Every day, around the United States, more than 36,000 weather forecasts are calculated. They gather all 36,000 forecasts, put them in a database, and compare them to the actual conditions encountered in that location on that day. All that collection, analysis, and reporting take a lot of heavy analytical horsepower and it is done with one programming language: Python. Over 40% of all data scientists use Python in their day to day work. Python has long been known as a simple programming language to pick up, which has propelled it to be the most preferred tool for a Data Scientist. In this course you will learn how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms to formulate business strategies.

Python is the most preferred language for Machine Learning and Data Science. It is ideal for handling Big Data and Deep Learning algorithms. This open source software has multiple packages which makes every type of Machine Learning algorithm possible to be deployed. It also lets one to create visualization. This is going to be the next big thing in the Analytics industry.