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Python Data Analysis and Visualization

Python Data Analysis and Visualization

This course assumes no prior experience and can teach anyone how to use Python to analyze and visualize data. Stop using Excel and start harnessing the power of Python.

Data analysis is one of the hottest careers of the 21st century. As an analyst, your goal is to peel back layers of data in order to answer questions of interest; that is the power of analytics. It allows you to take raw data and create meaningful, actionable insights.

In this course, you’ll learn how to use Python, NumPy, SciPy, Pandas, and Seaborn to perform data analysis and visualization. You’ll explore the four crucial steps for any data analysis project: reading, describing, cleaning, and visualizing data.

In each step, you will work with the most common and popular tools that data analysts use every day. By the end of the course, you will be able to confidently extract knowledge and answers from data.

Gain the ability to analyze and visualize data with Python using an assortment of powerful libraries.

With over 400 billion gigabytes of data out there and more every day, companies are paying top dollar to those who can leverage it. Strong data skills are becoming increasingly valuable - even if you choose not to become a professional data scientist. This path will help you master the skills to extract insights from data using a powerful (and easy to use) assortment of popular Python libraries.

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