AdvancedAI & MLLive Data
AI1: Data Analysis with Python
Learn Python programming and data science fundamentals through hands-on projects. Master Python basics, work with data using NumPy and Pandas, and cre...
AdvancedAI & MLLive Data
AI1: Data Analysis with Python
Learn Python programming and data science fundamentals through hands-on projects. Master Python basics, work with data using NumPy and Pandas, and cre...
Lessons
20
Activities
20
Projects
5
Duration
24 sessions • 6 months
About This Course
Learn Python programming and data science fundamentals through hands-on projects. Master Python basics, work with data using NumPy and Pandas, and create visualizations to tell data stories.
Prerequisites
- Computer with internet connection
- No prior programming experience needed
Skills You'll Learn
PythonNumpyData AnalysisPandas
This course consists of 24 structured sessions over 6 months. Each session includes lessons, activities, projects, and assessments to ensure comprehensive learning.
1
Introduction to Python + Jupyter Notebook
Lesson MaterialsActivity
2
Variables and Operators
Lesson MaterialsActivity
3
List + Conditional Statement
Lesson MaterialsActivity
4
Loop
Lesson MaterialsActivity
5
Project 1: Ice Cream Analysis
Activity
6
Dictionary
Lesson MaterialsActivity
7
Function + Package
Lesson MaterialsActivity
8
Project 2: Covid-19 Cases Prediction
Activity
9
NumPy + Descriptive Statistics
Lesson MaterialsActivity
10
PrettyTable + Data Visualization
Lesson MaterialsActivity
11
Project 3: Exam Results Analysis
Activity
12
Quiz 1
Lesson MaterialsActivity
13
Introduction to Data Analysis + Pandas
Lesson MaterialsActivity
14
CSV Files + Data Cleaning
Lesson MaterialsActivity
15
Data Manipulation
Lesson MaterialsActivity
16
Data Grouping and Joining
Lesson MaterialsActivity
17
Data Interpretation
Lesson MaterialsActivity
18
Project 4: Google Play Store (Part 1)
Activity
19
Project 4: Google Play Store (Part 2)
Activity
20
Quiz 2
Lesson MaterialsActivity
21
Final Project (Part 1)
Activity
22
Final Project (Part 2)
Activity
23
Final Project (Part 3)
Activity
24
Graduation
Lesson MaterialsActivity
Course Information
Course CodeAI1
Age Group13 years old and above
Class SizeMax 8 students
Teacher Ratio1:8
Learning ModeHYBRID
Last Updated4/11/2026
Data SourceGitHub
Key Benefits
Python
Master Python through practical application
Numpy
Master Numpy through practical application
Data Analysis
Master Data Analysis through practical application
Learning Outcomes
Practical Skills
Build real-world applications and projects
Problem Solving
Develop computational thinking and problem-solving abilities
Ready to Start?
Join this course and start your learning journey today.