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  • Type MOOC course
  • Period Always open
  • hr Study freely
  • Course approval method Automatic approval

Instructor Introduction

  • SW교육센터

    경북대학교

  • Anand Paul

    경북대학교 컴퓨터학부 교수

Lecture plan

강의목록
  1. CHAPTER 1
    1. Introduction to Data Science
  2. CHAPTER 2
    1. Big Data Quality
  3. CHAPTER 3
    1. Steps in Big Data Processing
  4. CHAPTER 4
    1. Regression
  5. CHAPTER 5
    1. Classification
  6. CHAPTER 6
    1. Classifier
  7. CHAPTER 7
    1. Data Analysis using Python
  8. CHAPTER 8
    1. Probability and Statistics for Data Science
  9. CHAPTER 9
    1. Queuing Theory
  10. CHAPTER 10
    1. Python for Data Analysis
  11. CHAPTER 11
    1. DS tool Power Bi
  12. CHAPTER 12
    1. DS tool Tableau
  13. CHAPTER 13
    1. DS Inverse Function
  14. CHAPTER 14
    1. Prob and Stat for Data Science