Courses from 1000+ universities
$7.2 billion in combined revenue since 2020. $8 billion in lost market value. This merger marks the end of an era in online education.
600 Free Google Certifications
Machine Learning
Python
Microsoft Excel
Intelligenza Artificiale
Python for Data Science
Introduction to Philosophy
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Comprehensive tutorial on NumPy: array creation, indexing, mathematics, statistics, and reshaping. Covers basics to advanced topics, with practical examples and problem-solving exercises.
Comprehensive tutorial on regular expressions, covering syntax, character sets, quantifiers, metacharacters, and advanced concepts with practical exercises for hands-on learning.
Comprehensive mock data science interview covering bot detection on social media, featuring behavioral questions, feature selection, model implementation, dataset creation, and technical details.
Create a Python program to scrape, download, and transcribe podcast episodes using web scraping, NLP, and speech-to-text API, enhancing your portfolio with practical data processing skills.
Comprehensive Python tutorial covering NLP fundamentals, techniques, and state-of-the-art models. Includes practical examples using popular libraries and hands-on implementation of advanced concepts.
Explore real-world data analysis using Python Pandas to analyze a Lego dataset, covering CSV file reading, DataFrame filtering, and data aggregation techniques.
Comprehensive guide to solving eight LeetCode coding problems in Python, covering various algorithms and data structures. Ideal for interview preparation and improving problem-solving skills.
Learn to automate Python scripts locally and in the cloud using cronjobs, Windows Task Scheduler, AWS Lambda, and Cloudwatch. Includes practical examples for scheduling email sending and generating analytics reports.
Learn web scraping with Python to create a Disney movie dataset, covering BeautifulSoup, data cleaning, APIs, and various Python libraries for real-world data science tasks.
Learn Python web scraping with Beautiful Soup, covering HTML basics, data extraction techniques, and practical exercises to build real-world skills in parsing and analyzing web content.
Learn to build and train a CNN for image classification using TensorFlow and Keras. Covers data preparation, model improvement, hyperparameter tuning, and practical applications in Python.
Learn to refactor Python code professionally by abstracting similar parts into classes, improving code architecture, and extending functionality for more complex game levels.
Comprehensive tutorial on Python classes covering creation, methods, inheritance, and advanced concepts like operator overloading. Ideal for mastering object-oriented programming fundamentals.
Learn to generate realistic mock sales data using Python libraries like NumPy, Pandas, and Datetime. Create datasets with varied product purchases, timestamps, and addresses for data science practice.
Comprehensive Python machine learning tutorial covering sentiment analysis using scikit-learn, from data preparation to model evaluation and optimization, with practical examples using Amazon reviews.
Get personalized course recommendations, track subjects and courses with reminders, and more.