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 create visualizations to tell data stories.

Learning Outcomes

By the end of this course, you will:

• Master Python for data analysis and visualization
• Build predictive models using real-world datasets
• Create data-driven insights using Pandas and NumPy

Prerequisites

• Computer with internet connection
• No prior programming experience needed

AI-1 Data Analysis and Data Science - Session Logistics

Lesson	Topic	Objectives	Notes/File Link	Activities Link	Projects	Exit Ticket	Submission Link
1	Introduction to Python + Jupyter Notebook	Python basics and Jupyter environment	Concept 01: Introduction to Python Concept 02: Jupyter Notebook	Activity 01: Introduction to Python Activity 02: Jupyter Notebook	-	ET-1 ET-2	Submit Activity C1 Submit Activity C2
2	Variables and Operators	Variables and basic operators	Concept 03: Variables & Operators	Activity 03: Variables & Operators	-	ET-3	Submit Activity
3	List + Conditional Statement	Lists and conditional logic	Concept 04: List Concept 05: Conditional Statement	Activity 04: List Activity 05: Conditional Statement	-	ET-4 ET-5	Submit Activity
4	Loop	Loop structures and iteration	Concept 06: Loop	Activity 06: Loop	-	ET-6	Submit Activity
5	Project One: Ice Cream Analysis	Apply Python fundamentals to data analysis	-	-	Ice Cream Analysis	-	Submit Project
6	Dictionary	Key-value data structures	Concept 07: Dictionary	Activity 07: Dictionary	-	ET-7	Submit Activity
7	Function + Package	Functions and package management	Concept 08: Function Concept 09: Package	Activity 08: Function Activity 09: Package	-	ET-8 ET-9	Submit Activity
8	Project 2: Covid-19 Cases Prediction	Data analysis with functions	-	-	Covid-19 Cases Prediction	-	Submit Project
9	NumPy + Descriptive Statistics	Numerical computing and statistics	Concept 10: NumPy Concept 11: Descriptive Statistics	Activity 10: NumPy Activity 11: Descriptive Statistics	-	ET-10 ET-11	Submit Activity
10	PrettyTable + Data Visualization	Tables and charts with Matplotlib	Concept 12: PrettyTable Concept 13: Data Visualization using Matplotlib	Activity 12: PrettyTable Activity 13: Data Visualization using Matplotlib	-	ET-12 ET-13	Submit Activity
11	Project 3: Exam Results Analysis	Statistical analysis and visualization	-	-	Exam Results Analysis	-	Submit Project
12	Quiz 1	Assessment of fundamentals	Quiz 1 Revision	Quiz-1	-	-	-
13	Introduction to Data Analysis + Pandas	Data analysis and Pandas library	Concept 14: Introduction to Data Analysis Concept 15: Pandas	Activity 14: Introduction to Data Analysis Activity 15: Pandas	-	ET-14 ET-15	Submit Activity C14 Submit Activity C15
14	CSV Files + Data Cleaning	Working with CSV files and data cleaning	Concept 16: Read and Export CSV File with Pandas Concept 17: Data Cleaning with Pandas	Activity 16: Read and Export CSV File with Pandas Activity 17: Data Cleaning with Pandas	-	ET-16 ET-17	Submit Activity
15	Data Manipulation	Advanced data transformation	Concept 18: Data Manipulation with Pandas	Activity 18: Data Manipulation with Pandas	-	ET-18	Submit Activity
16	Data Grouping and Joining	Data aggregation and combining datasets	Concept 19: Data Grouping and Data Joining with Pandas	Activity 19: Data Grouping and Data Joining with Pandas	-	ET-19	Submit Activity
17	Data Interpretation	Data insights and report creation	Concept 20: Data Interpretation and Report Making	Activity 20: Data Interpretation and Report Making	-	ET-20	Submit Activity
18	Project 4: Google Play Store (Part 1)	Dataset exploration	-	-	Google Play Store Analysis	-	-
19	Project 4: Google Play Store (Part 2)	Data visualization and reporting	-	-	Google Play Store Analysis	-	Submit Project
20	Quiz 2	Advanced assessment	Quiz 2 Revision	Quiz-2	-	-	-
21	Final Project (Part 1)	Project planning and analysis	-	-	Final Project	-	-
22	Final Project (Part 2)	Implementation and development	-	-	Final Project	-	-
23	Final Project (Part 3)	Presentation and documentation	-	-	Final Project	-	Submit Project
24	Graduation	Project evaluation and course completion	Download Graduation Background	Complete Feedback Form	-	Submit Testimonial	-

Quick Links

• Exit Tickets - Assessment questions
• Course Materials - All lesson content
• Project Templates - Project specifications