• IntermedioLivello di competenza
• 4.3+
• 24.293 revisioni

Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.

• BasicLivello di competenza
• 4.2+
• 13.524 revisioni

Define functions to catch errors when new users register for an app!

• IntermedioLivello di competenza
• 4.4+
• 13.372 revisioni

Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.

• AvanzatoLivello di competenza
• 4.4+
• 6393 revisioni

Use your SQL skills to find out how many companies reached a valuation of over $1 billion across different industries between 2019 and 2021!

• IntermedioLivello di competenza
• 4.2+
• 5633 revisioni

Review a data analysis workflow for adherence to Python standards and best-practices.

• IntermedioLivello di competenza
• 4.3+
• 4248 revisioni

Manipulate date and time using Python

• BasicLivello di competenza
• 4.3+
• 2750 revisioni

Develop a new app feature with your Python skills to calculate calories and nutrition values from user input.

• AvanzatoLivello di competenza
• 4.0+
• 1662 revisioni

Develop an inventory management system for a retail business using OOP in Python.

• BasicLivello di competenza
• 4.4+
• 2252 revisioni

Create custom Python functions to validate user input!

• BasicLivello di competenza
• 4.2+
• 1320 revisioni

Sharpen your debugging skills to enhance sales data accuracy.

• IntermedioLivello di competenza
• 4.1+
• 1192 revisioni

Use web scraping and NLP to find the most frequent words in classic literature: Herman Melvilles novel, Moby Dick.

• IntermedioLivello di competenza
• 4.2+
• 1274 revisioni

Query the VatComply API to gather exchange rate information and incorporate into a sales orders dataset!

• AvanzatoLivello di competenza
• 4.1+
• 286 revisioni

Develop a Wedding management system called Happea(Happily Ever After) to manage wedding invitations and the RSVP of Guests.

• IntermedioLivello di competenza
• 4.3+
• 476 revisioni

Analyze grocery store data to identify shopping patterns and preferences.