Getting Started with Data Analysis Using Python 2
Python is an excellent tool for data analysis. In this course, you'll learn how to collect, analyze, and persist data, then build data visualizations using python, csv files, sqlite, and pygal.
What you'll learn
Data analysis is one of the fastest growing fields, and Python is one of the best tools to solve these problems. In this course, Getting Started with Data Analysis Using Python, you'll learn how to use Python to collect, clean, analyze, and persist data. First, you'll discover techniques including persisting data with csv files, pickle files, and databases, along with the ins and outs of basic SQL and Sqlite command line. Next, you'll delve into data analysis and how to use common data structures, such as lists, dictionaries, tuples, and sets. Additionally, you'll learn how to use these structures and apply these skills to widely available stock market data. Finally, you'll explore pygal, a Python library for data visualization. When you're finished with this course, you'll have the necessary knowledge to efficiently build stunning charts and graphs utilizing data analysis in Python.
Table of contents
This course is for Excel power users or individuals who are new to data analysis and interested in learning about how Python applies to it.
Data visualizations make big and small data easier for the human brain to understand, and visualization also makes it easier to detect patterns, trends, and outliers in groups of data. Good data visualizations should place meaning into complicated datasets so that their message is clear and concise.
Pygal is a Python module that creates SVG (Scalable Vector Graphics) graphs/charts in a variety of styles. Pygal is highly customize-able, yet also extremely simplistic, which is a very rare combination. You can make line graphs, bar graphs, histograms, pie charts, maps, and a whole lot more.
SQLite is a relational database management system contained in a C library. In contrast to many other database management systems, SQLite is not a client–server database engine. Rather, it is embedded into the end program.
A tuple is an immutable list of Python objects which means it can not be changed in any way once it has been created. Unlike sets, tuples are an ordered collection.