Learn Python for data analysis and visualization by analyzing large datasets. Covering Python 3, Pandas, and Seaborn.

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Data Analysis with Python & Pandas

2 Jan , 2017  

Requirements
  • A working computer (Windows, Mac, or Linux)
  • No prior knowledge of Python is required
 
 
Description

This Python course will get you up and running with using Python for data analysis and visualization. You will learn how to handle, analyze and visualize data in Python by actually completing two big data analysis projects, one demonstrated through videos and another laid out through six exercises.  

The course assumes you have no prior knowledge of Python, so you also get to learn the basics of Python in the first two sections of the course. However, if you already know Python, the first two sections can serve as a refresher before you jump into the data analysis and visualization part.

In the course you will learn to use Python third-party data analysis libraries such as Pandas, Matplotlib, Seaborn, just to mention a few and tools to boost your productivity such as Spyder and Jupyter.

As you progress through the course, you will be guided step by step on building a program that uses real world data containing hundreds of files and millions of records. You will learn to write Python code that downloads, extracts, cleans, manipulates, aggregates and visualizes these datasets using Python. Apart from following the video screencasts, you will also be required to write your own Python scripts from scratch for completing a data analysis project on income data.

Who is the target audience?
  • Those who come from any technology field that deals with any kind of data.
  • Those who want to leverage the power of the Python programming language for handling data.
  • Those who need to learn Python basics and want to quickly advance their skills by learning how to perform data cleaning, analysis and visualization with Python – all in one single course.
  • Those who want to switch from programming languages such as Java, C, R, Matlab, etc. to Python.

 

Learn Python for data analysis and visualization by analyzing large datasets. Covering Python 3, Pandas, and Seaborn.

 

 

 

Data Analysis with Python & Pandas

 

 

 

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