Scripting with Python and SQL for Data Engineering

Go to Course: https://www.coursera.org/learn/scripting-with-python-sql-for-data-engineering-duke

Introduction

### Course Review: Scripting with Python and SQL for Data Engineering In the burgeoning field of data engineering, the ability to proficiently manipulate data using programming languages and databases is crucial. Coursera’s "Scripting with Python and SQL for Data Engineering" provides an impressive platform for learners aiming to enhance their technical toolkit in these essential areas. As the third course in the "Python, Bash and SQL Essentials for Data Engineering Specialization," this course delves into practical applications of Python and SQL for data handling tasks. #### Overview The course offers an engaging curriculum that covers key techniques needed to work effectively with Python and SQL. It teaches participants how to leverage Python’s powerful data structures and connect to databases like MySQL for robust data management. Additionally, students will develop web scraping skills to extract valuable data from online sources, making this course comprehensive for aspiring data engineers. #### Curriculum Breakdown **1. Working with Data in Python** In the first week, the focus is on understanding Python’s diverse data structures—such as lists, dictionaries, and sets. This section enables learners to load, persist, and iterate over data effectively. Notably, there’s a significant emphasis on handling data formats such as JSON, a skill indispensable for data engineers who often work with web APIs and data interchange. **2. Python Scripting and SQL** The second week introduces Python scripting in conjunction with SQL. Here, learners create a database, store data, and query that data seamlessly using Python. This section is particularly beneficial, as it not only teaches SQL commands but also shows how to embed them into Python scripts, enhancing workflow efficiency. **3. Web Scraping using Python** The third week dives into the exciting domain of web scraping. Learners discover how to harness Python scraping libraries to extract and manipulate data from websites. This module is fantastic for those looking to tap into dynamic datasets that may not be available through traditional means, providing a critical skill for accessing real-time data. **4. Working with MySQL** Finally, the course covers the operation of a modern development environment to connect to a MySQL database server. Participants will execute queries and perform various database operations, equipping them with the practical skills needed to manage databases effectively—a fundamental requirement in the data engineering domain. #### Strengths of the Course - **Interactive Learning**: Coursera's platform promotes interactive learning through video lectures, quizzes, and peer interactions. - **Hands-On Experience**: The course emphasizes practical tasks and real-world applications, preparing learners for actual data engineering challenges. - **Comprehensive Coverage**: With a structured syllabus that builds on previous concepts, the course offers a thorough grounding in both Python and SQL, making it suitable for beginners and intermediate learners alike. #### Recommendations I highly recommend "Scripting with Python and SQL for Data Engineering" for anyone looking to advance their skills in data manipulation and management. Whether you are a seasoned programmer wanting to pivot toward data engineering or a beginner eager to enter the field, this course will provide you with a solid foundation and practical experience. As data continues to be a cornerstone of decision-making across industries, equipping yourself with the skills provided in this course could significantly enhance your career prospects. With its focus on current technologies and relevant techniques, enrolling in this course would be a strategic step in your professional development. Embark on your data engineering journey and unlock the power of Python and SQL with this insightful course on Coursera!

Syllabus

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.

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.

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.

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.