Master data manipulation using Python and SQL for data engineering. Extract, transform, and load data efficiently to drive insights and decision-making. In this course, part of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will gain the skills to work effectively with data using Python and SQL.
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You will learn to:
- Leverage Python's powerful data structures to load, manipulate, and analyze data
- Create robust Python scripts to automate data processing tasks
- Utilize SQLite to store and retrieve data from within your Python scripts
- Extract data from websites using web scraping techniques and persist it in databases
- Work with MySQL databases using modern tools like VSCode to execute queries and manage data
Whether you are a data engineer, analyst, or aspiring data professional, this course will equip you with the essential skills to efficiently handle data and drive meaningful insights in today's data-driven world.
This course is part of the Data Engineering Foundations Professional Certificate.
What you'll learn
- Manipulate data using Python's built-in data structures
- Create Python scripts to automate data tasks
- Use SQLite to store and query data in Python
- Extract data from websites via web scraping
- Execute MySQL queries and operations in VSCode
- Import and export data in MySQL databases
Syllabus
Here is the course structure formatted with bullets for each module:
Module 1: Working with Data in Python (5 hours)
\- Videos (Total 62 minutes):
\- Welcome to Scripting with Python and SQL for Data Engineering (Preview module)
\- Meet your Course Instructor: Alfredo Deza (0 minutes)
\- Overview of Key Concepts (4 minutes)
\- Introduction to Working with Data in Python (0 minutes)
\- Introduction to Python Data Structures (0 minutes)
\- Using Lists to Save and Retrieve Data in Python (5 minutes)
\- Using Dictionaries to Save and Retrieve Data in Python (7 minutes)
\- Overview of Less Common Data Structures in Python (4 minutes)
\- Recap of Data Structures in Python (1 minute)
\- Introduction to Choosing Data Structures in Python (1 minute)
\- Iterating Over Lists and Dictionaries in Python (7 minutes)
\- Iterating Over Other Data Structures in Python (2 minutes)
\- Storing Data Between Data Structures in Python (6 minutes)
\- Recap of Mapping Data Structures in Python (1 minute)
\- Introduction to Data Sources and Formats in Python (0 minutes)
\- Loading Data from Files and File Paths in Python (6 minutes)
\- Working with JSON in Python (6 minutes)
\- Saving Data from Python to Disk (4 minutes)
\- Recap of Persisting and Loading Data in Python (0 minutes)
\- Readings (Total 80 minutes):
\- Connect with your instructor (10 minutes)
\- Meet your Supporting Instructors: Kennedy Behrman and Noah Gift (10 minutes)
\- Course Structure and Discussion Etiquette (10 minutes)
\- Key Terms (10 minutes)
\- Python Lists and Dictionaries (10 minutes)
\- Key Terms (10 minutes)
\- Key Terms (10 minutes)
\- Build a notebook that reformats data into JSON (10 minutes)
\- Quizzes (Total 60 minutes):
\- Using Data Structures in Python (30 minutes)
\- Working with Data in Python (30 minutes)
\- Discussion Prompt (Total 10 minutes):
\- Meet and Greet (optional) (10 minutes)
\- Ungraded Labs (Total 120 minutes):
\- Looping Over Lists and Dictionaries in Python (60 minutes)
\- Loading and Saving JSON Files (60 minutes)
Module 2: Python Scripting and SQL (5 hours)
\- Videos (Total 56 minutes):
\- Introduction to Python Scripting and SQL (Preview module)
\- Introduction to Scripting in Python (0 minutes)
\- Creating a Script as a Module in Python (5 minutes)
\- Traversing the File System with a Script in Python (7 minutes)
\- Recap of Python Scripting Basics (0 minutes)
\- Introduction to Embedded Databases (0 minutes)
\- What is SQLite? (2 minutes)
\- Creating and Connecting to a SQLite Database in Python (5 minutes)
