Data Science with Python - Beginners

Category: Tutorial

Posted on 2019-04-02, by everest555.


Data Science with Python - Beginners
.MP4, AVC, 1300 kbps, 1920x1080 | English, AAC, 128 kbps, 2 Ch | 3h 49m | 2.2 GB
Created by EDU CBA


Learn how to use Python to create fascinating data visualizations.
Data visualization is understanding the significance of data by placing it in a visual context. Patterns, trends that might go unnoticed in text-based data can be exposed and recognized easier with data visualization software. It basically involves presentation of data in a pictorial or graphical format. Through this training we are going to learn how to use Python to create fascinating data visualizations.
The training includes the following;
1. Introduction to Data Visualization
2. Development Setup
3. Language Learning Bridge between Python and JS
4. Reading and Writing Data with Python
5. Webdev 101
6. Getting Data off the Web with Python
7. Heavyweight Scraping with Scrapy
8. Descriptionting and Visualization
9. Data Aggregations and Group operations
10. Financial and Economic Data Application
Who this course is for:
Business analysts
Data scientists
Anybody interested in data science and visualization
Software developers or programmers who want to transition into the lucrative data science and machine learning career path will learn a lot from this course.
This course is for you if you like exciting challenges

Download link

Sponsored High Speed Downloads
7267 dl's @ 2060 KB/s
Download Now [Full Version]
8783 dl's @ 2722 KB/s
Download Link 1 - Fast Download
7034 dl's @ 2409 KB/s
Download Mirror - Direct Download

Search More...
Data Science with Python - Beginners

Search free ebooks in!

Related Archive Books

Archive Books related to "Data Science with Python - Beginners":

Download this book

No active download links here?
Please check the description for download links if any or do a search to find alternative books.

Related Books


No comments for "Data Science with Python - Beginners".

    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.
    Back to Top