AdvancedAI & MLLive Data
AI-1: Data Analysis and Data Science
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
AI-1: Data Analysis and Data Science
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
PythonData
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
Python basics and Jupyter environment
Lesson MaterialsActivitySubmission
2
Variables and Operators
Variables and basic operators
Lesson MaterialsActivitySubmission
3
List + Conditional Statement
Lists and conditional logic
Lesson MaterialsActivitySubmission
4
Loop
Loop structures and iteration
Lesson MaterialsActivitySubmission
5
Project One: Ice Cream Analysis
Apply Python fundamentals to data analysis
Exit Ticket
6
Dictionary
Key-value data structures
Lesson MaterialsActivitySubmission
7
Function + Package
Functions and package management
Lesson MaterialsActivitySubmission
8
Project 2: Covid-19 Cases Prediction
Data analysis with functions
Exit Ticket
9
NumPy + Descriptive Statistics
Numerical computing and statistics
Lesson MaterialsActivitySubmission
10
PrettyTable + Data Visualization
Tables and charts with Matplotlib
Lesson MaterialsActivitySubmission
11
Project 3: Exam Results Analysis
Statistical analysis and visualization
Exit Ticket
12
Quiz 1
Assessment of fundamentals
Lesson MaterialsActivity
13
Introduction to Data Analysis + Pandas
Data analysis and Pandas library
Lesson MaterialsActivitySubmission
14
CSV Files + Data Cleaning
Working with CSV files and data cleaning
Lesson MaterialsActivitySubmission
15
Data Manipulation
Advanced data transformation
Lesson MaterialsActivitySubmission
16
Data Grouping and Joining
Data aggregation and combining datasets
Lesson MaterialsActivitySubmission
17
Data Interpretation
Data insights and report creation
Lesson MaterialsActivitySubmission
18
Project 4: Google Play Store (Part 1)
Dataset exploration
Exit Ticket
19
Project 4: Google Play Store (Part 2)
Data visualization and reporting
Exit Ticket
20
Quiz 2
Advanced assessment
Lesson MaterialsActivity
21
Final Project (Part 1)
Project planning and analysis
Exit Ticket
22
Final Project (Part 2)
Implementation and development
Exit Ticket
23
Final Project (Part 3)
Presentation and documentation
Exit Ticket
24
Graduation
Project evaluation and course completion
Lesson MaterialsActivitySubmission
Course Information
Course CodeAI1
Age Group10+ years old
Class SizeMax 8 students
Teacher Ratio1:8
Learning ModeHYBRID
Last Updated8/31/2025
Data SourceGitHub
Key Benefits
Python
Master Python through practical application
Data
Master Data 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.
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Limited seats available