• 고급의숙련도 수준
• 4.0+
• 859

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

• 기초적인숙련도 수준
• 4.2+
• 838

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

• 중급숙련도 수준
• 4.4+
• 799

Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!

• 중급숙련도 수준
• 3.9+
• 776

Use SQL to analyze a database containing information about Student performance!

• 중급숙련도 수준
• 4.1+
• 769

Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.

• 고급의숙련도 수준
• 4.1+
• 730

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

• 고급의숙련도 수준
• 3.6+
• 723

Use LLMs to solve diverse language tasks for a car dealership company.

• 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
• 4.3+
• 667

Develop a multi-input model to classify characters from scanned documents.

• 중급숙련도 수준
• 4.1+
• 641

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

• 중급숙련도 수준
• 4.4+
• 639

Build a machine learning model to predict if a credit card application will get approved.

• 중급숙련도 수준
• 3.9+
• 577

Automate e-commerce processes with image classification.

• 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
• 4.2+
• 539

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

• 중급숙련도 수준
• 4.0+
• 504

Solve the Taxi-v3 environment using Q-learning, ensuring efficient AI-driven transportation.

• 중급숙련도 수준
• 4.2+
• 496

Manipulate date and time using Python

• 기초적인숙련도 수준
• 4.3+
• 494

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

• 중급숙련도 수준
• 4.3+
• 484

Use regression and machine learning models to predict daily power consumption based on temporal factors.

• 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.

• 고급의숙련도 수준
• 4.5+
• 456

Use PySpark to build an e-commerce forecasting model!

• 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
• 4.1+
• 434

Develop a system that can detect Cyber Threats in your companys network traffic logs using Deep Learning.

• 중급숙련도 수준
• 4.5+
• 427

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

• 기초적인숙련도 수준
• 4.2+
• 396

Create custom Python functions to validate user input!

• 고급의숙련도 수준
• 4.1+
• 395

Step into a data engineers shoes and master data cleaning with PySpark on an e-commerce orders dataset!

• 중급숙련도 수준
• 4.3+
• 382

Join us at a leading insurance company, where well craft a model to predict customer charges and test it with new client data

• 중급숙련도 수준
• 4.2+
• 379

Ready to analyze and visualize financial ratios? In this project, you will take on real-world challenges like evaluating the profitability and leverage of companies across industries.

• 중급숙련도 수준
• 2.9+
• 378

Examine flight delays & cancellations to uncover insights.

• 고급의숙련도 수준
• 4.5+
• 376

Help the bank monitoring their fraud detection model and figuring out why its not performing as expected.