by Harish Garg | Released June 2017 | ISBN: 9781787287891

Learn Pandas, Powerful Data Analysis with Python Library in an engaging and exciting wayAbout This VideoManipulate, analyze and visualize your data using the popular pandas libraryGet introduced to the data structures to work with different kinds of dataA highly practical video showing you the whys and hows of applying pandas for your data analysis tasksIn DetailPandas is a popular Open Source Python package that provides fast, high performance data structures for performing efficient data manipulation and analysis. It has quickly emerged as a popular choice of tool for analysts to solve real-world analytical problems. This video will show you how you can get the most out of pandas for data analysis.The course starts with teaching you the absolute basics such as installing and setting up of the pandas library. Then, you will be introduced to fundamental data structures in pandas and the different data types, indexing, and more. You will then implement the basic functionalities of the pandas library such as working with different kinds of data, indexing, and handling missing data. The course will also teach you how to analyze and model your data, and organize the results of your analysis in the form of plots or other visualization means. Throughout the course, you will implement simple yet highly effective examples and use-cases which are relevant in the real-world scenario, as you build on your understanding of pandas.By the end of this course, you will have a firm understanding of the basics of pandas. You will be ready to start using pandas for different data science tasks with confidence. Show and hide more

1. Chapter 1 : Initial Configuration and Getting Data into Pandas
   • The Course Overview 00:03:53
   • Installing and Setting Up Python 00:05:35
   • Installing Pandas and Other Dependent Python Modules 00:04:47
   • Setting Up and Using Jupyter Notebooks 00:05:35
   • Importing Data (CSV) into Pandas 00:04:56
2. Chapter 2 : Exploring and Analyzing Data
   • Exploring the Imported Dataset 00:05:11
   • Manipulating and Reshaping the Dataset 00:03:38
   • Handling Missing Data in Pandas 00:03:05
   • Analyzing the Imported Dataset 00:03:35
3. Chapter 3 : Visualizing Data Using Matplotlib
   • Using Pandas and Matplotlib to Draw Plots and Charts 00:03:58
   • Drawing Bar Charts 00:03:50
   • Making Histograms 00:04:03
   • Drawing Box Plots 00:03:32
   • Drawing Some Other Kinds of Plots with Matplotlib 00:04:58
4. Chapter 4 : Exporting Data Out of Pandas
   • Exporting Transformed and Processed Data Out of Pandas 00:03:31
   • Exporting to Some Popular File Formats 00:06:08
   • Exporting to SQL-Based Databases 00:03:52
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