Scripting with Python and SQL for Data Engineering (Coursera)

Offered by Duke University,
Scripting with Python and SQL for Data Engineering (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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.
Course 3 of 4 in the Python, Bash and SQL Essentials for Data Engineering Specialization.

What You Will 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.

Syllabus

WEEK 1
Working with Data in Python
This week, 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.

WEEK 2
Python Scripting and SQL
This week, 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.

WEEK 3
Web Scraping using Python
This week, 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.

WEEK 4
Working with MySQL
This week, 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.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Applied Text Mining in Python (Coursera) Coursera
University of Michigan

Applied Text Mining in Python (Coursera)

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

Dec 7th 2026
4 Weeks
Understanding and Applying Text Embeddings (Coursera) Coursera
DeepLearning.AI

Understanding and Applying Text Embeddings (Coursera)

The Vertex AI Text-Embeddings API enhances the process of generating text embeddings. These text embeddings, which are numerical representations of text, play a pivotal role in many tasks involving the identification of similar items, like Google searches, online shopping recommendations, and personalized music suggestions.

Dec 7th 2026
1 Week
Big Data Analysis with Scala and Spark (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Big Data Analysis with Scala and Spark (Coursera)

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout.

Dec 7th 2026
4 Weeks
Introduction to Open Source Application Development (Coursera) Coursera
Illinois Tech

Introduction to Open Source Application Development (Coursera)

This course introduces basic concepts of systems programming using a modern open source language. You will learn to apply basic programming concepts toward solving problems, writing pseudocode, working with and effectively using basic data types, abstract data types, control structures, code modularization and arrays. You will learn to detect errors, work with variables and loops, and discover how functions, methods, and operators work with different data types. You will also be introduced to the object paradigm including classes, inheritance, and polymorphism.

Dec 7th 2026
5-12 Weeks
An Introduction to Interactive Programming in Python (Part 1) (Coursera) Coursera
Rice University

An Introduction to Interactive Programming in Python (Part 1) (Coursera)

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple.

Nov 30th 2026
5-12 Weeks
An Introduction to Interactive Programming in Python (Part 2) (Coursera) Coursera
Rice University

An Introduction to Interactive Programming in Python (Part 2) (Coursera)

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple.

Nov 30th 2026
4 Weeks
Python Data Structures (Coursera) Coursera
University of Michigan

Python Data Structures (Coursera)

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.

Nov 30th 2026
5-12 Weeks
Machine Learning Rapid Prototyping with IBM Watson Studio (Coursera) Coursera
IBM

Machine Learning Rapid Prototyping with IBM Watson Studio (Coursera)

An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. This automation will provide rapid-prototyping of models and allow the Data Scientist to focus their efforts on applying domain knowledge to fine-tune models. This course will take the learner through the creation of an end-to-end automated pipeline built by Watson Studio’s AutoAI experiment tool, explaining the underlying technology at work as developed by IBM Research.

Dec 7th 2026
4 Weeks