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Data Analytics Using Python: Data Wrangling and Ingestion

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. Deepen your understanding of Python functions 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.


What you’ll learn

Through this learning resource you will gain confidence with the skills required by companies today. The most in demand technique in the learning opportunity that is often requested by organizations is Data Analysis. The most relevant tool is SQL. You will also hear about Programming Skills, a trait frequently included in job advertisements.

Who will benefit?

Mapping the description from this learning opportunity with nearly 10,000 data-related job advertisements, we find that those interested in Data Scientist roles would benefit the most.