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Master Data Science

Unlock the potential of Data Science, a field that's revolutionizing industries. Learn why Data Science is essential, its rapid job growth, and how it can transform your career. We offer numerous exercises and projects to help you master this amazing technology.

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Popular exercises

3hrs average

Pandas tutorial exercises

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.

Data Science learning materials

Pandas Exercises And Solutions

2hrs average

Probability Exercises Project in Python

Usa tus habilidades con numpy, pandas y matplotlib para practicar un poco sobre probabilidades.

2hrs average

Web Scraping Tesla revenues with Python and Beautiful Soup

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

3hrs average

Real Estate Data Cleanup

Prepare a real dataset to later train a machine learning model

2hrs average

Algorithm Optimization Project for Machine Learning

Learn the basics on how to optimize or better build algorithms in Python for Machine Learning

2hrs average

Build a linear regression model using pandas and python

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.

2hrs average

Hypothesis Testing Exercises in Python

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

2hrs average

Descriptive Statistics Exercises Project with Python

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

2hrs average

Connecting to a SQL Database Project Tutorial

Create a SQL database using the PostgreSQL engine and using a professional python project structure that includes PIP and environment variables.