\- Saving and Querying from a SQLite Database in Python (10 minutes)
\- Recap of SQLite and Python (1 minute)
\- Introduction to Querying with SQL in Python (1 minute)
\- Basic SQL Commands in Python (6 minutes)
\- Extracting Distinct Data using SQL in Python (7 minutes)
\- Searching with SQL in Python (5 minutes)
\- Recap of Querying with SQL in Python (1 minute)
\- Readings (Total 70 minutes):
\- Key Terms (10 minutes)
\- Minimal Python, Chapter 2: Learn to Store Data (10 minutes)
\- Key Terms (10 minutes)
\- Example GitHub Repository (10 minutes)
\- Key Terms (10 minutes)
\- Example GitHub Repository (10 minutes)
\- Create a Reporting Script for File Sizes (10 minutes)
\- Quiz (Total 30 minutes):
\- Python Scripting and SQL (30 minutes)
\- Ungraded Labs (Total 180 minutes):
\- Build a Script to Find Large Files (60 minutes)
\- Create a SQLite Database and Store Data (60 minutes)
\- Querying a SQLite Database (60 minutes)
Module 3: Web Scraping using Python (4 hours)
\- Videos (Total 64 minutes):
\- Introduction to Web Scraping using Python (Preview module)
\- Introduction to Extracting Data from Unstructured HTML (1 minute)
\- Challenges with Web Data (3 minutes)
\- Parsing HTML with HTMLParser in Python (5 minutes)
\- Recap of Web Scraping Techniques in Python (0 minutes)
\- Introduction to Scrapy and XPath in Python (1 minute)
\- Creating a Web Scraping Project with Scrapy in Python (6 minutes)
\- Parsing Data with XPath and Scrapy Shell (11 minutes)
\- Using Scrapy Spider for Web Scraping (5 minutes)
\- Recap of Scrapy and XPath in Python (0 minutes)
\- Overview of Challenges with Web Scraping (2 minutes)
\- Scraping Locally (8 minutes)
\- Persisting Data in CSV and JSON Formats (9 minutes)
\- Persisting Data to a SQLite Database (6 minutes)
\- Recap of Persistence and Efficacy with Web Scraping (1 minute)
\- Readings (Total 70 minutes):
\- Key Terms (10 minutes)
\- Parsing Techniques with HTMLParser (10 minutes)
\- Key Terms (10 minutes)
\- Codespaces Lab: Parse HTML with Scrapy and XPath (10 minutes)
\- Key Terms (10 minutes)
\- Efficient Scraping Techniques (10 minutes)
\- Build a Web Scraping Tool (10 minutes)
\- Quiz (Total 30 minutes):
\- Web Scraping using Python (30 minutes)
\- Ungraded Labs (Total 120 minutes):
\- Parse HTML with HTMLParser (60 minutes)
\- Parse HTML and Persist it to a SQLite Database (60 minutes)
Module 4: Working with MySQL (7 hours)
\- Videos (Total 69 minutes):
\- Introduction to Working with MySQL (Preview module)
\- Introduction to VSCode with MySQL (1 minute)
\- Connecting to a MySQL Server (8 minutes)
\- Recap of VSCode with MySQL (1 minute)
\- Challenges of Running MySQL Queries (1 minute)
\- Using VSCode to Execute MySQL Queries (6 minutes)
\- Recap of Running MySQL Queries (1 minute)
\- Challenges with Importing to Databases (1 minute)
\- Importing CSV Data into MySQL (6 minutes)
\- Exporting Data from MySQL (6 minutes)
\- Recap of Importing and Exporting Data in MySQL (1 minute)
\- MySQL Hacking Overview (2 minutes)
\- MySQL from Terminal (3 minutes)
\- Archive and Drop Database (5 minutes)
\- Import external database Sakila (7 minutes)
\- Modify database Sakila (4 minutes)
\- Bash pipelines with MySQL (5 minutes)
\- MySQL to Python Standard Library Web Server (4 minutes)
\- Readings (Total 70 minutes):
\- Key terms (10 minutes)
\- Key terms (10 minutes)
\- Working with VSCode and MySQL (10 minutes)
\- Key Terms (10 minutes)
\- Lesson Reflection (10 minutes)
\- Loading and Exporting Data using MySQL (10 minutes)
\- Next Steps (10 minutes)
\- Quiz (Total 30 minutes):
\- Working with MySQL (30 minutes)
\- Ungraded Labs (Total 300 minutes):
\- Connect to a Running MySQL Server (60 minutes)
\- Running Queries Repository (60 minutes)
\- Export and Import Data in MySQL (60 minutes)
\- Linux Hacking with MySQL (60 minutes)
\- MySQL Sandbox (60 minutes)
