DATA SCIENCE WITH PYTHON

Learn DATA SCIENCE IN PYTHON with Inspire And get hands on experience with the knowledge of

data analysis, manipulation, and visualization with pandas.

Course Description

Data science is a blend of statistics, machine learning, data analysis and several other methods to comprehend and evaluate the data to gain valuable insights. Python is the most famous programming language for data science nowadays. It is powerful, simple to learn and flexible for the purpose of coding data science and machine learning algorithms. In the recent times, Python has evolved widely with regard to data science domain. There is a wide community around Python .There are few powerful data science and analytics packages including Pandas, Scipy, Numpy etc. in Python.

What you will Learn !

Data Science with Python Syllabus

Introduction to Data Science with Python

· Introduction to Data Science

· Different Sectors Using Data Science

· Purpose and Components of Python

Python – Overview

· A brief history of python

· Application and trends in python

· Available python versions

Python Environment Setup and Essentials

· Getting and installing python

· Environmental variables and idle

· Executing python from command line

Working with 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

· Knowledge Check

· Histogram

· Knowledge Check

· Testing Knowledge Check

· Correlation and Inferential Statistics

Working with Python for Analytics

· Key Python Libraries

· Numpy

· Pandas

· Seaborn

· Matplotlib

· Data Manipulation

· Slicing & Dicing Data for deeper insights with Python

Working with Linear Regression-Python

· Regression Coefficients and testing of slopes

· Logit Function

· Classification Matrix

Working with Deep Learning –I

· Tensor Flows

· Keras

· Deep Nets

Data Science with Python

Working with Text Mining

· Importing Text Data

· Data Cleaning

· Word-Cloud

· Sentiment Analysis

Working with Python Data Visualization

· Python Chart Properties

· Python Chart Styling

· Python Box Plots

· Python Heat Maps

· Python Scatter Plots

· Python Bubble Charts

· Python 3D Charts

· Python Time Series

· Python Geographical Data

· Python Graph Data

Working with Data Manipulation

· Basic Functionalities of a data object

· Concatenation of data objects

· Exploring a Dataset

· Merging of Data objects

· Types of Joins on data objects

· Analysing a dataset

Case Study

Core Python & Pandas Exercises

· Solving different exercises related data importing, data manipulation, data processing, data visualization, data exploratory analysis (Univariate, Bi-Variate analysis) etc using different packages like Pandas, Numpy, matplotlib, seaborn

Projects to handle by students

Requirements :

A bachelor's degree with an average of 50% or higher alongside a basic understanding of programming and maths.

Professionals with 2+years of work experience .

Job titles in Data Science with Python