• Orta SeviyeBeceri Seviyesi
• 4.0+
• 783

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

• Orta SeviyeBeceri Seviyesi
• 3.9+
• 753

Automate e-commerce processes with image classification.

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 740

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

• TemelBeceri Seviyesi
• 4.1+
• 722

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

• İleri SeviyeBeceri Seviyesi
• 4.2+
• 704

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

• İleri SeviyeBeceri Seviyesi
• 3.6+
• 686

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

• Orta SeviyeBeceri Seviyesi
• 3.8+
• 676

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

• İleri SeviyeBeceri Seviyesi
• 4.1+
• 646

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 628

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

• TemelBeceri Seviyesi
• 4.0+
• 618

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

• Orta SeviyeBeceri Seviyesi
• 4.1+
• 578

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 576

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

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 549

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

• Orta SeviyeBeceri Seviyesi
• 4.1+
• 525

Building an image processing pipeline for data augmentation.

• Orta SeviyeBeceri Seviyesi
• 4.1+
• 486

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

• Orta SeviyeBeceri Seviyesi
• 4.0+
• 479

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

• TemelBeceri Seviyesi
• 4.1+
• 471

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

• TemelBeceri Seviyesi
• 4.1+
• 449

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

• Orta SeviyeBeceri Seviyesi
• 4.1+
• 445

Manipulate date and time using Python

• TemelBeceri Seviyesi
• 3.9+
• 422

Analyze UEFA Champions League Soccer Games using Snowflake SQL.

• Orta SeviyeBeceri Seviyesi
• 4.1+
• 396

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

• Orta SeviyeBeceri Seviyesi
• 3.8+
• 380

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

• Orta SeviyeBeceri Seviyesi
• 4.3+
• 379

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

• İleri SeviyeBeceri Seviyesi
• 4.2+
• 364

Use PySpark to build an e-commerce forecasting model!

• TemelBeceri Seviyesi
• 3.6+
• 360

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

• Orta SeviyeBeceri Seviyesi
• 3.5+
• 359

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

• İleri SeviyeBeceri Seviyesi
• 4.1+
• 350

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

• TemelBeceri Seviyesi
• 4.3+
• 349

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

• TemelBeceri Seviyesi
• 4.0+
• 343

Sharpen your debugging skills to enhance sales data accuracy.

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 342

Use logistic regression to predict whether people will make a claim on their car insurance!