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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.
This Course Includes
pluralsight
3 (76 reviews )
2 hour 23 minutes 
english
Online - Self Paced
core courses
pluralsight
About Getting Started with Data Analysis Using Python 2
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.
What You Will Learn?
- 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.