• 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.

• 기초적인숙련도 수준
• 4.2+
• 2.4K

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

• 기초적인숙련도 수준
• 4.1+
• 2.2K

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

• 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!

• 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.

• 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.

• 기초적인숙련도 수준
• 4.3+
• 926

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

• 기초적인숙련도 수준
• 4.0+
• 899

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

• 기초적인숙련도 수준
• 4.2+
• 838

Use categorization and ranking techniques to explore 101 years of American baby names.

• 기초적인숙련도 수준
• 4.1+
• 720

Conduct a supply chain analysis of the ingredients used in an avocado toast to gain an understanding of the complex supply chain involved.

• 기초적인숙련도 수준
• 4.2+
• 539

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

• 기초적인숙련도 수준
• 4.3+
• 494

Use data manipulation and visualization to explore a television broadcast dataset from the Super Bowl.

• 기초적인숙련도 수준
• 4.0+
• 482

Analyze UEFA Champions League Soccer Games using Snowflake SQL.

• 기초적인숙련도 수준
• 3.7+
• 435

Sometimes, things that once worked perfectly suddenly hit a snag. Practice your knowledge of DataFrames to find the problem and fix it!

• 기초적인숙련도 수준
• 4.2+
• 396

Create custom Python functions to validate user input!

• 기초적인숙련도 수준
• 4.0+
• 374

Sharpen your debugging skills to enhance sales data accuracy.

• 기초적인숙련도 수준
• 4.2+
• 354

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

• 기초적인숙련도 수준
• 4.2+
• 287

Use a variety of data manipulation techniques to explore different aspects of Legos history.

• 기초적인숙련도 수준
• 3.9+
• 287

Exploring flight data from NYC using advanced data joining techniques in R.

• 기초적인숙련도 수준
• 4.4+
• 286

Build interactive stock charts with Plotly and uncover financial trends in the fast food industry.

• 기초적인숙련도 수준
• 4.3+
• 285

Use OpenAIs powerful API to enrich and summarize stock market data.

• 기초적인숙련도 수준
• 4.1+
• 275

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