Python for Data Science Free 7-Day Mini-Course

Join our Python for Data Science Free 7-Day Mini-Course and unlock the power of data! This course is designed for beginners who want to dive into the world of data science using Python.

• Learn the basics of Python programming.
• Understand data manipulation with libraries like Pandas.
• Explore data visualization techniques.
• Get hands-on with real-world data science projects.

Enroll now and start your journey in data science today! 🚀

🧭 Day 1 – The Great Data Awakening

Topic: What is Data Science and Why Python Owns It
You’ll Learn:

• What data science actually means (without the jargon)
• How Python became the king of data tools
• The real-world applications (Netflix, Spotify, Finance, AI)
• Setting up your Python environment (Anaconda, Jupyter, or VS Code)

Mini Project:
Install Python + Jupyter Notebook and run your first “Hello, Data!” script.

🧩 Day 2 – Meet Your New Best Friends: NumPy & pandas

Topic: The Tools That Turn Chaos Into Clarity
You’ll Learn:

• NumPy: Arrays, slicing, and why it’s faster than loops
• pandas: DataFrames, Series, importing CSV files
• How to explore and summarize datasets like a pro

Mini Project:
Load a real dataset (e.g., coffee sales) and calculate averages, sums, and trends.

🎨 Day 3 – Visualizing Data Like a Designer

Topic: Matplotlib & Seaborn: When Data Gets Pretty
You’ll Learn:

• Creating line charts, bar plots, and heatmaps
• Styling your visuals for clarity and impact
• Real-world storytelling through data visuals

Mini Project:
Visualize trends (like “Top-Selling Coffee Products”) using Matplotlib.

🧹 Day 4 – Data Cleaning: The Not-So-Glamorous Magic

Topic: Fixing Messy Data (Without Losing Your Mind)
You’ll Learn:

• Handling missing values, duplicates, and errors
• Renaming columns, changing data types
• Why “garbage in, garbage out” matters more than you think

Mini Project:
Clean a messy dataset and prep it for analysis (like customer data or sales logs).

🤖 Day 5 – Smart Analysis & Insights

Topic: Finding Patterns That Actually Matter
You’ll Learn:

• Sorting, grouping, and filtering data
• Calculating correlations
• Identifying trends and anomalies

Mini Project:
Discover key insights — like “Which month had the highest revenue?”

⚡ Day 6 – Predict the Future (Just a Little)

Topic: Intro to Machine Learning with scikit-learn
You’ll Learn:

• Basic concept of ML and data models
• Splitting data into training/testing sets
• A super simple linear regression example

Mini Project:
Predict next month’s sales (or coffee consumption ☕) using scikit-learn.

🎓 Day 7 – Your First Real Data Science Project

Topic: Bringing It All Together (and Showing It Off)
You’ll Learn:

• Combining everything from Days 1–6 into one workflow
• Cleaning, analyzing, visualizing, and presenting results
• Exporting your findings (and building your mini portfolio)

Final Project Idea:
“Analyze and visualize your favorite dataset” (Netflix, sales, Spotify, etc.)