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Python and SQL for Data Engineering

Learn essential data engineering skills using Python and SQL to manipulate, analyze, and automate data processing tasks in this comprehensive course.

Learn essential data engineering skills using Python and SQL to manipulate, analyze, and automate data processing tasks in this comprehensive course.

Master data manipulation techniques using Python and SQL in this comprehensive data engineering course. You'll learn to leverage Python's powerful data structures, create automated scripts for data processing, and work with both SQLite and MySQL databases. The course covers essential web scraping techniques, database management, and practical applications in VSCode. Through hands-on projects and real-world scenarios, you'll develop the skills to efficiently extract, transform, and load data while building a strong foundation in modern data engineering practices.

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Instructors:

English

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Python and SQL for Data Engineering

This course includes

4 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

38,999

Audit For Free

What you'll learn

  • Develop proficiency in manipulating data using Python's built-in data structures

  • Create automated Python scripts for efficient data processing tasks

  • Master SQLite database operations including creation, connection, and querying

  • Implement web scraping techniques to extract and store data from websites

  • Gain practical experience with MySQL database operations in VSCode

  • Learn to import and export data across different database systems

Skills you'll gain

Python
SQL
Data Engineering
Web Scraping
Database Management
Data Structures
SQLite
MySQL
Data Manipulation
ETL

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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There are 4 modules in this course

In this comprehensive course, students will master essential data engineering skills using Python and SQL. The curriculum covers fundamental data structures in Python, creating automated scripts for data processing, and working with various database systems including SQLite and MySQL. Students will learn web scraping techniques to extract data from websites and understand how to persist this data in different formats. The course emphasizes practical skills through hands-on exercises in VSCode, teaching students to execute queries, manage databases, and implement efficient data processing workflows. Special attention is given to real-world applications and best practices in data engineering.

Working with Data in Python

Module 1

Python Scripting and SQL

Module 2

Web Scraping using Python

Module 3

Working with MySQL

Module 4

Fee Structure

Instructor

Alfredo Deza
Alfredo Deza

20 Courses

A Technology Educator and Former Olympic Athlete Pioneering AI Innovation

Alfredo Deza embodies a unique combination of athletic excellence and technological expertise, transitioning from a distinguished career as Peru's first World Junior Champion in high jump and 2004 Olympian to becoming a leading voice in technology education and development. Currently serving as a Principal Cloud Advocate at Microsoft and Adjunct Assistant Professor at Duke University's Pratt School of Engineering, Deza has built an impressive career spanning nearly two decades in software engineering and education. His academic contributions extend through guest lectures at prestigious institutions including Oxford University, Georgia Tech, and Carnegie Mellon University, where he shares expertise in machine learning, cloud computing, and programming languages. As an accomplished author, he has co-authored several influential books with O'Reilly Media, including "Practical MLOps" and "Python for DevOps," while developing comprehensive courses on Coursera covering topics from large language models to Rust programming. His teaching portfolio at Duke includes graduate-level courses in machine learning operations and Python programming, reflecting his commitment to making complex technical concepts accessible. Deza's expertise encompasses a broad spectrum of technologies, including Azure, MLOps, DevOps, Python, Rust, and Databricks, which he leverages to bridge the gap between academic theory and industry practice. His unique perspective, shaped by his background as an Olympic athlete, influences his approach to teaching and technology, emphasizing the importance of continuous learning and knowledge sharing in the rapidly evolving field of artificial intelligence and cloud computing.

Python and SQL for Data Engineering

This course includes

4 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

38,999

Audit For Free

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.