## Curriculum of Python

We are deeply involved in curriculum design ensuring that it meets the current industry requirements for data science professionals.

### Core Python

• Introduction

History
Features
Setting up path
Basic Syntax
Variable and Data Types
Operator

• Conditional Statements

If
If- else
Nested if-else

• Looping

For
While
Nested loops

• Control Statements

Break
Continue
Pass

• String Manipulation

Accessing Strings
Basic Operations
String slices
Function and Methods

• Lists

Introduction
Accessing list
Operations
Working with lists
Function and Methods

• Tuple

Introduction
Accessing tuples
Operations
Working
Function and Methods

• Dictionaries

Introduction
Accessing values in dictionaries
Operations
Working
Functions

• Functions

Defining a function
Calling a function
Types of functions
Function Arguments
Anonymous functions
Global and local variables

• Modules

Importing module
Math module
Random module
Packages
Composition

• Input-Output

Printing on screen
Opening and closing file
Functions

• Exception Handling

Exception
Exception Handling
Except clause
Try ? finally clause
User Defined Exceptions

• Statistical Methods for Decision Making

Probability distribution
Normal distribution
Poisson's distribution
Bayes’ theorem
Central limit theorem
Hypothesis testing
One Sample T-Test
Anova and Chi-Square • Linear and Logistic Regression

Multiple linear regression
Fitted regression lines
AIC, BIC, Model Fitting, Training and Test Data
Introduction to Logistic regression, interpretation, odds ratio
Misclassification, Probability, AUC, R-Square

• Supervised Learning Classification

CART
KNN (classifier, distance metrics, KNN regression)
Decision Trees (hyper parameter, depth, number of leaves)
Naive Bayes

• Unsupervised Learning

Clustering - K-Means & Hierarchical
Distance methods - Euclidean, Manhattan, Cosine, Mahalanobis
Features of a Cluster - Labels, Centroids, Inertia
Eigen vectors and Eigen values
Principal component analysis

• Ensemble Techniques

Bagging & Boosting
Random Forest    