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Projekte

Lösen Sie reale Probleme

In Projekten kannst du deine Fähigkeiten mit Tools wie Data Notebooks anwenden und eine Datenanalyse von Anfang bis Ende durchführen.

  • Selbstständig programmieren lernen
  • Erstelle dein eigenes Portfolio
  • Sammle Erfahrungen aus der Praxis

Projekte durchsuchen

67 Projekte

Projekt

Investigating Netflix Movies

  • BeginnerSkill Level
  • 4.1+
  • 25.5K

Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.

Datenmanipulation, Datenvisualisierung

1-2 hours

Projekt

Exploring NYC Public School Test Result Scores

  • BeginnerSkill Level
  • 4.2+
  • 7.3K

Use data manipulation and summary statistics to analyze test scores across New York Citys public schools!

Explorative Datenanalyse

Less than 1 hour

Projekt

Analyzing Crime in Los Angeles

  • IntermediateSkill Level
  • 4.3+
  • 4.7K

Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.

Datenmanipulation, Explorative Datenanalyse

Less than 1 hour

Projekt

Predictive Modeling for Agriculture

  • IntermediateSkill Level
  • 4.2+
  • 3.9K

Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.

Programmierung mit Python, Machine Learning, Softwareentwicklung

1-2 hours

Projekt

Visualizing the History of Nobel Prize Winners

  • BeginnerSkill Level
  • 4.0+
  • 3.8K

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

Datenmanipulation, Datenvisualisierung

1-2 hours

Projekt

Exploring Airbnb Market Trends

  • IntermediateSkill Level
  • 4.3+
  • 2.5K

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

Programmierung mit Python, Datenmanipulation

1-2 hours

Projekt

Customer Analytics: Preparing Data for Modeling

  • IntermediateSkill Level
  • 4.0+
  • 2.3K

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

Datenmanipulation

1-2 hours

Projekt

Cleaning Bank Marketing Campaign Data

  • IntermediateSkill Level
  • 4.2+
  • 2.1K

Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.

Softwareentwicklung

Less than 1 hour

Projekt

Creating Functions to Register App Users

  • BeginnerSkill Level
  • 3.9+
  • 1.8K

Define functions to catch errors when new users register for an app!

Softwareentwicklung

1-2 hours

Projekt

Data-Driven Product Management: Conducting a Market Analysis

  • BeginnerSkill Level
  • 4.0+
  • 1.8K

Explore local and global fitness trends to identify product niches. Investigate online interest in gyms, workouts, digital services, and web apps.

Programmierung mit Python, Datenmanipulation

1-2 hours

Projekt

Clustering Antarctic Penguin Species

  • IntermediateSkill Level
  • 4.4+
  • 1.7K

Arctic Penguin Exploration: Unraveling Clusters in the Icy Domain with K-means Clustering

Machine Learning

1-2 hours

Projekt

Hypothesis Testing with Mens and Womens Soccer Matches

  • IntermediateSkill Level
  • 4.1+
  • 1.7K

Perform a hypothesis test to determine if more goals are scored in womens soccer matches than mens!

Wahrscheinlichkeit und Statistik

1-2 hours

Projekt

Building a Retail Data Pipeline

  • IntermediateSkill Level
  • 3.8+
  • 1.5K

Test your Data engineering skills by creating a data pipeline to analyze E-commerce business of Walmart!

Programmierung mit Python, Datenmanipulation, Data Engineering

Less than 15 minutes

Projekt

Modeling Car Insurance Claim Outcomes

  • IntermediateSkill Level
  • 4.4+
  • 1.4K

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

Machine Learning, Wahrscheinlichkeit und Statistik

1-2 hours

Projekt

Predicting Movie Rental Durations

  • IntermediateSkill Level
  • 4.1+
  • 1.2K

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

Machine Learning

1-2 hours

Projekt

Predicting Credit Card Approvals

  • IntermediateSkill Level
  • 4.4+
  • 1.1K

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

Programmierung mit Python, Machine Learning

1-2 hours

Projekt

Performing a Code Review

  • IntermediateSkill Level
  • 4.1+
  • 985

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

Softwareentwicklung, Data Engineering

1-2 hours

Projekt

Whats in an Avocado Toast: A Supply Chain Analysis

  • BeginnerSkill Level
  • 3.9+
  • 947

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

Programmierung mit Python, Datenmanipulation

1-2 hours

Projekt

Getting a Good Nights Sleep

  • BeginnerSkill Level
  • 4.1+
  • 700

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

Datenmanipulation, Explorative Datenanalyse

1-2 hours

Projekt

Building RAG Chatbots for Technical Documentation

  • IntermediateSkill Level
  • 3.9+
  • 694

Implement retrieval augmented generation (RAG) with LangChain to create a chatbot for answering questions about technical documentation.

Künstliche Intelligenz

1-2 hours

Projekt

Analyzing Car Reviews with LLMs

  • AdvancedSkill Level
  • 3.2+
  • 686

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

Künstliche Intelligenz

1-2 hours

Projekt

Hypothesis Testing in Healthcare

  • IntermediateSkill Level
  • 3.9+
  • 680

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

Programmierung mit Python, Datenmanipulation, Wahrscheinlichkeit und Statistik

1-2 hours

Projekt

Debugging a Sales Data Workflow

  • BeginnerSkill Level
  • 3.8+
  • 638

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

Datenmanipulation

Less than 15 minutes

Projekt

Extracting TV Data Insights

  • BeginnerSkill Level
  • 4.2+
  • 583

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

Datenmanipulation

Less than 1 hour

Projekt

Building a Calorie Intake Calculator

  • BeginnerSkill Level
  • 4.1+
  • 580

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

Softwareentwicklung

Less than 1 hour

Projekt

Interstellar Delivery: Mastering Datetime in Python

  • IntermediateSkill Level
  • 4.2+
  • 544

Manipulate date and time using Python

Softwareentwicklung

1-2 hours

Projekt

Detecting Cybersecurity Threats using Deep Learning

  • IntermediateSkill Level
  • 4.0+
  • 488

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

Künstliche Intelligenz

1-2 hours

Projekt

From Data to Dollars - Predicting Insurance Charges

  • IntermediateSkill Level
  • 3.8+
  • 465

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

Machine Learning

1-2 hours

Projekt

Predicting Temperature in London

  • AdvancedSkill Level
  • 4.4+
  • 457

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

Machine Learning

1-2 hours

Projekt

Building Financial Reports

  • IntermediateSkill Level
  • 3.9+
  • 449

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.

Angewandte Finanzwissenschaft

1-2 hours

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FAQs

Muss ich irgendeine Software herunterladen, um auf dem DataCamp zu lernen?

Nein. Du kannst auf Datacamp lernen, ohne Software installieren zu müssen - alle Schulungen und Übungen kannst du in deinem Browser mit einer Jupyter Notebook-Umgebung absolvieren.

Kann ich meine abgeschlossenen Projekte teilen?

Ja. Du kannst sowohl vollständige als auch unvollständige Projekte herunterladen, um sie zu deinem GitHub oder einem anderen persönlichen Portfolio hinzuzufügen.

Kann ich ein Projekt sowohl im geführten als auch im ungeführten Modus abschließen?

Du kannst die Projekte in beiden Lernmodi so oft wiederholen, wie du willst.