Enhance your understanding of Python by diving deeper into functions including data wrangling, manipulation and transformation.
This course is made available through the eLearnAfrica and FutureLearn partnership.
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Do you want to expand your data analytics skills and streamline your analysis processes? Having a solid understanding of Python can help to boost your career and make data analysis and manipulation considerably more efficient.
This course builds on the previous two within this Data Analytics Using Python ExpertTrack to give you a better understanding of the possibilities of using Python.
On this course, you’ll familiarise yourself with the data wrangling, manipulation and exploration steps of the CRISP-DM methodology, and perform data ingestion using Python.
You’ll learn how to demonstrate transformation activities in Python to further your data analysis.
You’ll also explore SQL in relation to data analytics, including the fundamentals of databases using SQL to perform various data analysis operations.
By the end of this course, you’ll be better equipped to create database tables using the data definition language and add data records using data manipulation language.
You’ll have also practised how to query the data stored in those database tables, and demonstrate various data processing activities using data query language and data manipulation language.
This course is suitable for:
During the ExpertTrack we’ll be using Jupyter notebook. We recommend you use a computer to access these elements.
Certificate cost may vary. You will be redirected to the host page for cost and payment options.
This university is part of the partnership between eLearnAfrica and FutureLearn.
This institution is available on eLearnAfrica through partnership with FutureLearn.
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Effective Date: September 22, 2016