Python and its importance in Modern day
Python IDE's and Google Colab
DataTypes
Operators
Expressions
Control structures: Decision control structures
Simple If, If-Else, Nested If-Else, If-Elif-Else
Control structures: Iterative control structures (For Loop and while)
String creation and indexing,
Indexing and Accessing elements of strings using For loop
Break and Continue statements
Functions and Types of Arguments
Recursion
Collections: Lists
List Functions
Collections:Tuples and Sets
Collections:Dictionary

Data and Statistics
Sample vs population
Sampling Techniques
Numerical (continuous and discrete) and categorical,nominal,ordinal,interval scale,ratio scale
Measures of central tendency
Measures of dispersion
Important terminology,
Normal distribution & Z distribution
Correlation,Z,test,T test, Anova and chi-squared test and Python using statistical model

Below implementation with Python
Supervised Learning
Regression
R-Squared, Adjusted R-Squared, MSE, MAE, RMSE
Classification
Performance metrics, Confusion Matrix, Accuracy, Precision, Recall
Decision Trees
Random Forests
k-Nearest Neighbors (k-NN) and SVM
Neural Networks
Ensemble Methods
Gradient Boosting (e.g., XGBoost)
Unsupervised Learning
Clustering (e.g., k-Means)Dimensionality Reduction using PCA

Introduction to DataBases and Installation
Data types and Create Database
String Functions
Numeric and Temporal functions
SQL functions
Aggregate functions in SQL
SQL Joins
Union
Database normalization
Clustered and non clustered index
SQL views