Our comprehensive learning path is designed to take you from foundational skills to advanced data science expertise. Each level builds upon the previous one, providing a structured approach to mastering data science and machine learning.
Click on a level below to view its detailed schedule:
Build essential skills in programming, mathematics, and statistics needed for data science. Duration: 12 weeks (3 months)
| Time | Sunday | Monday | Tuesday | Wednesday | Thursday |
|---|---|---|---|---|---|
| 09:00 - 11:00 |
Python Programming
Dr. James Wilson
Room 101
|
Mathematics for DS
Prof. Lisa Zhang
Room 203
|
Python Programming
Dr. James Wilson
Room 101
|
Mathematics for DS
Prof. Lisa Zhang
Room 203
|
Hands-on Workshop
Various Instructors
Lab 01
Weekly practical exercises
|
| 11:00 - 13:00 |
Intro to Statistics
Dr. Michael Brown
Room 105
|
Data Manipulation
Dr. Sarah Chen
Room 102
|
Intro to Statistics
Dr. Michael Brown
Room 105
|
Data Manipulation
Dr. Sarah Chen
Room 102
|
|
| 13:00 - 14:00 |
Lunch Break
|
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| 14:00 - 16:00 |
Self-Study & Practice Labs
Instructors available for assistance
|
Office Hours
All Instructors
Student Center
|
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Learn to extract insights from data and communicate findings effectively. Duration: 12 weeks (3 months)
| Time | Monday | Tuesday | Wednesday | Thursday | Friday |
|---|---|---|---|---|---|
| 09:00 - 11:00 |
Exploratory Data Analysis
Dr. Emily Parker
Room 201
|
Data Visualization
Prof. Robert Lee
Room 203
|
Exploratory Data Analysis
Dr. Emily Parker
Room 201
|
Data Visualization
Prof. Robert Lee
Room 203
|
Data Analysis Projects
Various Instructors
Lab 02
Weekly project work
|
| 11:00 - 13:00 |
SQL for Data Science
Dr. David Kim
Room 105
|
Applied Statistics
Dr. Jennifer Wu
Room 102
|
SQL for Data Science
Dr. David Kim
Room 105
|
Applied Statistics
Dr. Jennifer Wu
Room 102
|
|
| 13:00 - 14:00 |
Lunch Break
|
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| 14:00 - 16:00 |
Visualization Lab & Practice
Hands-on practice with visualization tools
|
Office Hours
All Instructors
Student Center
|
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Master the core concepts and algorithms of machine learning. Duration: 16 weeks (4 months)
| Time | Monday | Tuesday | Wednesday | Thursday | Friday |
|---|---|---|---|---|---|
| 09:00 - 11:00 |
Intro to Machine Learning
Dr. Alex Johnson
Room 301
|
Supervised Learning
Prof. Maria Garcia
Room 303
|
Intro to Machine Learning
Dr. Alex Johnson
Room 301
|
Supervised Learning
Prof. Maria Garcia
Room 303
|
ML Implementation Workshop
Industry Experts
Lab 03
Practical ML implementation
|
| 11:00 - 13:00 |
Unsupervised Learning
Dr. Thomas Lee
Room 305
|
Time Series Analysis
Dr. Rachel Cohen
Room 302
|
Unsupervised Learning
Dr. Thomas Lee
Room 305
|
Time Series Analysis
Dr. Rachel Cohen
Room 302
|
|
| 13:00 - 14:00 |
Lunch Break
|
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| 14:00 - 16:00 |
Model Evaluation & Validation
Dr. Kevin Patel
Room 304
|
Feature Engineering
Prof. Sophia Martinez
Room 306
|
Office Hours
All Instructors
Student Center
|
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Explore neural networks and advanced machine learning concepts. Duration: 16 weeks (4 months)
| Time | Monday | Tuesday | Wednesday | Thursday | Friday |
|---|---|---|---|---|---|
| 09:00 - 12:00 |
Natural Language Processing
Dr. Olivia Chen
Room 401
|
Reinforcement Learning
Prof. Daniel Park
Room 403
|
Natural Language Processing
Dr. Olivia Chen
Room 401
|
Reinforcement Learning
Prof. Daniel Park
Room 403
|
Advanced AI Projects
Various Experts
Lab 04
Project-based learning
|
| 12:00 - 13:00 |
Lunch Break
|
||||
| 14:00 - 17:00 |
Deep Learning Fundamentals
Dr. William Taylor
Room 402
|
Convolutional Neural Networks
Prof. Jessica Wong
Room 404
|
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Apply advanced techniques to specific domains and real-world problems. Duration: 16 weeks (4 months)
| Time | Monday | Tuesday | Wednesday | Thursday | Friday |
|---|---|---|---|---|---|
| 09:00 - 12:00 |
Domain-Specific Applications
Dr. Sophia Williams
Room 501
|
Capstone Project Mentoring
Various Mentors
Room 503
|
Domain-Specific Applications
Dr. Sophia Williams
Room 501
|
Capstone Project Mentoring
Various Mentors
Room 503
|
Industry Expert Sessions
Guest Speakers
Conference Hall
Weekly industry insights
|
| 12:00 - 13:00 |
Lunch Break
|
||||
| 14:00 - 17:00 |
Big Data Technologies
Prof. Michael Chen
Room 505
|
MLOps & Deployment
Dr. Jessica Taylor
Room 507
|
Big Data Technologies
Prof. Michael Chen
Room 505
|
MLOps & Deployment
Dr. Jessica Taylor
Room 507
|
Office Hours
All Instructors
Student Center
|
