» » » Hands-On Data Analytics for Beginners with Google Colaboratory
Information to the news
  • Views: 0
  • Author: buby2009
  • Date: 2-08-2018, 12:48
2-08-2018, 12:48

Free Download Hands-On Data Analytics for Beginners with Google Colaboratory

Category: Tutorials / Programming

Hands-On Data Analytics for Beginners with Google Colaboratory
Hands-On Data Analytics for Beginners with Google Colaboratory
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 568 MB
Genre: eLearning | Language: English

Google Colaboratory is an online platform to perform data analysis. It enables you to create interactive Jupyter notebooks that mix text with Python code to run queries and display data analysis results. Stored on Google Drive you'll be able to run notebooks and collaborate with peers through Google's cloud services.

In this course, you will learn to solve problems and obtain key results with data. You will begin by building your own Jupyter notebook before you explore and learn the basics of Google Colaboratory. Then you will explore several file formats to store data and use SQLite to query large datasets. Next, you will learn to initialize 1D and 2D data structures with the Numpy and Pandas libraries to help organize and summarize metrics such as the mean, median, and standard deviation of your data.

Moving further, you will learn to identify outliers in your data, eliminate dirty data and perform common data transformations. Finally, you will use qualitative and quantitative data types with MatDescriptionlib to display effective charts and visuals. By the end of this course, you'll have the tools to perform data analysis to tell your own compelling stories with data.

The code bundle for this course is available at https://github.com/PacktPublishing/Hands-On-Data-Analytics-for-Beginners-with-Google-Colaboratory-Video-

Hands-On Data Analytics for Beginners with Google Colaboratory

Download link:

Download Via Rapidgator.net


Download Via Uploadgig.com

Links are Interchangeable - No Password - Single Extraction
Dear visitor, you entered the site as an unregistered user.
We recommend you to register or login to the website using your name.


News archive