Data Science With Python

Data Science Overview

Introduction to Data Science

Different Sectors Using Data Science

Purpose and Components of Python

 Data Analytics Overview

Data Analytics Process

Knowledge Check

Exploratory Data Analysis(EDA)

EDA-Quantitative Technique

EDA - Graphical Technique

Data Analytics Conclusion or Predictions

Data Analytics Communication

Data Types for Plotting

Data Types and Plotting

Knowledge Check

Statistical Analysis And Business Applications

Introduction to Statistics

Statistical and Non-statistical Analysis

Major Categories of Statistics

Statistical Analysis Considerations

Population and Sample

Statistical Analysis Process

Data Distribution

Dispersion

Histogram

Testing

Correlation and Inferential Statistics

Python Environment Setup And Essentials

Anaconda

Installation of Anaconda Python Distribution (contd.)

Data Types with Python

Basic Operators and Functions

Mathematical Computing With Python (NumPy)

Introduction to Numpy

Activity-Sequence it Right

Demo -Creating and Printing an nd array

Class and Attributes of  an array

Basic Operations

Activity-Slice It

Copy and Views

Mathematical Functions of Numpy

 Scientific Computing With Python (Scipy)

Introduction to SciPy

SciPy Sub Package - Integration and Optimization

SciPy sub package

Demo - Calculate Eigenvalues and Eigenvector

SciPy Sub Package - Statistics, Weave and IO

Data Manipulation With Pandas

Introduction to Pandas

Understanding DataFrame

View and Select Data Demo

Missing Values

Data Operations

File Read and Write Support

Pandas Sql Operation

Machine Learning With Scikit–Learn

Machine Learning Approach

How it Works

Supervised Learning Model Considerations

Scikit-Learn

Pipeline

Model Persistence and Evaluation

Natural Language Processing With Scikit Learn

NLP Overview

NLP Applications

NLP Libraries-Scikit

Extraction Considerations

Scikit Learn-Model Training and Grid Search

 Data Visualization In Python Using Matplotlib

Introduction to Data Visualization

Line Properties

(x,y) Plot and Subplots

Web Scraping With BeautifulSoup

Web Scraping and Parsing

Understanding and Searching the Tree

Navigating options

Demo - Navigating a Tree

Modifying the Tree

Parsing and Printing the Document