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Online Course -Python Data Science
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Online Course -Python Data Science

Digital product
2 were available / new
R40.00 minimum increment
R81.00
Shipping
This is a digital product (eg. voucher, product license, service, etc.) and does not require shipping. The seller will be in contact to deliver this product to you electronically.
The seller has indicated that they will usually have this item ready to ship within 2 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:
 
Standard Delivery
Main centres:  1-3 business days
Regional areas: 3-4 business days
Remote areas: 3-5 business days

Product details

Condition
New
Location
South Africa
Customer ratings:
Bob Shop ID
598284793

Welcome to Bracoldan inc.. 

All courses/eBooks are sent digitally via email. Once payment has been received your order will be sent within 48 Hours.

Course Overview-

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. 


This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python.

FREE eCertificate on completion.

Please note- Ask questions before you bid, If you are needing more Info. Thank you

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Great service and communication.
29 Oct 2023