Self-paced

Explore our extensive collection of courses designed to help you master various subjects and skills. Whether you're a beginner or an advanced learner, there's something here for everyone.

Learn live

Join us for our free workshops, webinars, and other events to learn more about our programs and get started on your journey to becoming a developer.

Learning library

For all the self-taught geeks out there, here is our content library with most of the learning materials we have produced throughout the years.

It makes sense to start learning by reading and watching videos about fundamentals and how things work.

Search from all Lessons

Practice Pandas

Lessons, exercises, and projects about Pandas

Browse our list of curated database of projects, exercises, and lessons to learn Pandas

3hrs average

This project involves cleaning and analyzing a real estate dataset using Pandas, focusing on practical data science skills. After completing this project, students will be capable of handling, processing, and visualizing real-world data efficiently.

Discover how third-party libraries in Python, like Pandas and NumPy, can enhance your projects. Learn to install and use them effectively!

3hrs average

Prepare a real dataset to later train a machine learning model

2hrs average

Use your NumPy, Pandas and Matplotlib skills to practice a little about hypothesis testing with Annova and others

Unlock the world of chance with our "Introduction to Probability." Learn essential concepts and examples to master probabilities. Start your journey now!

2hrs average

Test your skills with numpy, pandas, and matplotlib while exploring key probability concepts through data analysis and visualization of distributions.

2hrs average

Use python and the beautiful soup library to download, scrape, clean and visualize the revenue information from Tesla

3hrs average

Master Pandas, the most popular Python library for machine learning, with our pandas tutorial exercises. Learn to create DataFrames, clean datasets, and more, with exercises developed by experts.

Unlock the power of data with our "Intro to Pandas" guide! Learn to manipulate and analyze data using Python's essential library. Start mastering Pandas today!

2hrs average

Practice your calculus and algebra skills using Python with NumPy, Pandas, and Matplotlib. Work through real-life exercises like calculating speed, acceleration, and cost optimization. Build functions, graphs, and tables while learning key concepts in calculus and linear algebra, such as derivatives and matrix operations.

Learn how to plot distributions and calculate probabilities using bar graphs. Master essential data visualization skills to enhance your analytical prowess!

2hrs average

Use your NumPy, Pandas, and Matplotlib skills to practice probability distributions. Complete the exercises in Python, follow the instructions to start, and submit your repository once finished. For additional help, refer to the provided solutions after attempting the problems.

2hrs average

Learn how to build a linear regression model from scratch: understand a new dataset, perform exploratory data analysis (EDA), model the data, and optimize your model. Discover how the $R^2$ evolves by adjusting the Lasso model's hyperparameter up to a value of 20.

When building a Data Science and Machine Learning project there are things to be considered, specially if you are looking for a job. Here you find tips to make a project make a cv stand out from the crowd, and a list of sites where you can find useful datasets to kickstart your project.

Learn how Python powers data science with essential concepts and libraries. Discover practical examples to elevate your data skills today!

2hrs average

Use KNN algorithm to build a simple movie recommender system.

Learn how to upload and read various file types in Python, including CSV, Excel, JSON, and TXT. Master file handling today!

Discover the power of Matplotlib! Learn to create stunning visualizations with Python's most popular library. Start your data journey today!

2hrs average

Use your NumPy, Pandas, and Matplotlib skills to practice a little about descriptive statistics