Learn data analysis techniques using Python, focusing on libraries like NumPy, Matplotlib, and Pandas to derive insights from real-world datasets.
Get ready to embark on an exciting learning journey
Welcome aboard the most exciting journey into the world of data! Have you ever wondered how Netflix knows what shows you'll love? Or how weather apps predict tomorrow's weather? That's the power of data science, and you're about to become a master at it!
In this amazing program, you'll learn to speak the language of computers (Python :emoji:) and use it to uncover hidden stories in data. By the end of this course, you'll be creating your own data projects that can analyze anything from your favorite games to real-world problems!
🎯 START HERE
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📚 Foundation (Lessons 1-4)
→ Master Python basics
→ Learn Jupyter Notebook
→ Variables, Lists & Loops
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🍦 Project 1: Ice Cream Analysis
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💪 Power Skills (Lessons 6-8)
→ Dictionaries & Functions
→ Working with Packages
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🦠 Project 2: COVID-19 Prediction
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📊 Data Mastery (Lessons 9-11)
→ NumPy & Statistics
→ Data Visualization
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📈 Project 3: Exam Results Analysis
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🎓 Professional Skills (Lessons 13-17)
→ Pandas Power
→ Data Cleaning & Manipulation
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📱 Project 4: Google Play Store Analysis
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🌟 FINAL PROJECT & GRADUATION!
Get ready for an incredible adventure! This program will transform you from a curious student into a confident data analyst. You'll start with the basics and gradually build your superpowers in Python programming and data science.
Don't worry if you've never coded before - we'll start from the very beginning and guide you every step of the way!
| Lesson | Topic | Objectives | Notes/File Link | Activities Link | Exit Ticket | Submission Link |
|---|---|---|---|---|---|---|
| 1 | Introduction to Python + Jupyter Notebook | * Understanding Python basics* Learning Jupyter Notebook environment | Introduction to PythonJupyter Notebook | Activity 1Activity 2 | ET-1ET-2 | Submit C1Submit C2 |
| 2 | Variables and Operators | * Understanding variables* Learning operators | Variables & Operators | Activity 3 | ET-3 | Submit |
| 3 | List + Conditional Statement | * Understanding lists* Learning conditional statements | ListConditional Statement | Activity 4Activity 5 | ET-4ET-5 | Submit |
| 4 | Loop | * Understanding loops* Implementing loop structures | Loop | Activity 6 | ET-6 | Submit |
| 5 | Project One: Ice Cream Analysis | * Applying learned concepts* Data analysis practice | Ice Cream Analysis | - | Project-1 | Submit |
| 6 | Dictionary | * Understanding dictionaries* Working with key-value pairs | Dictionary | Activity 7 | ET-7 | Submit |
| 7 | Function + Package | * Creating and using functions* Package management | FunctionPackage | Activity 8Activity 9 | ET-8ET-9 | Submit |
| 8 | Project 2: Covid-19 Cases Prediction | * Applying functions* Data analysis | Covid-19 Cases Prediction | - | Project-2 | Submit |
| 9 | NumPy + Descriptive Statistics | * NumPy basics* Statistical analysis | NumPyDescriptive Statistics | Activity 10Activity 11 | ET-10ET-11 | Submit |
| 10 | PrettyTable + Data Visualization | * Creating tables* Data visualization | PrettyTableData Visualization using Matplotlib | Activity 12Activity 13 | ET-12ET-13 | Submit |
| 11 | Project 3: Exam Results Analysis | * Data visualization* Statistical analysis | Exam Results Analysis | - | Project-3 | Submit |
| 12 | Quiz 1 | * Assessment of fundamentals | Quiz 1 Revision | Quiz-1 | - | - |
| 13 | Introduction to Data Analysis + Pandas | * Data analysis concepts* Pandas basics | Introduction to Data AnalysisPandas | Activity 14Activity 15 | ET-14ET-15 | Submit C14Submit C15 |
| 14 | CSV Files + Data Cleaning | * Working with CSV* Data cleaning | Read and Export CSV File with PandasData Cleaning with Pandas | Activity 16Activity 17 | ET-16ET-17 | Submit |
| 15 | Data Manipulation | * Advanced manipulation* Data transformation | Data Manipulation with Pandas | Activity 18 | ET-18 | Submit |
| 16 | Data Grouping and Joining | * Data aggregation* Combining datasets | Data Grouping and Data Joining with Pandas | Activity 19 | ET-19 | Submit |
| 17 | Data Interpretation | * Data insights* Report creation | Data Interpretation and Report Making | Activity 20 | ET-20 | Submit |
| 18 | Project 4: Google Play Store (Part 1) | * Data analysis* Dataset exploration | Google Play Store Analysis | - | - | - |
| 19 | Project 4: Google Play Store (Part 2) | * Data visualization* Report generation | Google Play Store Analysis | - | Project-4 | Submit |
| 20 | Quiz 2 | * Advanced assessment | Quiz 2 Revision | Quiz-2 | - | - |
| 21 | Final Project (Part 1) | * Project planning* Initial analysis | Final Project | - | - | - |
| 22 | Final Project (Part 2) | * Implementation* Development | Final Project | - | - | - |
| 23 | Final Project (Part 3) | * Presentation* Documentation | Final Project | - | Project-5 | Submit |
| 24 | Graduation | * Project evaluation* Course completion | Download Graduation Background | Complete Feedback Form | Submit Testimonial | - |
By the end of this amazing journey, you'll have gained incredible skills that will make you stand out:
With these skills, you'll be ready to:
Remember, every expert was once a beginner! This journey might seem challenging at times, but that's how you know you're learning something valuable. We're here to support you every step of the way.
You've got this! Let's start this amazing adventure together! :tada:
What you'll achieve by the end of this course
Apply data analysis techniques to real-world problems
Use Python libraries for data analysis
Master Python data analysis libraries
Work with actual datasets and problems