Projekt

• GrundlagenSchwierigkeitsgrad
• 4.1+
• 924

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

Projekt

• MittelSchwierigkeitsgrad
• 4.0+
• 885

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

Projekt

• MittelSchwierigkeitsgrad
• 4.1+
• 830

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

Projekt

• MittelSchwierigkeitsgrad
• 4.4+
• 810

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

Projekt

• MittelSchwierigkeitsgrad
• 4.0+
• 805

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

Projekt

• MittelSchwierigkeitsgrad
• 4.4+
• 798

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

Projekt

• ExperteSchwierigkeitsgrad
• 3.7+
• 789

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

Projekt

• GrundlagenSchwierigkeitsgrad
• 4.1+
• 769

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

Projekt

• MittelSchwierigkeitsgrad
• 3.9+
• 767

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

Projekt

• MittelSchwierigkeitsgrad
• 4.1+
• 713

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

Projekt

• ExperteSchwierigkeitsgrad
• 4.1+
• 645

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

Projekt

• MittelSchwierigkeitsgrad
• 4.5+
• 599

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

Projekt

• MittelSchwierigkeitsgrad
• 4.1+
• 568

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

Projekt

• GrundlagenSchwierigkeitsgrad
• 4.2+
• 560

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

Projekt

• MittelSchwierigkeitsgrad
• 4.2+
• 558

Manipulate date and time using Python

Projekt

• GrundlagenSchwierigkeitsgrad
• 4.2+
• 536

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

Projekt

• GrundlagenSchwierigkeitsgrad
• 3.9+
• 526

Analyze UEFA Champions League Soccer Games using Snowflake SQL.

Projekt

• MittelSchwierigkeitsgrad
• 4.0+
• 511

Automate e-commerce processes with image classification.

Projekt

• GrundlagenSchwierigkeitsgrad
• 3.7+
• 465

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

Projekt

• ExperteSchwierigkeitsgrad
• 3.6+
• 455

Develop an inventory management system for a retail business using OOP in Python.

Projekt

• MittelSchwierigkeitsgrad
• 4.5+
• 449

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

Projekt

• MittelSchwierigkeitsgrad
• 3.7+
• 448

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

Projekt

• MittelSchwierigkeitsgrad
• 4.4+
• 426

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

Projekt

• GrundlagenSchwierigkeitsgrad
• 4.0+
• 408

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

Projekt

• ExperteSchwierigkeitsgrad
• 4.1+
• 398

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

Projekt

• ExperteSchwierigkeitsgrad
• 4.5+
• 388

Perform a machine learning experiment to find the best model that predicts the temperature in London!

Projekt

• ExperteSchwierigkeitsgrad
• 4.0+
• 373

Explore transportation time series data analysis to uncover patterns and forecast travel costs.

Projekt

• MittelSchwierigkeitsgrad
• 4.4+
• 370

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.

Projekt

• MittelSchwierigkeitsgrad
• 4.1+
• 370

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

Projekt

• MittelSchwierigkeitsgrad
• 4.1+
• 364

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