In this third course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will explore techniques to work effectively with Python and SQL. We will go through useful data structures in Python scripting and connect to databases like MySQL. Additionally, you will learn how to use a modern text editor to connect and run SQL queries against a real database, performing operations to load and extract data. Finally, you will use extracted data from websites using scraping techniques. These skills will allow you to work effectively when data is not readily available, or when spatial queries are required to extract useful information from databases.
Scripting with Python and SQL for Data Engineering
Scripting with Python and SQL for Data Engineering
This course is part of Python, Bash and SQL Essentials for Data Engineering Specialization
Instructors: Alfredo Deza
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4.4
(94 reviews)
Intermediate level
Recommended experience
23 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Extract data from different sources and map it to Python data structures.
Design Scripts to connect and query a SQL database from within Python.
Apply scraping techniques to read and extract data from a website.
Skills you'll gain
Details to know
Shareable certificate
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Assessments
5 assignments
Taught in English
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This course is part of the Python, Bash and SQL Essentials for Data Engineering Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
In this module, you will learn how to effectively use Python’s data structures to load, persist, and iterate over data. You will apply these data structures to solve different problems when working with popular data formats like JSON.
What's included
19 videos8 readings2 assignments1 discussion prompt2 ungraded labs
In this module, you will learn how to use Python scripting techniques to work with SQL. You will create a database, store data, and query that data with SQL from Python.
What's included
15 videos7 readings1 assignment3 ungraded labs
In this module, you will learn how to efficiently extract data from the web. You will learn how to use a scraping library to read data from websites and identify and extract specific values from it.
What's included
15 videos7 readings1 assignment2 ungraded labs
In this module, you will learn how to use a modern development environment and editor to connect to a MySQL database server, execute queries and perform database operations.
What's included
18 videos7 readings1 assignment5 ungraded labs
Offered by
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University of Michigan
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4.4
94 reviews
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Showing 3 of 94
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5
Reviewed on Aug 28, 2022
This provides the essentials of data engineering and analysis.
PB
4
Reviewed on May 25, 2023
Training is clear and interactive and labs are good
CQ
5
Reviewed on Oct 20, 2022
Covered great Python. data engineering techniques as well as using SQLite and MySQL in VSCode
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