Course overview

Course Teacher

Md Rasel Biswas
MS & BS in Applied Statistics (DU)
Lecturer at DU since July 2022
Email: rasel@du.ac.bd
Personal Website: https://rasel.rbind.io

Course introduction

Course Title: Python for Data Science (Lab)

Course Code: CSE331

Credit Hour: 2

Python has become one of the most popular programming languages for data science due to its simplicity, versatility, and robust data analysis and machine learning capabilities. As organizations continue to digitize and generate increasingly large amounts of data, open-source tools like Python can enable data manipulation and exploration, machine learning, and statistical analysis in a scalable manner. This course provides a gentle introduction to programming in Python and its applications in data science and analytics.

Course objectives

Upon completing this course, students will have developed a foundational understanding of the Python programming language. Specifically, students will be able to:

Understand the fundamentals of Python programming, including basic syntax, data types, control structures, and functions.
Perform data analysis using numpy and pandas, including data manipulation and exploratory data analysis.
Create effective data visualizations using matplotlib and seaborn.
Produce dynamic statistical reports using interpreting and documenting visualizations and analyses of real-world problems.

Textbooks

Python for Data Analysis, 3E

Lecture time

Every Wednesday 1:45 PM – 3:05 PM at ISRT Computer Lab 1 (Room 403)

Assessment

Attendance: 5%
Assignments: 5%
Incourse exams: 30%
Final exam: 60%