Instructor:

Name: Email: Phone: Office:

Tran Hoai Thuan thuanth@giadinh.edu.vn   371 Nguyen Kiem

Summary:

In this course, you will learn how to analyze data using Python - one of the most popular programming languages in the world. You’ll learn how to import, clean, manipulate, and visualize data - all integral skills for any data professional or researcher. You’ll also get hands-on with some of the most popular Python libraries, including pandas, NumPy, Seaborn, and many more. As you progress through the courses, you’ll cover topics such as data manipulation and joining data. You’ll also learn key statistics skills, like hypothesis testing...

Materials: Python 3.x, Visual Studio Code

Contents & Lectures:

Chapter 1: Introduction to Python

1. Python Basics (PDF)

2. Python Lists (PDF)

3. Functions and Packages (PDF)

4. NumPy (PDF)

Chapter 2: Intermediate Python

1. Matplotlib (PDF)

2. Dictionaries and Pandas (PDF)

3. Logic, Control Flow and Filtering (PDF)

4. Loops (PDF)

5. Case Study Hacker Statistics (PDF)

References:

Assignments:

Exams:

- Midterm grade: 60% assignment scores + 40% attendance scores

+ Unexcused Absence: -1 points/ times

+ Excused Absence/Delay: -0.5 points/ times

- Final grade: Project

Others:

- Zalo Group