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.
Author Name: Terry Toy
Author Description:
Terry has over 15 years’ experience in software development from business applications to embedded systems. He has worked at a variety of government agencies and private firms including: California Senate, Office of Legislative Counsel, and Space Systems Loral. Terry, a former officer in the U.S. Coast Guard, has degrees in Math/Computer Science, Electrical Engineering, and Management. In addition to his industry experience, Terry has taught numerous programming and web development courses. In h… more

Table of Contents

• 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