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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.



Career Relevance by Data Role

The techniques and tools covered in Data Analytics Using Python: Data Wrangling and Ingestion are most similar to the requirements found in Data Analyst job advertisements.


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