Python Data Analysis and Visualization

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Python Data Analysis and Visualization

Python Data Analysis and Visualization

Python Data Analysis and Visualization


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.

Contents

  • What is Analytics
  • Python Basics for Analytics
  • Reading Data
  • Describing Data
  • Cleaning Data
  • Visualizing Data

 Python Data Analysis and Visualization
FutureLearn Limited
Santosh Kumar
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