DATA SCIENCE WITH PYTHON

Description

Python programming and gain deep knowledge in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.

COURSE DESCRIPTION:

Python is a multi-paradigm or versatile programming language that can be considered as a sort of swiss knife for the coding world. This is because it supports structured programming, Object Oriented Programming, and even functional programming patterns. The versatility of Python undoubtedly makes it the best-suited programming language for the data scientists. Here are some of the other advantages of python for data science, which will help you understand why you should learn data science with Python:

Python is a powerful open source programming language, which means that it’s free to use while having all the properties that a programming language should have. It is a versatile programming language that supports Object-Oriented Programming, Structured Programming, and functional programming patterns. Python has some 72,000 libraries in the Python Package Index that aid in scientific calculations and machine learning applications.

WHY LEARN DATA SCIENCE WITH PYTHON?

Python could be a multi-paradigm or versatile programming language that may be considered as a kind of Swiss knife for the coding world. This is because it supports structured programming, Object-oriented Programming, and even useful or functional programming patterns. The versatility of Python undoubtedly makes it the best-suited programing language for the data scientists. Here are some of the other benefits of python for data science, which will help you understand why you should learn data science with Python:

Python is a powerful open source programing language, which implies that it’s free to use while having all the properties that a programing language ought to have.
It is a versatile or flexible programming language that supports Object-Oriented Programming, Structured Programming, and functional programming patterns.
Python has some 72,000 libraries within the Python Package Index that aid in scientific calculations and machine learning applications.
Python sports a simple to grasp and readable syntax that ensures that the development time is cut into half in comparison with other programming languages.
Python permits you to perform data analysis, data manipulation, and data visualization that are vital in data science.

SELF PACED COURSE

Lifetime access to high-quality self-paced e-learning content curated by industry experts
Support from Industry Professionals
12 Chapters
24×7 Access to eLearning Resources
Weekly Query Resolutuion Sessions

WHAT ARE THE COURSE OBJECTIVES?

This course will enable you to:
Gain an in-depth understanding of data science method, data wrangling, data exploration, data visualization, hypothesis building, and testing. You’ll additionally learn the fundamentals of statistics.
Install the specified Python environment and other auxiliary tools and libraries
Understand the essential ideas of Python programming like data types, tuples, lists, dicts, basic operators, and functions.
Perform high-level mathematical computing using NumPy package and its massive library of mathematical functions
Perform scientific and technical computing using SciPy package and its sub-packages like Integrate, Optimize, Statistics, IO, and Weave.
Gain experience in machine learning using the Scikit-Learn package
Gain an in-depth understanding of supervised learning and unsupervised learning models for example linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
Use Scikit-Learn package for natural language processing
Extract useful data from websites by performing web scrapping using Python
Integrate Python with Hadoop, Spark, and MapReduce