About Python Data Science Course
This Course will introduce you to Python and how to use it for statistical data analysis, Data Management and Data Visualization.
Before data can be analyzed, there are multiple steps involved, including Data preparation, Data import, cleaning and transforming data. This course is comprised of 2-parts:
An overview of basic and intermediate Pandas, demonstrating how effectively panda manipulates datasets in memory. You will have hands on experience on indexing, alignment, join/merge methods, date/time types, and handling of missing data.
Another part of this course will cover plotting and visualization using Pandas and Matplotlib, focusing on creating effective visual representations of your data, statistical data modeling using some of the advanced functions in Numpy,Scipy and Pandas.
Why Python for Data Analysis?
Python is an easy language to learn and is a very powerful solution for complex Data Analysis tasks.
Python was developed and used for the first time in 1991 by Guido Van Rossem. Since then Python has become one of the most popular, dynamic, programming languages in the world of Computer Programming. Python is basically a scripting language, which is easy to learn and quick to code in form of scripts.
Python is also very popular among Mathematicians and Data analysts. It is an open source tool– free to install along with online community support.