Information of news
  • Views: 0
  • Author: voska89
  • Date: 19-09-2016, 04:43
 (Votes #: 0)

Data Wrangling and Analysis with Python Training Video

Category: Tutorial

Download Now


Data Wrangling and Analysis with Python Training Video
Data Wrangling and Analysis with Python Training Video
Duration: 3.5 hours | Video: h264, yuv420p, 1280x720 30fps | Audio: aac, 44100 Hz, 2ch | | 1.41 GB
Genre: eLearning | Language: English | Project Files



Discover the data analysis capabilities of the Python Pandas software library in this introduction to data wrangling and data analytics. Designed for learners with some core knowledge of Python, you'll explore the basics of importing, exporting, parsing, cleaning, analyzing, and visualizing data.The course focuses on Pandas, where you'll learn to filter, group, match, and join data and then move on to advanced functions like analyzing trends and normalizing your data. There is also an introduction to some nifty skills like web scraping, working with API data, fuzzy matching, multiprocessing, and analyzing code performance.- Master the basics of Python data wrangling and data analysis
- Discover the Pandas software library and its use as a data analysis tool
- Learn to pull data from disparate sources (Excel, CSV, PDF, APIs, etc.)
- Explore web scraping and how to handle encoding and decoding
- Understand how to identify and clean data using RegEx and fuzzy matching
- Sample other data analysis tools like natural language processing and Numpy
- Learn the data visualization capabilities of MatDescriptionlib and Bokeh

Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me

Direct Download


Tags: Wrangling, Analysis, Python, Training


Data Wrangling and Analysis with Python Training Video Fast Download via Rapidshare Hotfile Fileserve Filesonic Megaupload, Data Wrangling and Analysis with Python Training Video Torrents and Emule Download or anything related.
Dear visitor, you went to website as unregistered user.
We encourage you to Register or Login to website under your name.

Add comments

Name:*
E-Mail:*
Comments:
Enter Code: *