Go to login Go to sub menu Go to text

Course summary

  • Type MOOC course
  • Period Always open
  • Learning Time Study freely
  • Course approval method Automatic approval
  • Certificate Issue Online
Copy URL BAND Facebook Twitter
http://www.edwith.org/data-science
둘러보기
Thumb up 7 Learner 626

Data Science Fundamentals

SW교육센터, Anand Paul 경북대학교 소프트웨어교육원

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

Tag

#데이터과학 #빅데이터분석 #인공지능