• 기초적인숙련도 수준
• 4.1+
• 18.3K

Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.

• 기초적인숙련도 수준
• 4.2+
• 17.6K

Use your data manipulation skills to perform exploratory data analysis on a dataset around student mental health.

• 기초적인숙련도 수준
• 4.3+
• 14.6K

Get up to speed with notebook based projects. This will prepare you for your first Python, SQL & R projects.

• 기초적인숙련도 수준
• 4.2+
• 4.5K

Use data manipulation and summary statistics to analyze test scores across New York Citys public schools!

• 기초적인숙련도 수준
• 4.0+
• 3.3K

Use OpenAIs powerful API to answer questions about tourist attractions in Paris.

• 중급숙련도 수준
• 4.3+
• 3K

Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.

• 중급숙련도 수준
• 4.2+
• 2.9K

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

• 기초적인숙련도 수준
• 4.2+
• 2.4K

Use SQL to figure out the golden era of video games!

• 고급의숙련도 수준
• 4.0+
• 2.2K

Derive insights about motorcycle part sales over time across multiple warehouse sites!

• 기초적인숙련도 수준
• 4.1+
• 2.2K

Explore a dataset containing a centurys worth of Nobel Laureates. Who won? Who got snubbed?

• 중급숙련도 수준
• 4.2+
• 2.1K

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

• 기초적인숙련도 수준
• 4.3+
• 2K

Write SQL queries to answer interesting questions about international debt using data from The World Bank.

• 기초적인숙련도 수준
• 4.0+
• 1.9K

Reanalyze the data behind one of the most important discoveries of modern medicine: handwashing.

• 기초적인숙련도 수준
• 4.1+
• 1.9K

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

• 중급숙련도 수준
• 4.2+
• 1.6K

Use SQL to explore and analyze GoodThought NGOs database, uncovering key insights from over 13 years of transformative projects.

• 기초적인숙련도 수준
• 4.0+
• 1.6K

Use SQL to analyze a database containing information about Transport for London journeys over 12 years!

• 기초적인숙련도 수준
• 3.9+
• 1.4K

Explore local and global fitness trends to identify product niches. Investigate online interest in gyms, workouts, digital services, and web apps.

• 중급숙련도 수준
• 3.8+
• 1.3K

Test your Data engineering skills by creating a data pipeline to analyze E-commerce business of Walmart!

• 중급숙련도 수준
• 4.4+
• 1.3K

Arctic Penguin Exploration: Unraveling Clusters in the Icy Domain with K-means Clustering

• 중급숙련도 수준
• 4.2+
• 1.3K

Apply your data importing, cleaning and manipulation skills to explore New York City Airbnb data.

• 기초적인숙련도 수준
• 4.3+
• 1.2K

Use your SQL skills to explore a dataset about product carbon emissions.

• 기초적인숙련도 수준
• 4.2+
• 1.2K

Analyze the popularity of programming languages over time based on Stack Overflow data.

• 중급숙련도 수준
• 4.3+
• 1.1K

Extract structured data from unstructured natural language in medical transcriptions using the OpenAI API.

• 중급숙련도 수준
• 4.1+
• 1.1K

Perform a hypothesis test to determine if more goals are scored in womens soccer matches than mens!

• 중급숙련도 수준
• 3.8+
• 987

Implement retrieval augmented generation (RAG) with LangChain to create a chatbot for answering questions about technical documentation.

• 중급숙련도 수준
• 4.1+
• 973

Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!

• 기초적인숙련도 수준
• 4.3+
• 926

Analyze data about electronic vehicle charging behavior to better use shared charging stations.

• 중급숙련도 수준
• 4.1+
• 904

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

• 기초적인숙련도 수준
• 4.0+
• 899

Dive into sleep data and gain insights about factors that impact sleep quality

• 중급숙련도 수준
• 4.0+
• 883

Analyze clothing reviews on an e-commerce platform to explore different topics and similarities among them.