Order By
e) Ranking Functions
f) Insert
g) CTAS
8.Spark Core
a) Spark Introduction
b) Spark Core
c) Pyspark Architecture
d) Spark SQL
e)Different types of File Formats
i.Parquet
ii.Avro
iii.JSon
iv.CSV
9.Spark UI
a) Dataframe
b) Dataframe Operations
c) Spark Optimizations
10. Databricks
a) Delta Lake Introduction
b) Creation of Delta Lake
c) Merge, Update and Deletes using PySpark