Data Science Infographic

• 🔍 Welcome to Data Science 101!
  • 📘 What is Data Science?
  • 🔄 The Data Science Life Cycle
  • 📊 Interactive Data Visualization
  • 🧠 Quick Quiz
  • ⚙️ Model Tuning Simulator
  • 📚 Flashcards: Key Terms
  • 💡 Did You Know?
  • 📈 Popular Languages in Data Science
  • 📌 Final Thoughts
• 🔍 Guess the Chart
  • 📊 Chart Descriptions:
  • 📊 Chart Descriptions:

🔍 Welcome to Data Science 101!

📘 What is Data Science?

Data Science combines statistics, computer science, and domain knowledge to extract insights from data. It involves data collection, cleaning, exploration, modeling, and interpretation. It's used in industries like healthcare, finance, e-commerce, and entertainment to make smarter decisions.

Data science is a field that combines statistics, coding, and domain knowledge to extract insights from data. It powers everything from Netflix recommendations to disease prediction models.

🔄 The Data Science Life Cycle

• 1. Problem Definition
• 2. Data Collection
• 3. Data Cleaning
• 4. Exploratory Data Analysis (EDA)
• 5. Modeling
• 6. Evaluation
• 7. Communication

📊 Interactive Data Visualization

Explore the number of data science jobs across industries:

🧠 Quick Quiz

Which of the following is NOT a step in the Data Science Life Cycle?

⚙️ Model Tuning Simulator

Use the slider below to adjust the complexity of a model and see how it affects underfitting and overfitting.

Model Complexity: 3

📉 Model is underfitting. Try increasing complexity.

📚 Flashcards: Key Terms

Click to flip the card and learn the definition!

What is Overfitting?

💡 Did You Know?

Click the button to see a fun data science fact!

📈 Popular Languages in Data Science

This chart shows the popularity of programming languages used by data scientists:

📌 Final Thoughts

Data Science is a powerful tool in today’s world. With curiosity and the right skills, anyone can dive into data and discover meaningful insights. Keep exploring, experimenting, and learning!

🔍 Guess the Chart

Score: 0