Getting Started with Data Analysis Using Python

Author: sddd on 17-09-2017, 12:02
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Getting Started with Data Analysis Using Python
2h 32m | Video: AVC (.MP4) 1280x720 30fps | Audio: AAC 44.1KHz 2ch | 423 MB
Genre: eLearning | Language: English | Project Files

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.
Download link :
(If you need these, buy and download immediately before they are delete)

Links are Interchangeable - Single Extraction - Premium is support resumable
Getting Started with Data Analysis Using Python
2h 32m | Video: AVC (.MP4) 1280x720 30fps | Audio: AAC 44.1KHz 2ch | 423 MB
Genre: eLearning | Language: English | Project Files

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.
Download link :
(If you need these, buy and download immediately before they are delete)
Links are Interchangeable - Single Extraction - Premium is support resumable
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