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Contents

1 옄猷뚯닔吏(Data Collection)
2 湲곗닠넻怨(Descriptive Statistics)
3 깘깋쟻 뜲씠꽣 遺꾩꽍(Exploratory Data Analysis)
4 異붿젙(Estimation)
5 媛꽕 寃젙(Hypothesis Testing)
6 쉶洹(Regression)
7 遺꾨쪟(Classification)
8 援곗쭛(Clustering)
9 李멸퀬옄猷


옉꽦以...
Python쑝濡 빐蹂대젮怨좊뒗 븯怨 엳뒗뜲.. 븘吏곴퉴吏 R씠 썾뵮 렪븳떎.. 븘.. 븯湲 떕떎..


떎쓬 洹몃┝ 媛쒕왂쟻씤 뜲씠꽣 遺꾩꽍쓽 쓲由꾩쓣 蹂댁뿬以떎. 넻怨꾩 癒몄떊 윭떇쓽 寃쎄퀎媛 紐⑦샇븯怨 遺꾨챸엳 援먯쭛빀[1]씠 엳吏留,
  • 넻怨(Statistics): 異붿젙(Estimation), 媛꽕 寃利(Hypothesis Testing)
  • 癒몄떊 윭떇(Machine Learning): 遺꾨쪟(Classification), 援곗쭛(Clustering), 쉶洹(Regression)
怨 媛숈씠 遺꾨쪟븯硫 議곌툑 렪븷 寃 媛숇떎.
data_analysis.png


import pandas as pd
import numpy as np

2 湲곗닠넻怨(Descriptive Statistics) #

븘.. python쑝濡 빐빞 븯굹? 궃 SQL怨 Excel씠 썾뵮 렪븯떒 留먯씠빞..

紐⑹쟻
  • 뜲씠꽣쓽 씠빐瑜 쐞빐 떆媛곹솕븯怨 슂빟
  • 뜲씠꽣쓽 듅꽦 諛 遺꾪룷 뙆븙

뜲씠꽣 궡렣蹂닿린

3 깘깋쟻 뜲씠꽣 遺꾩꽍(Exploratory Data Analysis) #


4 異붿젙(Estimation) #


5 媛꽕 寃젙(Hypothesis Testing) #

6 쉶洹(Regression) #

8 援곗쭛(Clustering) #

9 李멸퀬옄猷 #

  • 뙆씠뜫 씪씠釉뚮윭由щ 솢슜븳 癒몄떊윭떇/븞뱶젅븘뒪 裕먮윭 , 꽭씪 媛씠룄 吏쓬/븳鍮쏅몃뵒뼱/9788968483394(8968483396)
  • 뙆씠뜫 씪씠釉뚮윭由щ 솢슜븳 뜲씠꽣 遺꾩꽍/썾뒪 罹묓궎땲 吏쓬/븳鍮쏅몃뵒뼱/9788968480478(8968480478)
  • Think Stats/븿윴 B. 떎슦땲 吏쓬/븳鍮쏅몃뵒뼱/9788968486340
  • 洹몄쇅쓽 湲고 寃깋..
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   [1]  몴쟻쑝濡 쉶洹(Regression)씠 洹몃젃떎
   [2]  뜲씠꽣 遺꾩꽍쓣 쐞빐 뜲씠꽣瑜 import빐빞 븳떎. 寃쏀뿕쟻쑝濡쒕뒗 떎쓬쓽 3媛吏媛 遺遺꾩씠떎.
   [3]  pandas쓽 dataframe씠굹 series뿉꽌 뜲씠꽣瑜 二쇰Т瑜대뒗 諛⑸쾿뱾
   [4]  R뿉꽌쓽 sqldf 鍮꾩듂븳 寃
뙎湲 궓湲곌린..
씠由: : 삤瑜몄そ쓽 깉濡쒓퀬移⑥쓣 겢由빐 二쇱꽭슂. 깉濡쒓퀬移
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