Getting Started with Data Analysis Using Python 2

A beginners course on how to use Python Software to analyze data. Discover different techniques and to build different charts. Take the Course Today!

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.

• Course Overview 1min
• Introduction to Python Data Analysis 10mins
• Collecting Stock Market Data 12mins
• Understanding Python Data Structures 44mins
• Persisting Data in Databases and Files 39mins
• Analyzing Stock Market Data 17mins
• Building Simple Data Visualizations 14mins
• Course Summary and Next Steps 3mins