Getting Started with Data Analysis Using Python

Pluralsight
Course Summary
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.
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Course Description
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.
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Course Syllabus
Course Overview- 1m 20s
—Course Overview 1m 20sIntroduction to Python Data Analysis- 10m 8s
—Course Introduction 4m 47s
—Installing and Executing Python Scripts 3m 56s
—Summary 1m 25sCollecting Stock Market Data- 21m 43sUnderstanding Python Data Structures- 44m 9sPersisting Data in Databases and Files- 39m 55sAnalyzing Stock Market Data- 17m 56sBuilding Simple Data Visualizations- 14m 42sCourse Summary and Next Steps- 3m 0s