• 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.

• 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.

• 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?

• 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.

• 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
• 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
• 4.2+
• 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
• 4.1+
• 973

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

• 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.

• 고급의숙련도 수준
• 4.1+
• 730

Identify issues in a manufacturing process using SQL window functions and subqueries

• 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.

• 중급숙련도 수준
• 4.1+
• 641

Use joining techniques to discover the oldest businesses in the world.

• 중급숙련도 수준
• 4.2+
• 554

Enhance your SQL Skills with hands-on data cleaning in PostgreSQL: perform analyses while working with incorrect data types and missing values.

• 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.

• 중급숙련도 수준
• 4.1+
• 457

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

• 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!

• 중급숙련도 수준
• 4.5+
• 427

Perform hypothesis tests to determine if the adverse effects of a pharmaceutical drug are significant!

• 중급숙련도 수준
• 2.9+
• 378

Examine flight delays & cancellations to uncover insights.

• 중급숙련도 수준
• 4.3+
• 354

Building an image processing pipeline for data augmentation.

• 중급숙련도 수준
• 3.8+
• 354

Chart electric vehicle charging trends to inform strategic planning.

• 중급숙련도 수준
• 3.6+
• 317

Analyze product data for an online sports retail company to optimize revenue.

• 중급숙련도 수준
• 3.6+
• 296

Build models predicting customer churn for Indian telecom customers.