Topic outline

  • General

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  • Course Sheet

    Level: 1st Year Master - Artificial Intelligence and Big Data (M1-IABD).

    Semester: 1

    Subject: Introduction to Data Science (IDS).

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    Unit: Methodological 1

    Credit: 04

    Coefficient: 02

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    Lecturer: Noureddine AZZOUZA

    Email: n.azzouza@univ-dbkm.dz

  • Course objectives

    • Allow students to understand the principles of Data Analytics and Data Science

  • Teaching and assessment methods

    The Weekly Volume of this course "IDS" in hours is as follows:

    • Lecture : 1 session
    • Practical work : 1 session

    Therefore, the student must practice the concepts learned in the course and the tutorial as much as possible.

    The evaluation of the subject will be as follows:

    • Lecture : ------> Final Exam
    • PW : ----------> PW test + homework

  • Course topics

  • CHAPTER 1: INTRODUCTION to Data Science

  • CHAPTER 2: Data Science Pipeline

  • Chapter 3 : Data Science Tools

  • Chapter 4 : Data Science Sources

  • Chapter 5 : Data Communication and Visualization