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This auction has been won.
Leading
MarcellBothma1414 1 × R56.00
30 Sep 11:27
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braddng96 1 × R1.00
30 Sep 09:50

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Data Science Bundle Data Science Bundle Data Science Bundle Data Science Bundle Data Science Bundle Data Science Bundle
Data Science Bundle Data Science Bundle Data Science Bundle Data Science Bundle
Data Science Bundle
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Data Science Bundle

New 1 was available
R55.00 minimum increment
R56.00
Shipping
R65.00 Standard shipping applies to orders under R100.00, in most areas in South Africa. R35.00 Standard shipping applies to orders over R100.00. Some areas may attract a surcharge surcharge. This will be calculated at checkout if applicable.
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The seller has indicated that they will usually have this item ready to ship within 12 business days. Shipping time depends on your delivery address. The most accurate delivery time will be calculated at checkout, but in general, the following shipping times apply:
 
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Main centres:  1-3 business days
Regional areas: 3-4 business days
Remote areas: 3-5 business days
Seller
BCD and ME(Blacklisted)
96.96 % Positive ratings
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Product details

Condition
New
Location
South Africa
Platform
Windows
Type
Software & Training
Bob Shop ID
569481074

Please note, you will receive your product via email within 48 hours of payment received,

This is a Digital product, NO physical disc is provided,. thank you

About this Bundle
Learn essential components of data science & analysis development workflow for all your complex programming needs with the Data Science Bundle.

In this collection  youll tackle the most sophisticated problems and use the likes of Python and its extensive libraries to power your way to new levels of data insight, as well as applying data science to successful marketing campaigns.

Youll receive five eBooks featuring a series of quick start guides to get you up and running with user interfaces and open-source tools such as Kibana 7, JupyterLab and PySpark. With Data Science Projects with Python, youll learn techniques to use data to identify the exact problem to be solved, and identify how to select an appropriate algorithm for data extraction.

 

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