Ementorhub

What you'll learn

You’ll work with real-world data as it exists in practice: messy, unstructured, and spread across sources.

You’ll learn to extract data from websites, APIs, and databases, and clean it using both Python and SQL, an essential step in any analysis pipeline.

Skills you'll gain

Pandas (Python Package)

Data Import/Export

Data Cleansing

Application Programming Interface (API)

SQL

Data Validation

Data Quality

Data Transformation

Query Languages

JSON

Authentications

Real Time Data

Data Integration

Data Processing

Relational Databases

Web Scraping

Unstructured Data

There are 4 modules in this course

You’ll start by extracting data from webpages using tools like Pandas and Beautiful Soup, while also learning how to handle unstructured text and apply ethical scraping practices. Next, you’ll access real-time data through APIs, parse JSON files, and clean numerical data using techniques like normalization and binning. You’ll also learn how to manage authentication with API keys and store them securely. Finally, you’ll work with databases: Querying and joining tables using SQL, validating results, and understanding when to use SQL versus Python for different preprocessing tasks. By the end of the course, you’ll be able to turn raw, real-world data into reliable, analysis-ready inputs—a core skill for any data professional.

APIs & numerical cleaning

Databases

Preprocessing, validation, and joins with SQL