Course No: 0907546
Course Name: Big Data Analysis

Microsoft Team: Link

Handouts and Slides:

• Course Syllabus (pdf)
• Course Introduction (pptx)
• Python
• Python Introduction (pdf)
• Python Basics (pdf)
• Important Python Packages (pdf)
• Advanced Python (pdf)
• NumPy (pdf)
• Big Data
• Introduction to Big Data (pdf)
• Big Data Patterns (pdf)
• Data Analysis
• Pandas (pdf)
• Data Loading, Storage, and File Formats (pdf)
• Data Cleaning and Preparation (pdf)
• Data Wrangling (pdf)
• Plotting and Visualization (pdf)
• Data Aggregation and Group Operations (pdf)
• Time Series (pdf)

Videos:

• Python
• Python Introduction (YouTube) by M. Abdel-Majeed
• Python Basics (YouTube: Part 1, Part 2, Part 3) by G. Abandah
• Important Python Packages (YouTube) by M. Abdel-Majeed

Homework:

• HW1: Toolkits (pdf)
• HW2: Basic Python Programming (pdf)
• HW3: Files (pdf, file1.txt)
• HW4: NumPy (pdf)

Solutions:

• Quiz 1A (pdf), Quiz 1B (pdf)

Grades and Attendance:

• Grades sheet (TBA)

Last update on 25/10/2022